Early Rapid Fluid Therapy Is Associated with Increased Rate of Noninvasive Positive-Pressure Ventilation in Hemoconcentrated Patients with Severe Acute Pancreatitis
verfasst von:
Lan Li, Tao Jin, Si Wen, Na Shi, Ruwen Zhang, Ping Zhu, Ziqi Lin, Kun Jiang, Jia Guo, Tingting Liu, Anthony Philips, Lihui Deng, Xiaonan Yang, Vikesh K. Singh, Robert Sutton, John A. Windsor, Wei Huang, Qing Xia
Hematocrit is a widely used biomarker to guide early fluid therapy for patients with acute pancreatitis (AP), but there is controversy over whether early rapid fluid therapy (ERFT) should be used in hemoconcentrated patients. This study investigated the association of hematocrit and ERFT with clinical outcomes of patients with AP.
Methods
Data from prospectively maintained AP database and retrospectively collected fluid management details were stratified according to actual severity defined by revised Atlanta classification. Hemoconcentration and “early” were defined as hematocrit > 44% and the first 6 h of general ward admission, respectively, and “rapid” fluid rate was defined as ≥ 3 ml/kg/h. Patients were allocated into 4 groups for comparisons: group A, hematocrit ≤ 44% and fluid rate < 3 ml/kg/h; group B, hematocrit ≤ 44% and fluid rate ≥ 3 ml/kg/h; group C, hematocrit > 44% and fluid rate < 3 ml/kg/h; and group D, hematocrit > 44% and fluid rate ≥ 3 ml/kg/h. Primary outcome was rate of noninvasive positive-pressure ventilation (NPPV).
Results
A total of 912 consecutive AP patients were analyzed. ERFT has no impact on clinical outcomes of hemoconcentrated, non-severe or all non-hemoconcentrated AP patients. In hemoconcentrated patients with severe AP (SAP), ERFT was accompanied with increased risk of NPPV (odds ratio 5.96, 95% CI 1.57–22.6). Multivariate regression analyses confirmed ERFT and hemoconcentration were significantly and independently associated with persistent organ failure and mortality in patients with SAP.
Conclusions
ERFT is associated with increased rate of NPPV in hemoconcentrated patients with SAP.
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Introduction
The severe form of acute pancreatitis (SAP), defined as single or multiple persistent organ failure (OF) by Revised Atlanta Classification (RAC), carries a mortality of 36–50% [1]. The most common OF is respiratory dysfunction and failure [2, 3]. Despite many advances in our understanding of the pathophysiology of AP, there remains no effective pharmacological treatment [4]. Fluid resuscitation is considered the cornerstone of early treatment of AP [5, 6], although there are many unanswered questions regarding the type of fluid to use, how fast to give it, and how best to monitor the response to it [7].
A number of studies have investigated the rate of fluid administration in patients with AP. Many clinicians advocate [5, 6] “early aggressive” fluid therapy on the basis that this reduces the systemic inflammatory response syndrome (SIRS), incidence of OF and hospital length of stay (LOS), but the benefits were more pronounced for mild than severe cases [8]. Other studies have suggested that in patients with predominately mild AP, early aggressive fluid therapy is associated with reduced LOS [9, 10] and improved composite clinical outcomes [11]. In contrast, clinicians advocating a more moderate approach to fluid resuscitation argue that pancreatic necrosis is irreversible and that a higher volume of fluid given over the first 24 h is associated with higher incidence of respiratory dysfunction/failure, local complications, sepsis, and mortality [3, 12‐14]. A randomized controlled clinical trial of patients with predicted SAP had a significantly worse clinical outcome with rapid fluid expansion [15, 16]. The International Association of Pancreatology (IAP)/American Pancreatic Association (APA) [6], American College of Gastroenterology (ACG) [5], and Japanese Practice Guidelines [17] all recommend aggressive hydration although at different fluid rates (Table 1). Given the conflicting low level evidence, the American Gastroenterology Association (AGA) Practice Guidelines [18] only recommend “early goal-directed” fluid therapy without providing details for other important aspects of fluid therapy. While there is some evidence that early goal-directed therapy decreases mortality in severe sepsis and septic shock [19], subsequent trials have not confirmed this (i.e., ARISE, PROCESS, and PROMISE) [20‐22]. Many other goals have been proposed [23] and while the goal-directed approach is an attractive concept, none have been adequately validated in the management of patients with AP. In the absence of a proven goal for fluid resuscitation, it is not yet possible to recommend a goal-directed approach in AP patients.
Table 1
Summary of clinical guidelines of aggressive hydration in acute pancreatitis
Guidelines
Fluid rate
2013 IAP and APA
Goal-directed intravenous fluid therapy with 5–10 ml/kg/h
2013 ACG
Aggressive hydration, defined as 250–500 ml/h crystalloid solution
2015 Japanese guideline
Short-time rapid fluid resuscitation (150–600 ml/h) depending on the presence of shock and the dehydration level
2018 AGA
Goal-directed therapy for fluid management
2019 WSES
Fluid overload is known to have detrimental effects, and early fluid resuscitation should be guided by frequent reassessment of the hemodynamic status
IAP International Association of Pancreatology, APA American Pancreatic Association, ACG American College of Gastroenterology, AGA American Gastroenterology Association, WSES World Society of Emergency Surgery
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The most commonly used goals of fluid resuscitation are the normalization of urine output and blood pressure [23], but this has been shown to risk fluid overload and increased mortality [24]. The laboratory marker that shows promise as a goal and a guide to fluid therapy in patients with AP is hematocrit [25]. Hematocrit is the volume percentage of red blood cells in blood, or a marker of hemoconcentration or hemodilution. Hemoconcentration in AP was first described in the 1960s [26]. In 1998, Baillargeon et al. [27] reported that an admission serum hematocrit level ≥ 47% that did not decrease during the first 24 h was predictive of acute necrotic collection (ANC). Subsequent prospective studies [28‐30] by the same group suggested that an admission hematocrit level ≥ 44%, especially if it increased at 24 h, was a significant predictor for both ANC and OF. This has been confirmed in a recent study of 1,612 AP patients, where admission hematocrit > 44% was a more accurate predictor of ANC and persistent OF than other biomarkers [31]. A randomized controlled clinical trial of patients with predicted SAP had a significantly worse clinical outcome when hematocrit was decreased to < 35% within 48 h of commencing fluid resuscitation, i.e., rapid hemodilution [15, 16]. The IAP/APA Practice Guidelines recommend that the goal of fluid therapy should be to maintain hematocrit levels at 35–44% [6].
In this study, we undertook retrospective analysis of prospectively collected data from the largest AP tertiary center in China (Supplementary Fig. S1) to determine the relationship between early rapid fluid therapy (ERFT), hemoconcentration, and clinical outcomes in patients with AP after general ward admission. The hypothesis was that ERFT is associated with increased risk of respiratory dysfunction requiring noninvasive positive-pressure ventilation (NPPV) in hemoconcentrated SAP patients.
Materials and Methods
Study Design and Setting
A retrospective analysis was conducting using the STROBE guidelines [32] of the AP database at West China Hospital of Sichuan University. This is the largest center in China managing patients with AP. The study protocol was approved by the Institutional Review Board (No. 247) of the hospital, and informed consent was waived. Data from consecutive AP patients admitted to the Pancreatitis Center between January 1, 2016, and August 31, 2017, were prospectively collected into our database (Microsoft Access, Redmond, USA) by data managers using electronic Heath Information System (Donghua Medical, Shenzhen, China). Data regarding fluid therapy were retrospectively collected using International Classification of Diseases 10th edition (ICD-10) code