Skip to main content
Erschienen in: BMC Gastroenterology 1/2023

Open Access 01.12.2023 | Research article

Impact of comorbidities on hospital mortality in patients with acute pancreatitis: a population-based study of 110,021 patients

verfasst von: Nils Jimmy Hidalgo, Elizabeth Pando, Rodrigo Mata, Nair Fernandes, Sara Villasante, Marta Barros, Daniel Herms, Laia Blanco, Joaquim Balsells, Ramon Charco

Erschienen in: BMC Gastroenterology | Ausgabe 1/2023

Abstract

Background

The impact of pre-existing comorbidities on acute pancreatitis (AP) mortality is not clearly defined. Our study aims to determine the trend in AP hospital mortality and the role of comorbidities as a predictor of hospital mortality.

Methods

We analyzed patients aged ≥ 18 years hospitalized with AP diagnosis between 2016 and 2019. The data have been extracted from the Spanish National Hospital Discharge Database of the Spanish Ministry of Health. We performed a univariate and multivariable analysis of the association of age, sex, and comorbidities with hospital mortality in patients with AP. The role of the Charlson and Elixhauser comorbidity indices as predictors of mortality was evaluated.

Results

A total of 110,021 patients diagnosed with AP were hospitalized during the analyzed period. Hospital mortality was 3.8%, with a progressive decrease observed in the years evaluated. In multivariable analysis, age ≥ 65 years (OR: 4.11, p < 0.001), heart disease (OR: 1.73, p < 0.001), renal disease (OR: 1.99, p < 0.001), moderate-severe liver disease (OR: 2.86, p < 0.001), peripheral vascular disease (OR: 1.43, p < 0.001), and cerebrovascular disease (OR: 1.63, p < 0.001) were independent risk factors for mortality. The Charlson > 1.5 (OR: 2.03, p < 0.001) and Elixhauser > 1.5 (OR: 2.71, p < 0.001) comorbidity indices were also independently associated with mortality, and ROC curve analysis showed that they are useful for predicting hospital mortality.

Conclusions

Advanced age, heart disease, renal disease, moderate-severe liver disease, peripheral vascular disease, and cerebrovascular disease before admission were independently associated with hospital mortality. The Charlson and Elixhauser comorbidity indices are useful for predicting hospital mortality in AP patients.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12876-023-02730-6.
This publication has been made as part of the Doctoral Program in Surgery and Morphologic Sciences of the Universitat Autònoma de Barcelona, Spain.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
AP
Acute pancreatitis
APACHE II
Acute physiology and chronic health evaluation II
CTSI
Computed tomography severity index
BISAP
Bedside index for severity in acute pancreatitis
RAE-CMBD
Registro de Actividad de Atención Especializada-Conjunto Mínimo Básico de Datos
ICD-10
International classification of diseases version 10
POA
Present on registration
ICU
Intensive care unit
ROC
Receiver-operating characteristic
AUC
Area under the curve
OR
Odds ratio
CI
Confidence interval

Background

Acute pancreatitis (AP) is a prevalent acute inflammatory disease that affects the pancreas, with an increased incidence in recent years [1, 2]. Most cases are mild with a self-limited course [3]. However, patients with severe acute pancreatitis have a high mortality rate (20–50%) [46]. For this reason, many efforts have been made to find predictors of severity and mortality in patients with AP [711] to identify patients who need admission to an intensive care unit or specific treatment.
In clinical practice, systems such as the Ranson score, the Acute Physiology and Chronic Health Evaluation II (APACHE II) score, the Computed Tomography Severity Index (CTSI), the Bedside Index for Severity in Acute Pancreatitis (BISAP), and various biochemical markers are used to predict severe AP and mortality [3, 1216]. However, hospital mortality in AP could also be related to intrinsic patient characteristics, such as individual comorbidities. Most classic scores do not consider comorbidities before admission, except for APACHE II, but are restricted to severe chronic diseases.
According to some previous studies, patients with certain comorbidities, such as obesity [17], hypertriglyceridemia [18], chronic renal failure [19], diabetes [20, 21], and systemic lupus erythematosus [22], are associated with a higher risk of AP severity and mortality. However, few studies currently evaluate the impact of comorbidities on AP severity and mortality.
Our study aimed to determine the relevance of comorbidities and their indexes (Charlson and Elixhauser) as predictors of hospital mortality in patients with AP.

Methods

Study design

We carried out a retrospective observational study using the Spanish National Hospital Discharge (Registro de Actividad de Atención Especializada-Conjunto Mínimo Básico de Datos, “RAE-CMBD”). The RAE-CMBD collects all the administrative data from hospitals (public and private) in the country [23].
The information collected in this database comes from hospital discharge reports made by the physicians in charge of the patient. This information and record of coded diagnoses are automatically collected by the computer software of each center or by technical-administrative staff.

Study population

The study population includes patients diagnosed with AP and admitted to the Spanish National Health System hospitals from 2016 to 2019. Since 2016, the RAE-CMDB has collected 20 diagnoses and 20 procedures from each patient based on the International Classification of Diseases Version 10 (ICD-10).
The inclusion criteria were: Patients with a primary or first registered secondary diagnosis of AP.
The exclusion criteria were: 1) Patients under 18 years of age, 2) Patients with a diagnosis primary or first registered secondary of pancreatic neoplasm, chronic pancreatitis, pancreatic cyst, pancreatic pseudocyst, extrahepatic bile duct neoplasm, and complications of the transplanted pancreas. We excluded the population under 18 years of age because the incidence of AP is lower in the pediatric population [24], and the etiologies distribution differs from that of adults [25].

Variables analyzed

The variables included are demographic variables such as age and sex, and AP etiology. We used the ICD-10 diagnostic code from each patient to identify the etiology of AP, which includes six categories: biliary, alcohol, idiopathic, drug-related, other, and unspecified. Our clinical-administrative database does not have data on diagnostic tests such as ultrasound or magnetic resonance imaging that allow the identification of the etiology in patients with a diagnosis of "unspecified pancreatitis. In addition, we did not have data after hospital discharge that could expand the information on the etiology. Other variables assessed were clinical variables on diagnoses and procedures.

Comorbidity assessment

Comorbidities were identified from the ICD-10 diagnosis codes of each patient. We have used the POA indicator (Present on registration) to identify comorbidities and differentiate them from diagnoses produced during hospital admission that could be secondary complications of AP. The ICD-10 codes used to identify specific comorbidities are described in the supplementary material (Additional file 1).

Calculation of comorbidities indexes

We assessed comorbidity by calculating the Charlson [26] and Elixhauser [27] comorbidity indices. These two indices are used in medical practice to predict mortality. ICD-10 diagnosis codes described by Quan et al. [28] were applied to identify specific comorbidities from the Charlson and Elixhauser indices.
The Charlson index assigns weights for 17 specific diseases, and its value was calculated by adding the weights of each condition as described by Charlson et al. [26]. The Elixhauser index assigns weights for 30 specific diseases, and its value was calculated using the algorithm described by Walraven et al. [29].

Outcomes

Outcomes analyzed included pancreatic necrosis length of hospital stay, admission to intensive care unit (ICU), length of ICU stay, and hospital mortality. Since 2018, the definition of pancreatic necrosis and pancreatic necrosis infection has been included in the ICD-10 diagnosis code for AP: AP without necrosis or infection (K85. × 0), AP with uninfected necrosis (K85. × 1) and AP with infected necrosis (K85. × 2). In addition, we did not have information on the percentage extension of pancreatic necrosis. Therefore, the data on pancreatic necrosis were only used for the descriptive analysis of the evolution of AP in the period analyzed.

Statistical analysis

We used the Kruskal–Wallis test for continuous variables and the Linear-by-Linear association test for categorical variables to analyze the characteristics and results of patients with AP during the years evaluated (2016–2019).
The analysis of risk factors for hospital mortality was performed by applying the chi-square test for categorical variables and the Student's t-test or the Mann–Whitney U test for continuous variables.
Univariate and multivariable analysis of the factors associated with hospital mortality was performed using logistic regression. We performed three multivariable analyses of significant variables in the univariate analysis. The first analysis included: age ≥ 65 years, sex, and specific comorbidities. In the second analysis, the Charlson comorbidity index replaced the specific comorbidities. The third analysis replaced specific comorbidities with the Elixhauser comorbidity index.
Receiver-operating characteristic (ROC) curves were drawn to analyze the in-hospital mortality prediction capacity of the Charlson and Elixhauser comorbidity indices, and the area under the curve (AUC) was described. A Delong test [30] was performed to compare the AUC. We used the Youden's index to identify the best cut-off point for the Charlson and Elixhauser comorbidity indices.
Statistical analyses were performed using IBM SPSS 20.0 (IBM Corp. in Armonk, NY) and Stata version 16 (Stata, College Station, Texas, USA). Statistical significance was set at p < 0.05.

Ethical aspects

Our study follows the principles of the Declaration of Helsinki for research on human beings. The data was extracted from the Spanish Ministry of Health register, which is anonymous following Spanish legislation. Identifying patients at the individual or reporting unit level with the data obtained is impossible.

Results

General population characteristics

Between January 1, 2016, and December 31, 2019, a total of 125,622 cases with the diagnosis of AP were identified. After applying inclusion and exclusion criteria, 110,021 patients were included (Fig. 1). The demographic and clinical characteristics of the population and its variations during the period are shown in Table 1. The mean age was 64.32 ± 17.94 years, with a slight progressive decrease throughout the years. The 53.3% of patients were 65 years or older. Male sex prevalence was 53.1%, which significantly increased during the study period (p = 0.043). The most frequent etiologies of AP were biliary (41.2%) and alcohol (7.9%). The Charlson and Elixhauser comorbidity indices values progressively increased in the last years of the study period (Table 1).
Table 1
Characteristics of patients hospitalized with a diagnosis of acute pancreatitis
 
Total (N: 110,021)
2016 (N: 26,952)
2017 (N: 22,170)
2018 (N: 29,785)
2019 (N: 31,114)
p value
Age, years
 Mean ± SD
64.32 ± 17.94
64.54 ± 17.99
64.34 ± 17.82
64.33 ± 17.97
64.11 ± 17.96
0.017
 Age ≥ 65 years, N (%)
58,612 (53.3)
14,679 (54.5)
11,806 (53.3)
15,832 (53.2)
16,295 (52.4)
< 0.001
Sex, N (%)
 Male
58,457 (53.1)
14,178 (52.6)
11,765 (53.1)
15,899 (53.4)
16,615 (53.4)
0.043
 Female
51,564 (46.9)
12,774 (47.4)
10,405 (46.9)
13,886 (46.6)
14,499 (46.6)
0.043
Charlson Index
 Mean ± SD
0.95 ± 1.47
0.88 ± 1.41
0.91 ± 1.43
0.97 ± 1.5
1.02 ± 1.53
< 0.001
Elixhauser Index
 Mean ± SD
3.43 ± 5.87
3.24 ± 5.71
3.2 ± 5.66
3.49 ± 5.93
3.72 ± 6.08
< 0.001
Pancreatitis etiology, N (%)
 Biliary
45,281 (41.2)
9,909 (36.8)
8,263 (37.3)
13,354 (44.9)
13,755 (44.2)
< 0.001
 Alcohol
8,658 (7.9)
1,708 (6.3)
1,477 (6.7)
2,625 (8.8)
2,848 (9.2)
< 0.001
 Medications
1,086 (1)
197 (0.7)
177 (0.8)
332 (1.1)
380 (1.2)
< 0.001
 Idiopathic
2,456 (2.2)
380 (1.4)
366 (1.7)
821 (2.8)
889 (2.9)
< 0.001
 Other
4,029 (3.7)
947 (3.5)
909 (4.1)
1,038 (3.5)
1,135 (3.6)
0.761
 Not specified
48,511 (44.1)
13,811 (51.2)
10,978 (49.5)
11,615 (39)
12,107 (38.9)
< 0.001
 Pancreatic necrosis, N (%)
-
NR
NR
2,523 (8.5)
2,873 (9.2)
 
 Infected necrosis, N (%)
-
NR
NR
918 (3.1)
1,069 (3.4)
 
 ICU admission, N (%)
5,155 (4.7)
1,187 (4.4)
1,093 (4.9)
1,445 (4.9)
1,430 (4.6)
0.383
 ICU stay (days)
      
 Mean ± SD
13.05 ± 22.27
13.15 ± 22.05
12.65 ± 22.06
13.35 ± 21.57
13.97 ± 23.31
0.181
Hospital stay (days)
 Mean ± SD
9.38 ± 12.22
9.73 ± 12.11
9.43 ± 12.02
9.35 ± 12.35
9.08 ± 12.29
< 0.001
 Mortality, N (%)
4,153 (3.8)
1,095 (4.1)
884 (4)
1,097 (3.7)
1,077 (3.5)
< 0.001
SD Standard deviation, NR Not reported, ICU Intensive care unit

General outcomes

The proportion of patients who required ICU admission was 4.7%, with no differences in its prevalence by year studied. The mean length of hospital stay was 9.38 ± 12.22 days, showing a significant decrease over the period. Pancreatic necrosis was reported in 8.5% in 2018 and 9.2% in 2019 (Table 1).

Mortality

Mortality was 3.8% in all the population and significantly decreased over time, from 4.1% in 2016 to 3.5% in 2019 (p < 0.001) (Table 1).

Impact of Age, sex, and etiology

Age and male sex were higher in the non-survivors compared to the group of survivors (78.02 ± 13.24 vs. 63.78 ± 17.89, p =  < 0.001 and 51.1% vs. 53.2%, p = 0.007, respectively). The prevalence of pancreatitis of biliary, alcoholic, and drug-related etiology was lower in the group of non-survivors (p < 0.001) (Table 2).
Table 2
Demographic characteristics of acute pancreatitis according to survivor and non-survivors
 
Total
Survivors
Non-survivors
p value
Age, mean ± SD
64.32 ± 17.94
63.78 ± 17.89
78.02 ± 13.24
< 0.001
Sex, N (%)
 Male
58,457 (53.1)
56,335 (53.2)
2,122 (51.1)
0.007
 Female
51,564 (46.9)
49,533 (46.8)
2,031 (48.9)
0.007
Comorbidities, N (%)
 Arterial hypertension
51,532 (46.8)
49,011 (46.3)
2,521 (60.7)
< 0.001
 Heart disease
18,696 (17)
17,202 (16.2)
1,494 (35.9)
< 0.001
 Chronic pulmonary disease
9,234 (8.4)
8,739 (8.3)
495 (11.9)
< 0.001
 Renal disease
8,193 (7.4)
7,399 (7)
794 (19.1)
< 0.001
 Moderate or severe liver disease
1,498 (1.4)
1,375 (1.3)
123 (3)
< 0.001
 Diabetes mellitus
20,259 (18.4)
19,315 (18.2)
944 (22.7)
< 0.001
 Obesity
9,681 (8.8)
9,327 (8.8)
354 (8.5)
0.523
 Peripheral vascular disease
3,361 (3.1)
3,091 (2.9)
270 (6.5)
< 0.001
 Cerebrovascular disease
2,220 (2)
2,023 (1.9)
197 (4.7)
< 0.001
 Rheumatic disease
1,335 (1.2)
1,261 (1.2)
74 (1.8)
0.001
 Charlson Index, mean ± SD
0.95 ± 1.47
0.92 ± 1.43
1.76 ± 2.1
< 0.001
 Elixhauser Index, mean ± SD
3.43 ± 5.87
3.29 ± 5.75
7.15 ± 7.38
< 0.001
Pancreatitis etiology, N (%)
 Biliary
45,281 (41.2)
44,041 (41.6)
1,240 (29.9)
< 0.001
 Alcohol
8,658 (7.9)
8,533 (8.1)
125 (3)
< 0.001
 Medications
1,086 (1)
1,070 (1)
16 (0.4)
< 0.001
 Idiopathic
2,456 (2.2)
2,333 (2.2)
123 (3)
0.001
 Other
4,029 (3.7)
3,768 (3.6)
261 (6.3)
< 0.001
 Not specified
48,511 (44.1)
46,123 (43.6)
2,388 (57.5)
< 0.001
 ICU admission, N (%)
5,155 (4.7)
3,684 (3.5)
1,471 (35.4)
< 0.001
SD Standard deviation, ICU Intensive care unit

Impact of comorbidities and indexes

Non-survivor patients presented a higher percentage in all comorbidities except for obesity (Table 2).
Median values of Charlson and Elixhauser indexes were significantly higher in the group of non-survivors compared with survivors (1.76 ± 2.1 vs. 0.92 ± 1.43, p < 0.001 and 7.15 ± 7.4 vs. 3.29 ± 5.8, p < 0.001 respectively) (Table 2). The analysis of the comorbidities included in the Charlson and Elixhauser indices according to hospital mortality is described in the supplementary material (Additional file 1).

Multivariable analysis

Logistic regression analysis was performed using the best cut-off point obtained by Youden's index (J = 1.5 points for both Charlson and Elixhauser indices). After multivariable logistic regression analysis, we found that factors independently associated with mortality were age 65 years or older (OR 4.11, 95% CI 3.75–4.5), heart disease (OR 1.73, 95% CI 1.62–1.86), renal disease (OR 1.99, 95% CI 1.74–2.07), moderate-severe liver disease (OR 2.86, 95% CI 2.35–3.47), peripheral vascular disease (OR 1.43, 95% CI 1.25–1.64), and cerebrovascular disease (OR 1.63, 95% CI 1.4–1.9). Arterial hypertension has been found to be a protective factor in the population. The Charlson Index > 1.5 points (OR 2.03, 95% CI 1.9–2.16) and Elixhauser Index > 1.5 points (OR 2.71, 95% CI 2.53–2.9) were independently associated with mortality (Table 3).
Table 3
Multivariable analysis showing association of proposed risk factors with hospital mortality in acute pancreatitis
 
Multivariable analysis
OR (95% CI)
p value
Variables of analysis 1
 Age ≥ 65 years
4.11 (3.75–4.5)
< 0.001
 Sex Female
0.96 (0.9–1.03)
0.236
 Arterial hypertension
0.89 (0.84–0.96)
0.003
 Heart disease
1.73 (1.62–1.86)
< 0.001
 Chronic pulmonary disease
1.09 (0.99–1.21)
0.085
 Renal disease
1.99 (1.74–2.07)
< 0.001
 Moderate or severe liver disease
2.86 (2.35–3.47)
< 0.001
 Diabetes mellitus
0.94 (0.87–1.01)
0.09
 Peripheral vascular disease
1.43 (1.25–1.64)
< 0.001
 Cerebrovascular disease
1.63 (1.4–1.9)
< 0.001
 Rheumatic disease
1.13 (0.89–1.44)
0.317
Variables of analysis 2
 Age ≥ 65 years
4.41 (4.04–4.8)
< 0.001
 Sex Female
0.96 (0.9–1.03)
0.962
 Charlson Index ≥ 1.5
2.03 (1.9–2.16)
< 0.001
Variables of analysis 3
 Age ≥ 65 years
4.23 (3.88–4.61)
< 0.001
 Sex Female
0.98 (0.92–1.05)
0.581
 Elixhauser Index ≥ 1.5
2.71 (2.53–2.9)
< 0.001
OR Odds ratio, CI Confidence interval

AUC analysis

The Elixhauser comorbidity index exhibited a slightly higher AUC value in predicting hospital mortality (AUC: 0.666, 95% CI 0.657 – 0.674) than the Charlson comorbidity index (AUC: 0.633, 95% CI 0.623 – 0.641). When performing the Delong test to compare these AUC, it was observed that this difference is significant (p < 0.001). The ROC curves and AUC for the Charlson and Elixhauser comorbidity indices to predict hospital mortality are shown in Fig. 2.

Discussion

Our study found that pre-admission comorbidities such as heart disease, kidney disease, moderate-severe liver disease, peripheral vascular disease, cerebrovascular disease, and age ≥ 65 years were independently associated with mortality in AP. Charlson and Elixhauser comorbidity indices were independently associated with mortality.
Advanced age has been extensively studied as a marker of severity and mortality in AP. Most studies report longer hospitalization [31, 32] and higher overall mortality from AP in elderly patients [3336]. However, other studies have observed that older patients may have a more severe course of AP but do not present increased mortality [37]. Likely explanations explaining advanced age as a risk factor for mortality include a proinflammatory state in older people [38] and increased production of cytokines in elderly patients with sepsis [39]. Other reasons would be delayed diagnosis and treatment due to less clinical and analytical expression [40, 41].
The increase in life expectancy and the aging of the population have been associated with the increase in patients with comorbidities [42, 43], so determining its impact on AP becomes more necessary. The importance of comorbidities in predicting outcomes in other diseases that require acute hospital admission is well known [4446]. However, few studies analyze the impact of comorbidities on severity and mortality in AP patients [47, 48]. Additionally, few studies have incorporated comorbidities in their clinical models when evaluating determinants of AP severity. Our study is one of the first studies in the literature that put in relevance the role of comorbidities in AP.
In the last period of our study, we observed an increase in comorbidities and the values of the Charlson and Elixhauser comorbidity indices. These trends could be explained by the increase in life expectancy and the prevalence of chronic diseases in the European population in the last decades [49, 50]. However, despite the increase in comorbidities, hospital mortality has decreased in the period studied. The decrease in mortality is likely due to the advances in critical care medicine, step-up approach to treat infected necrosis, and surgical and endoscopic new approaches [3, 51].
Few studies had previously assessed comorbidity indexes' role in predicting mortality in patients with AP. Previous studies have observed that more comorbidities are associated with organ failure and mortality in patients with AP [47, 52]. In our study, we analyzed the Charlson and Elixhauser indices which are good predictors of mortality in other diseases [53, 54]. Our results showed that values > 1.5 points for both indices are independently associated with hospital mortality in AP after adjusting for age and sex. Future studies that expand knowledge of the effects of comorbidities on complications and mortality in patients with AP will improve the identification of patients at risk and their quality of care.
Regarding other comorbidities, our results align with previous studies stating that pre-existing heart and renal diseases predict mortality in patients with AP [19, 47, 55]. One hypothesis is that intravascular depletion and aggressive fluid resuscitation cause decompensation of previous heart and renal disease [55].
Similarly, to Frey et al. [47], we found an association between liver disease, peripheral vascular disease, and cerebrovascular disease with mortality. However, Murata et al. found no association between these diseases with mortality [55]. The worse results of AP in patients with liver diseases such as cirrhosis could be explained because they present an inflammatory syndrome with arterial vasodilation and release of proinflammatory cytokines that increase the severity of AP [56]. In addition, acute pancreatitis produces significant stress that could decompensate underlying chronic comorbidities and increase the risk of death.
Other major comorbidities before admission, such as chronic lung disease, were not independently associated with mortality, coinciding with the results of Murata et al. [55]. Similar controversial results were found regarding obesity, in which previous studies have observed that obesity is a risk factor for developing local and systemic complications and mortality in patients with AP [17, 5759]. We did not find an association between hospital mortality and obesity, but this result has to be taken carefully due to the potential information bias because our results are based on the history of obesity recorded in the medical-administrative database and not on the BMI at hospital admission. In the same line, we did not find a relation between diabetes mellitus and mortality after the multivariable analysis. The literature remains controversial, with reports describing diabetes mellitus as a risk factor for mortality [20, 21]. However, Frey et al. found that diabetes increased the risk of multiple organ failure but was not associated with mortality [47].
Other risk factors classically related to mortality in AP patients failed to represent a risk factor in our population. This was relevant to the role of AP etiology, in which the literature reports controversial results, identifying a more severe course and higher mortality in alcoholic pancreatitis [58, 59]. In contrast, others observed greater severity in biliary pancreatitis [60, 61] or no relation with mortality between both aetiologies [37, 6264]. Our study did not observe that acute pancreatitis's biliary or alcoholic etiology was associated with higher hospital mortality. However, in our study, 44.3% of the patients were classified as "unspecified acute pancreatitis,” limiting the precision of our results and constituting a bias regarding the real impact of etiology in AP mortality. In addition, our database does not include other etiologies of acute pancreatitis such as those caused by hypercalcemia, after trauma, viral infections, anatomical variants, iatrogenic after endoscopic retrograde cholangiopancreatography or endoscopic ultrasound-guided interventions [6567].
Our study is subject to some limitations. The data analysis from a clinical-administrative base has low level of granularity and does not include some clinical results of interest, such as severity or the evolution of the patient in the medium or long term after their hospital stay. Our study could not identify pancreatic necrosis in the first two years because it began to be considered in the ICD-10 in 2018. Another limitation is the potential underreporting of information because the hospital discharge report may be incomplete or poorly registered by the technical-administrative staff. In our study, we could not identify the etiology of AP in many patients due to a lack of precise coding.
No studies have been published to validate the use of ICD-10 codes for identifying patients with AP using the RAE-CMBD database. However, there are recent studies from Danish [68] and US [69] databases with PPV of 97.3% and 87%, respectively. A recent meta-analysis recommends using ICD codes only in incident cases of AP in adults, where it reaches a PPV of 78% [70]. However, this may be because the studies analyzed used ICD-8, ICD-9, and ICD-10 codes, and the PPV is higher when using the ICD-10 because it is more specific and includes the etiology of pancreatitis [70, 71]. In addition, the studies were carried out in different hospitals in several countries, contributing to the heterogeneity.
We used the primary and the first registered secondary diagnoses to reduce the bias of not including patients with an initial diagnosis of cholelithiasis/choledocholithiasis and AP. A recent study validating ICD codes using primary and secondary diagnoses observed a PPV of 97.3% for AP [68].
The main strength of our study is its large sample size which provides strong statistical power. The RAE-CMBD database is a mandatory registry for the Spanish National Health System, which covers almost 100% of admissions in Spain, reinforcing the external validity of our results. In addition, the database has several internal audit mechanisms and has proven its usefulness for health research [53, 72, 73].

Conclusions

Comorbidities such as heart disease, kidney disease, moderate-severe liver disease, peripheral vascular disease, cerebrovascular disease, and advanced age were independently associated with mortality in AP. The Charlson and Elixhauser comorbidity indices are useful for predicting hospital mortality in these patients.

Acknowledgements

This publication has been made as part of the Doctoral Program in Surgery and Morphologic Sciences of the Universitat Autònoma de Barcelona, Spain. Departments of Surgery and Morphological Science at the Universitat Autònoma.

Declarations

Our study follows the principles of the Declaration of Helsinki for research on human beings. The data was extracted from the Spanish Ministry of Health record, which is anonymous. Identifying the patients at the individual or reporting unit level is impossible as this database is subject to the Civil Service Statistics Law 12/1989. Obtaining informed consent or approval from an ethics committee was not necessary.
Not applicable; this manuscript does not contain individual personal data.

Competing interests

The authors declare that they have no competing interests.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Peery AF, Crockett SD, Murphy CC, Lund JL, Dellon ES, Williams JL, et al. Burden and cost of gastrointestinal, liver, and pancreatic diseases in the United States: Update 2018. Gastroenterology. 2019;156:254-272.e11.PubMedCrossRef Peery AF, Crockett SD, Murphy CC, Lund JL, Dellon ES, Williams JL, et al. Burden and cost of gastrointestinal, liver, and pancreatic diseases in the United States: Update 2018. Gastroenterology. 2019;156:254-272.e11.PubMedCrossRef
2.
3.
Zurück zum Zitat Banks PA, Bollen TL, Dervenis C, Gooszen HG, Johnson CD, Sarr MG, et al. Classification of acute pancreatitis–2012: revision of the Atlanta classification and definitions by international consensus. Gut. 2013;62:102–11.PubMedCrossRef Banks PA, Bollen TL, Dervenis C, Gooszen HG, Johnson CD, Sarr MG, et al. Classification of acute pancreatitis–2012: revision of the Atlanta classification and definitions by international consensus. Gut. 2013;62:102–11.PubMedCrossRef
4.
Zurück zum Zitat Yadav D, Lowenfels AB. Trends in the epidemiology of the first attack of acute pancreatitis: a systematic review. Pancreas. 2006;33:323–30.PubMedCrossRef Yadav D, Lowenfels AB. Trends in the epidemiology of the first attack of acute pancreatitis: a systematic review. Pancreas. 2006;33:323–30.PubMedCrossRef
5.
Zurück zum Zitat Shen H-N, Lu C-L, Li C-Y. Epidemiology of first-attack acute pancreatitis in Taiwan from 2000 through 2009: a nationwide population-based study. Pancreas. 2012;41:696–702.PubMedCrossRef Shen H-N, Lu C-L, Li C-Y. Epidemiology of first-attack acute pancreatitis in Taiwan from 2000 through 2009: a nationwide population-based study. Pancreas. 2012;41:696–702.PubMedCrossRef
6.
Zurück zum Zitat van Dijk SM, Hallensleben NDL, van Santvoort HC, Fockens P, van Goor H, Bruno MJ, et al. Acute pancreatitis: recent advances through randomised trials. Gut. 2017;66:2024–32.PubMedCrossRef van Dijk SM, Hallensleben NDL, van Santvoort HC, Fockens P, van Goor H, Bruno MJ, et al. Acute pancreatitis: recent advances through randomised trials. Gut. 2017;66:2024–32.PubMedCrossRef
7.
Zurück zum Zitat Petrov MS, Shanbhag S, Chakraborty M, Phillips ARJ, Windsor JA. Organ failure and infection of pancreatic necrosis as determinants of mortality in patients with acute pancreatitis. Gastroenterology. 2010;139:813–20.PubMedCrossRef Petrov MS, Shanbhag S, Chakraborty M, Phillips ARJ, Windsor JA. Organ failure and infection of pancreatic necrosis as determinants of mortality in patients with acute pancreatitis. Gastroenterology. 2010;139:813–20.PubMedCrossRef
8.
Zurück zum Zitat Papachristou GI, Muddana V, Yadav D, O’Connell M, Sanders MK, Slivka A, et al. Comparison of BISAP, Ranson’s, APACHE-II, and CTSI scores in predicting organ failure, complications, and mortality in acute pancreatitis. Am J Gastroenterol. 2010;105:435–41 (quiz 442).PubMedCrossRef Papachristou GI, Muddana V, Yadav D, O’Connell M, Sanders MK, Slivka A, et al. Comparison of BISAP, Ranson’s, APACHE-II, and CTSI scores in predicting organ failure, complications, and mortality in acute pancreatitis. Am J Gastroenterol. 2010;105:435–41 (quiz 442).PubMedCrossRef
9.
Zurück zum Zitat Gravante G, Garcea G, Ong SL, Metcalfe MS, Berry DP, Lloyd DM, et al. Prediction of mortality in acute pancreatitis: a systematic review of the published evidence. Pancreatology. 2009;9:601–14.PubMedCrossRef Gravante G, Garcea G, Ong SL, Metcalfe MS, Berry DP, Lloyd DM, et al. Prediction of mortality in acute pancreatitis: a systematic review of the published evidence. Pancreatology. 2009;9:601–14.PubMedCrossRef
10.
Zurück zum Zitat Pando E, Alberti P, Hidalgo J, Vidal L, Dopazo C, Caralt M, et al. The role of extra-pancreatic infections in the prediction of severity and local complications in acute pancreatitis. Pancreatology. 2018;18:486–93.PubMedCrossRef Pando E, Alberti P, Hidalgo J, Vidal L, Dopazo C, Caralt M, et al. The role of extra-pancreatic infections in the prediction of severity and local complications in acute pancreatitis. Pancreatology. 2018;18:486–93.PubMedCrossRef
11.
Zurück zum Zitat Alberti P, Pando E, Mata R, Vidal L, Roson N, Mast R, et al. Evaluation of the modified computed tomography severity index (MCTSI) and computed tomography severity index (CTSI) in predicting severity and clinical outcomes in acute pancreatitis. J Dig Dis. 2021;22:41–8.PubMedCrossRef Alberti P, Pando E, Mata R, Vidal L, Roson N, Mast R, et al. Evaluation of the modified computed tomography severity index (MCTSI) and computed tomography severity index (CTSI) in predicting severity and clinical outcomes in acute pancreatitis. J Dig Dis. 2021;22:41–8.PubMedCrossRef
12.
Zurück zum Zitat Balthazar EJ, Robinson DL, Megibow AJ, Ranson JH. Acute pancreatitis: value of CT in establishing prognosis. Radiology. 1990;174:331–6.PubMedCrossRef Balthazar EJ, Robinson DL, Megibow AJ, Ranson JH. Acute pancreatitis: value of CT in establishing prognosis. Radiology. 1990;174:331–6.PubMedCrossRef
13.
Zurück zum Zitat Larvin M, McMahon MJ. APACHE-II score for assessment and monitoring of acute pancreatitis. Lancet. 1989;2:201–5.PubMedCrossRef Larvin M, McMahon MJ. APACHE-II score for assessment and monitoring of acute pancreatitis. Lancet. 1989;2:201–5.PubMedCrossRef
14.
Zurück zum Zitat Ranson JH, Rifkind KM, Roses DF, Fink SD, Eng K, Localio SA. Objective early identification of severe acute pancreatitis. Am J Gastroenterol. 1974;61:443–51.PubMed Ranson JH, Rifkind KM, Roses DF, Fink SD, Eng K, Localio SA. Objective early identification of severe acute pancreatitis. Am J Gastroenterol. 1974;61:443–51.PubMed
15.
Zurück zum Zitat Wu BU, Johannes RS, Sun X, Tabak Y, Conwell DL, Banks PA. The early prediction of mortality in acute pancreatitis: a large population-based study. Gut. 2008;57:1698–703.PubMedCrossRef Wu BU, Johannes RS, Sun X, Tabak Y, Conwell DL, Banks PA. The early prediction of mortality in acute pancreatitis: a large population-based study. Gut. 2008;57:1698–703.PubMedCrossRef
16.
Zurück zum Zitat Pando E, Alberti P, Mata R, Gomez MJ, Vidal L, Cirera A, et al. Early changes in Blood Urea Nitrogen (BUN) can predict mortality in acute pancreatitis: comparative study between BISAP score, APACHE-II, and other laboratory markers-a prospective observational study. Can J Gastroenterol Hepatol. 2021;2021:6643595.PubMedPubMedCentralCrossRef Pando E, Alberti P, Mata R, Gomez MJ, Vidal L, Cirera A, et al. Early changes in Blood Urea Nitrogen (BUN) can predict mortality in acute pancreatitis: comparative study between BISAP score, APACHE-II, and other laboratory markers-a prospective observational study. Can J Gastroenterol Hepatol. 2021;2021:6643595.PubMedPubMedCentralCrossRef
17.
Zurück zum Zitat Martínez J, Johnson CD, Sánchez-Payá J, de Madaria E, Robles-Díaz G, Pérez-Mateo M. Obesity is a definitive risk factor of severity and mortality in acute pancreatitis: an updated meta-analysis. Pancreatology. 2006;6:206–9.PubMedCrossRef Martínez J, Johnson CD, Sánchez-Payá J, de Madaria E, Robles-Díaz G, Pérez-Mateo M. Obesity is a definitive risk factor of severity and mortality in acute pancreatitis: an updated meta-analysis. Pancreatology. 2006;6:206–9.PubMedCrossRef
18.
Zurück zum Zitat Lloret Linares C, Pelletier AL, Czernichow S, Vergnaud AC, Bonnefont-Rousselot D, Levy P, et al. Acute pancreatitis in a cohort of 129 patients referred for severe hypertriglyceridemia. Pancreas. 2008;37:13–22.PubMedCrossRef Lloret Linares C, Pelletier AL, Czernichow S, Vergnaud AC, Bonnefont-Rousselot D, Levy P, et al. Acute pancreatitis in a cohort of 129 patients referred for severe hypertriglyceridemia. Pancreas. 2008;37:13–22.PubMedCrossRef
19.
Zurück zum Zitat Lankisch PG, Weber-Dany B, Maisonneuve P, Lowenfels AB. Frequency and severity of acute pancreatitis in chronic dialysis patients. Nephrol Dial Transplant. 2008;23:1401–5.PubMedCrossRef Lankisch PG, Weber-Dany B, Maisonneuve P, Lowenfels AB. Frequency and severity of acute pancreatitis in chronic dialysis patients. Nephrol Dial Transplant. 2008;23:1401–5.PubMedCrossRef
20.
Zurück zum Zitat Huh JH, Jeon H, Park SM, Choi E, Lee GS, Kim JW, et al. Diabetes mellitus is associated with mortality in acute pancreatitis. J Clin Gastroenterol. 2018;52:178–83.PubMedCrossRef Huh JH, Jeon H, Park SM, Choi E, Lee GS, Kim JW, et al. Diabetes mellitus is associated with mortality in acute pancreatitis. J Clin Gastroenterol. 2018;52:178–83.PubMedCrossRef
21.
Zurück zum Zitat Mikó A, Farkas N, Garami A, Szabó I, Vincze Á, Veres G, et al. Preexisting diabetes elevates risk of local and systemic complications in acute pancreatitis: systematic review and meta-analysis. Pancreas. 2018;47:917–23.PubMedPubMedCentralCrossRef Mikó A, Farkas N, Garami A, Szabó I, Vincze Á, Veres G, et al. Preexisting diabetes elevates risk of local and systemic complications in acute pancreatitis: systematic review and meta-analysis. Pancreas. 2018;47:917–23.PubMedPubMedCentralCrossRef
22.
Zurück zum Zitat Pascual-Ramos V, Duarte-Rojo A, Villa AR, Hernández-Cruz B, Alarcón-Segovia D, Alcocer-Varela J, et al. Systemic lupus erythematosus as a cause and prognostic factor of acute pancreatitis. J Rheumatol. 2004;31:707–12.PubMed Pascual-Ramos V, Duarte-Rojo A, Villa AR, Hernández-Cruz B, Alarcón-Segovia D, Alcocer-Varela J, et al. Systemic lupus erythematosus as a cause and prognostic factor of acute pancreatitis. J Rheumatol. 2004;31:707–12.PubMed
24.
Zurück zum Zitat Majbar AA, Cusick E, Johnson P, Lynn RM, Hunt LP, Shield JPH. Incidence and Clinical Associations of Childhood Acute Pancreatitis. Pediatrics. 2016;138:1198. Majbar AA, Cusick E, Johnson P, Lynn RM, Hunt LP, Shield JPH. Incidence and Clinical Associations of Childhood Acute Pancreatitis. Pediatrics. 2016;138:1198.
25.
Zurück zum Zitat Sakorafas GH, Tsiotou AG. Etiology and pathogenesis of acute pancreatitis: current concepts. J Clin Gastroenterol. 2000;30:343–56.PubMedCrossRef Sakorafas GH, Tsiotou AG. Etiology and pathogenesis of acute pancreatitis: current concepts. J Clin Gastroenterol. 2000;30:343–56.PubMedCrossRef
26.
Zurück zum Zitat Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–83.PubMedCrossRef Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–83.PubMedCrossRef
27.
Zurück zum Zitat Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998;36:8–27.PubMedCrossRef Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998;36:8–27.PubMedCrossRef
28.
Zurück zum Zitat Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi J-C, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43:1130–9.PubMedCrossRef Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi J-C, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43:1130–9.PubMedCrossRef
29.
Zurück zum Zitat van Walraven C, Austin PC, Jennings A, Quan H, Forster AJ. A modification of the Elixhauser comorbidity measures into a point system for hospital death using administrative data. Med Care. 2009;47:626–33.PubMedCrossRef van Walraven C, Austin PC, Jennings A, Quan H, Forster AJ. A modification of the Elixhauser comorbidity measures into a point system for hospital death using administrative data. Med Care. 2009;47:626–33.PubMedCrossRef
30.
Zurück zum Zitat DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837–45.PubMedCrossRef DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837–45.PubMedCrossRef
31.
Zurück zum Zitat Murata A, Matsuda S, Mayumi T, Yokoe M, Kuwabara K, Ichimiya Y, et al. Effect of hospital volume on clinical outcome in patients with acute pancreatitis, based on a national administrative database. Pancreas. 2011;40:1018–23.PubMedCrossRef Murata A, Matsuda S, Mayumi T, Yokoe M, Kuwabara K, Ichimiya Y, et al. Effect of hospital volume on clinical outcome in patients with acute pancreatitis, based on a national administrative database. Pancreas. 2011;40:1018–23.PubMedCrossRef
32.
Zurück zum Zitat McNabb-Baltar J, Ravi P, Isabwe GA, Suleiman SL, Yaghoobi M, Trinh Q-D, et al. A population-based assessment of the burden of acute pancreatitis in the United States. Pancreas. 2014;43:687–91.PubMedCrossRef McNabb-Baltar J, Ravi P, Isabwe GA, Suleiman SL, Yaghoobi M, Trinh Q-D, et al. A population-based assessment of the burden of acute pancreatitis in the United States. Pancreas. 2014;43:687–91.PubMedCrossRef
33.
Zurück zum Zitat Tonsi AF, Bacchion M, Crippa S, Malleo G, Bassi C. Acute pancreatitis at the beginning of the 21st century: the state of the art. World J Gastroenterol. 2009;15:2945–59.PubMedPubMedCentralCrossRef Tonsi AF, Bacchion M, Crippa S, Malleo G, Bassi C. Acute pancreatitis at the beginning of the 21st century: the state of the art. World J Gastroenterol. 2009;15:2945–59.PubMedPubMedCentralCrossRef
34.
Zurück zum Zitat Gardner TB, Vege SS, Chari ST, Pearson RK, Clain JE, Topazian MD, et al. The effect of age on hospital outcomes in severe acute pancreatitis. Pancreatology. 2008;8:265–70.PubMedCrossRef Gardner TB, Vege SS, Chari ST, Pearson RK, Clain JE, Topazian MD, et al. The effect of age on hospital outcomes in severe acute pancreatitis. Pancreatology. 2008;8:265–70.PubMedCrossRef
35.
Zurück zum Zitat Xin M-J, Chen H, Luo B, Sun J-B. Severe acute pancreatitis in the elderly: etiology and clinical characteristics. World J Gastroenterol. 2008;14:2517–21.PubMedPubMedCentralCrossRef Xin M-J, Chen H, Luo B, Sun J-B. Severe acute pancreatitis in the elderly: etiology and clinical characteristics. World J Gastroenterol. 2008;14:2517–21.PubMedPubMedCentralCrossRef
36.
Zurück zum Zitat Malik AM. Biliary pancreatitis. Deadly threat to the elderly. Is it a real threat? Int J Health Sci. 2015;9:35–9. Malik AM. Biliary pancreatitis. Deadly threat to the elderly. Is it a real threat? Int J Health Sci. 2015;9:35–9.
37.
Zurück zum Zitat Gullo L, Migliori M, Oláh A, Farkas G, Levy P, Arvanitakis C, et al. Acute pancreatitis in five European countries: etiology and mortality. Pancreas. 2002;24:223–7.PubMedCrossRef Gullo L, Migliori M, Oláh A, Farkas G, Levy P, Arvanitakis C, et al. Acute pancreatitis in five European countries: etiology and mortality. Pancreas. 2002;24:223–7.PubMedCrossRef
38.
Zurück zum Zitat Starr ME, Ueda J, Yamamoto S, Evers BM, Saito H. The effects of aging on pulmonary oxidative damage, protein nitration, and extracellular superoxide dismutase down-regulation during systemic inflammation. Free Radic Biol Med. 2011;50:371–80.PubMedCrossRef Starr ME, Ueda J, Yamamoto S, Evers BM, Saito H. The effects of aging on pulmonary oxidative damage, protein nitration, and extracellular superoxide dismutase down-regulation during systemic inflammation. Free Radic Biol Med. 2011;50:371–80.PubMedCrossRef
39.
Zurück zum Zitat Turnbull IR, Clark AT, Stromberg PE, Dixon DJ, Woolsey CA, Davis CG, et al. Effects of aging on the immunopathologic response to sepsis. Crit Care Med. 2009;37:1018–23.PubMedPubMedCentralCrossRef Turnbull IR, Clark AT, Stromberg PE, Dixon DJ, Woolsey CA, Davis CG, et al. Effects of aging on the immunopathologic response to sepsis. Crit Care Med. 2009;37:1018–23.PubMedPubMedCentralCrossRef
40.
Zurück zum Zitat Lyon C, Clark DC. Diagnosis of acute abdominal pain in older patients. Am Fam Physician. 2006;74:1537–44.PubMed Lyon C, Clark DC. Diagnosis of acute abdominal pain in older patients. Am Fam Physician. 2006;74:1537–44.PubMed
41.
Zurück zum Zitat Potts FE, Vukov LF. Utility of fever and leukocytosis in acute surgical abdomens in octogenarians and beyond. J Gerontol A Biol Sci Med Sci. 1999;54:M55–8.PubMedCrossRef Potts FE, Vukov LF. Utility of fever and leukocytosis in acute surgical abdomens in octogenarians and beyond. J Gerontol A Biol Sci Med Sci. 1999;54:M55–8.PubMedCrossRef
42.
Zurück zum Zitat Wolff JL, Starfield B, Anderson G. Prevalence, expenditures, and complications of multiple chronic conditions in the elderly. Arch Intern Med. 2002;162:2269–76.PubMedCrossRef Wolff JL, Starfield B, Anderson G. Prevalence, expenditures, and complications of multiple chronic conditions in the elderly. Arch Intern Med. 2002;162:2269–76.PubMedCrossRef
43.
Zurück zum Zitat Starfield B, Lemke KW, Bernhardt T, Foldes SS, Forrest CB, Weiner JP. Comorbidity: implications for the importance of primary care in “case” management. Ann Fam Med. 2003;1:8–14.PubMedPubMedCentralCrossRef Starfield B, Lemke KW, Bernhardt T, Foldes SS, Forrest CB, Weiner JP. Comorbidity: implications for the importance of primary care in “case” management. Ann Fam Med. 2003;1:8–14.PubMedPubMedCentralCrossRef
44.
Zurück zum Zitat Mnatzaganian G, Ryan P, Norman PE, Hiller JE. Accuracy of hospital morbidity data and the performance of comorbidity scores as predictors of mortality. J Clin Epidemiol. 2012;65:107–15.PubMedCrossRef Mnatzaganian G, Ryan P, Norman PE, Hiller JE. Accuracy of hospital morbidity data and the performance of comorbidity scores as predictors of mortality. J Clin Epidemiol. 2012;65:107–15.PubMedCrossRef
45.
Zurück zum Zitat Ho T-W, Tsai Y-J, Ruan S-Y, Huang C-T, Lai F, Yu C-J, et al. In-hospital and one-year mortality and their predictors in patients hospitalized for first-ever chronic obstructive pulmonary disease exacerbations: a nationwide population-based study. PLoS ONE. 2014;9:e114866.PubMedPubMedCentralCrossRef Ho T-W, Tsai Y-J, Ruan S-Y, Huang C-T, Lai F, Yu C-J, et al. In-hospital and one-year mortality and their predictors in patients hospitalized for first-ever chronic obstructive pulmonary disease exacerbations: a nationwide population-based study. PLoS ONE. 2014;9:e114866.PubMedPubMedCentralCrossRef
46.
Zurück zum Zitat Pocock SJ, Wang D, Pfeffer MA, Yusuf S, McMurray JJV, Swedberg KB, et al. Predictors of mortality and morbidity in patients with chronic heart failure. Eur Heart J. 2006;27:65–75.PubMedCrossRef Pocock SJ, Wang D, Pfeffer MA, Yusuf S, McMurray JJV, Swedberg KB, et al. Predictors of mortality and morbidity in patients with chronic heart failure. Eur Heart J. 2006;27:65–75.PubMedCrossRef
47.
Zurück zum Zitat Frey C, Zhou H, Harvey D, White RH. Co-morbidity is a strong predictor of early death and multi-organ system failure among patients with acute pancreatitis. J Gastrointest Surg. 2007;11:733–42.PubMedCrossRef Frey C, Zhou H, Harvey D, White RH. Co-morbidity is a strong predictor of early death and multi-organ system failure among patients with acute pancreatitis. J Gastrointest Surg. 2007;11:733–42.PubMedCrossRef
48.
Zurück zum Zitat Akshintala VS, Hutfless SM, Yadav D, Khashab MA, Lennon AM, Makary MA, et al. A population-based study of severity in patients with acute on chronic pancreatitis. Pancreas. 2013;42:1245–50.PubMedCrossRef Akshintala VS, Hutfless SM, Yadav D, Khashab MA, Lennon AM, Makary MA, et al. A population-based study of severity in patients with acute on chronic pancreatitis. Pancreas. 2013;42:1245–50.PubMedCrossRef
51.
Zurück zum Zitat Pitchumoni CS, Patel NM, Shah P. Factors influencing mortality in acute pancreatitis: can we alter them? J Clin Gastroenterol. 2005;39:798–814.PubMedCrossRef Pitchumoni CS, Patel NM, Shah P. Factors influencing mortality in acute pancreatitis: can we alter them? J Clin Gastroenterol. 2005;39:798–814.PubMedCrossRef
52.
Zurück zum Zitat Weitz G, Woitalla J, Wellhöner P, Schmidt KJ, Büning J, Fellermann K. Comorbidity in acute pancreatitis relates to organ failure but not to local complications. Z Gastroenterol. 2016;54:226–30.PubMedCrossRef Weitz G, Woitalla J, Wellhöner P, Schmidt KJ, Büning J, Fellermann K. Comorbidity in acute pancreatitis relates to organ failure but not to local complications. Z Gastroenterol. 2016;54:226–30.PubMedCrossRef
53.
Zurück zum Zitat Pedraza-Serrano F, Jiménez-García R, López-de-Andrés A, Hernández-Barrera V, Esteban-Hernández J, Sánchez-Muñoz G, et al. Comorbidities and risk of mortality among hospitalized patients with idiopathic pulmonary fibrosis in Spain from 2002 to 2014. Respir Med. 2018;138:137–43.PubMedCrossRef Pedraza-Serrano F, Jiménez-García R, López-de-Andrés A, Hernández-Barrera V, Esteban-Hernández J, Sánchez-Muñoz G, et al. Comorbidities and risk of mortality among hospitalized patients with idiopathic pulmonary fibrosis in Spain from 2002 to 2014. Respir Med. 2018;138:137–43.PubMedCrossRef
54.
Zurück zum Zitat Menendez ME, Neuhaus V, van Dijk CN, Ring D. The Elixhauser comorbidity method outperforms the Charlson index in predicting inpatient death after orthopaedic surgery. Clin Orthop Relat Res. 2014;472:2878–86.PubMedPubMedCentralCrossRef Menendez ME, Neuhaus V, van Dijk CN, Ring D. The Elixhauser comorbidity method outperforms the Charlson index in predicting inpatient death after orthopaedic surgery. Clin Orthop Relat Res. 2014;472:2878–86.PubMedPubMedCentralCrossRef
55.
Zurück zum Zitat Murata A, Ohtani M, Muramatsu K, Matsuda S. Influence of comorbidity on outcomes of older patients with acute pancreatitis based on a national administrative database. Hepatobiliary Pancreat Dis Int. 2015;14:422–8.PubMedCrossRef Murata A, Ohtani M, Muramatsu K, Matsuda S. Influence of comorbidity on outcomes of older patients with acute pancreatitis based on a national administrative database. Hepatobiliary Pancreat Dis Int. 2015;14:422–8.PubMedCrossRef
56.
Zurück zum Zitat Bernardi M, Moreau R, Angeli P, Schnabl B, Arroyo V. Mechanisms of decompensation and organ failure in cirrhosis: From peripheral arterial vasodilation to systemic inflammation hypothesis. J Hepatol. 2015;63:1272–84.PubMedCrossRef Bernardi M, Moreau R, Angeli P, Schnabl B, Arroyo V. Mechanisms of decompensation and organ failure in cirrhosis: From peripheral arterial vasodilation to systemic inflammation hypothesis. J Hepatol. 2015;63:1272–84.PubMedCrossRef
57.
Zurück zum Zitat Shin KY, Lee WS, Chung DW, Heo J, Jung MK, Tak WY, et al. Influence of obesity on the severity and clinical outcome of acute pancreatitis. Gut Liver. 2011;5:335–9.PubMedPubMedCentralCrossRef Shin KY, Lee WS, Chung DW, Heo J, Jung MK, Tak WY, et al. Influence of obesity on the severity and clinical outcome of acute pancreatitis. Gut Liver. 2011;5:335–9.PubMedPubMedCentralCrossRef
58.
Zurück zum Zitat Moran RA, García-Rayado G, de la Iglesia-García D, Martínez-Moneo E, Fort-Martorell E, Lauret-Braña E, et al. Influence of age, body mass index and comorbidity on major outcomes in acute pancreatitis, a prospective nation-wide multicentre study. United European Gastroenterol J. 2018;6:1508–18.PubMedPubMedCentralCrossRef Moran RA, García-Rayado G, de la Iglesia-García D, Martínez-Moneo E, Fort-Martorell E, Lauret-Braña E, et al. Influence of age, body mass index and comorbidity on major outcomes in acute pancreatitis, a prospective nation-wide multicentre study. United European Gastroenterol J. 2018;6:1508–18.PubMedPubMedCentralCrossRef
59.
Zurück zum Zitat Hong S, Qiwen B, Ying J, Wei A, Chaoyang T. Body mass index and the risk and prognosis of acute pancreatitis: a meta-analysis. Eur J Gastroenterol Hepatol. 2011;23:1136–43.PubMedCrossRef Hong S, Qiwen B, Ying J, Wei A, Chaoyang T. Body mass index and the risk and prognosis of acute pancreatitis: a meta-analysis. Eur J Gastroenterol Hepatol. 2011;23:1136–43.PubMedCrossRef
60.
Zurück zum Zitat Ranson JH, Rifkind KM, Roses DF, Fink SD, Eng K, Spencer FC. Prognostic signs and the role of operative management in acute pancreatitis. Surg Gynecol Obstet. 1974;139:69–81.PubMed Ranson JH, Rifkind KM, Roses DF, Fink SD, Eng K, Spencer FC. Prognostic signs and the role of operative management in acute pancreatitis. Surg Gynecol Obstet. 1974;139:69–81.PubMed
62.
Zurück zum Zitat Samanta J, Dhaka N, Gupta P, Singh AK, Yadav TD, Gupta V, et al. Comparative study of the outcome between alcohol and gallstone pancreatitis in a high-volume tertiary care center. JGH Open. 2019;3:338–43.PubMedPubMedCentralCrossRef Samanta J, Dhaka N, Gupta P, Singh AK, Yadav TD, Gupta V, et al. Comparative study of the outcome between alcohol and gallstone pancreatitis in a high-volume tertiary care center. JGH Open. 2019;3:338–43.PubMedPubMedCentralCrossRef
63.
Zurück zum Zitat Andersen AM, Novovic S, Ersbøll AK, Hansen MB. Mortality in alcohol and biliary acute pancreatitis. Pancreas. 2008;36:432–4.PubMedCrossRef Andersen AM, Novovic S, Ersbøll AK, Hansen MB. Mortality in alcohol and biliary acute pancreatitis. Pancreas. 2008;36:432–4.PubMedCrossRef
64.
Zurück zum Zitat Bálint ER, Fűr G, Kiss L, Németh DI, Soós A, Hegyi P, et al. Assessment of the course of acute pancreatitis in the light of aetiology: a systematic review and meta-analysis. Sci Rep. 2020;10:17936.PubMedPubMedCentralCrossRef Bálint ER, Fűr G, Kiss L, Németh DI, Soós A, Hegyi P, et al. Assessment of the course of acute pancreatitis in the light of aetiology: a systematic review and meta-analysis. Sci Rep. 2020;10:17936.PubMedPubMedCentralCrossRef
66.
Zurück zum Zitat Kochar B, Akshintala VS, Afghani E, Elmunzer BJ, Kim KJ, Lennon AM, et al. Incidence, severity, and mortality of post-ERCP pancreatitis: a systematic review by using randomized, controlled trials. Gastrointest Endosc. 2015;81:143-149.e9.PubMedCrossRef Kochar B, Akshintala VS, Afghani E, Elmunzer BJ, Kim KJ, Lennon AM, et al. Incidence, severity, and mortality of post-ERCP pancreatitis: a systematic review by using randomized, controlled trials. Gastrointest Endosc. 2015;81:143-149.e9.PubMedCrossRef
67.
Zurück zum Zitat Facciorusso A, di Maso M, Serviddio G, Larghi A, Costamagna G, Muscatiello N. Echoendoscopic ethanol ablation of tumor combined with celiac plexus neurolysis in patients with pancreatic adenocarcinoma. J Gastroenterol Hepatol. 2017;32:439–45.PubMedCrossRef Facciorusso A, di Maso M, Serviddio G, Larghi A, Costamagna G, Muscatiello N. Echoendoscopic ethanol ablation of tumor combined with celiac plexus neurolysis in patients with pancreatic adenocarcinoma. J Gastroenterol Hepatol. 2017;32:439–45.PubMedCrossRef
68.
Zurück zum Zitat Kirkegård J, Mortensen MR, Johannsen IR, Mortensen FV, Cronin-Fenton D. Positive predictive value of acute and chronic pancreatitis diagnoses in the danish national patient registry: A validation study. Scand J Public Health. 2020;48:14–9.PubMedCrossRef Kirkegård J, Mortensen MR, Johannsen IR, Mortensen FV, Cronin-Fenton D. Positive predictive value of acute and chronic pancreatitis diagnoses in the danish national patient registry: A validation study. Scand J Public Health. 2020;48:14–9.PubMedCrossRef
69.
Zurück zum Zitat Floyd JS, Bann MA, Felcher AH, Sapp D, Nguyen MD, Ajao A, et al. Validation of acute pancreatitis among adults in an integrated healthcare system. Epidemiology. 2023;34:33–7.PubMedCrossRef Floyd JS, Bann MA, Felcher AH, Sapp D, Nguyen MD, Ajao A, et al. Validation of acute pancreatitis among adults in an integrated healthcare system. Epidemiology. 2023;34:33–7.PubMedCrossRef
70.
Zurück zum Zitat Xiao AY, Tan ML, Plana MN, Yadav D, Zamora J, Petrov MS. The use of international classification of diseases codes to identify patients with pancreatitis: a systematic review and meta-analysis of diagnostic accuracy studies. Clin Transl Gastroenterol. 2018;9:191.PubMedPubMedCentralCrossRef Xiao AY, Tan ML, Plana MN, Yadav D, Zamora J, Petrov MS. The use of international classification of diseases codes to identify patients with pancreatitis: a systematic review and meta-analysis of diagnostic accuracy studies. Clin Transl Gastroenterol. 2018;9:191.PubMedPubMedCentralCrossRef
71.
Zurück zum Zitat Razavi D, Ljung R, Lu Y, Andrén-Sandberg A, Lindblad M. Reliability of acute pancreatitis diagnosis coding in a National Patient Register: a validation study in Sweden. Pancreatology. 2011;11:525–32.PubMedCrossRef Razavi D, Ljung R, Lu Y, Andrén-Sandberg A, Lindblad M. Reliability of acute pancreatitis diagnosis coding in a National Patient Register: a validation study in Sweden. Pancreatology. 2011;11:525–32.PubMedCrossRef
72.
Zurück zum Zitat Ribera A, Marsal JR, Ferreira-González I, Cascant P, Pons JM, Mitjavila F, et al. Predicting in-hospital mortality with coronary bypass surgery using hospital discharge data: comparison with a prospective observational study. Rev Esp Cardiol. 2008;61:843–52.PubMedCrossRef Ribera A, Marsal JR, Ferreira-González I, Cascant P, Pons JM, Mitjavila F, et al. Predicting in-hospital mortality with coronary bypass surgery using hospital discharge data: comparison with a prospective observational study. Rev Esp Cardiol. 2008;61:843–52.PubMedCrossRef
73.
Zurück zum Zitat Guillaumes S, Hoyuela C, Hidalgo NJ, Juvany M, Bachero I, Ardid J, et al. Inguinal hernia repair in Spain. A population-based study of 263,283 patients: factors associated with the choice of laparoscopic approach. Hernia. 2021;25:1345–54.PubMedCrossRef Guillaumes S, Hoyuela C, Hidalgo NJ, Juvany M, Bachero I, Ardid J, et al. Inguinal hernia repair in Spain. A population-based study of 263,283 patients: factors associated with the choice of laparoscopic approach. Hernia. 2021;25:1345–54.PubMedCrossRef
Metadaten
Titel
Impact of comorbidities on hospital mortality in patients with acute pancreatitis: a population-based study of 110,021 patients
verfasst von
Nils Jimmy Hidalgo
Elizabeth Pando
Rodrigo Mata
Nair Fernandes
Sara Villasante
Marta Barros
Daniel Herms
Laia Blanco
Joaquim Balsells
Ramon Charco
Publikationsdatum
01.12.2023
Verlag
BioMed Central
Erschienen in
BMC Gastroenterology / Ausgabe 1/2023
Elektronische ISSN: 1471-230X
DOI
https://doi.org/10.1186/s12876-023-02730-6

Weitere Artikel der Ausgabe 1/2023

BMC Gastroenterology 1/2023 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Blutdrucksenkung könnte Uterusmyome verhindern

Frauen mit unbehandelter oder neu auftretender Hypertonie haben ein deutlich erhöhtes Risiko für Uterusmyome. Eine Therapie mit Antihypertensiva geht hingegen mit einer verringerten Inzidenz der gutartigen Tumoren einher.

„Jeder Fall von plötzlichem Tod muss obduziert werden!“

17.05.2024 Plötzlicher Herztod Nachrichten

Ein signifikanter Anteil der Fälle von plötzlichem Herztod ist genetisch bedingt. Um ihre Verwandten vor diesem Schicksal zu bewahren, sollten jüngere Personen, die plötzlich unerwartet versterben, ausnahmslos einer Autopsie unterzogen werden.

Hirnblutung unter DOAK und VKA ähnlich bedrohlich

17.05.2024 Direkte orale Antikoagulanzien Nachrichten

Kommt es zu einer nichttraumatischen Hirnblutung, spielt es keine große Rolle, ob die Betroffenen zuvor direkt wirksame orale Antikoagulanzien oder Marcumar bekommen haben: Die Prognose ist ähnlich schlecht.

Schlechtere Vorhofflimmern-Prognose bei kleinem linken Ventrikel

17.05.2024 Vorhofflimmern Nachrichten

Nicht nur ein vergrößerter, sondern auch ein kleiner linker Ventrikel ist bei Vorhofflimmern mit einer erhöhten Komplikationsrate assoziiert. Der Zusammenhang besteht nach Daten aus China unabhängig von anderen Risikofaktoren.

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.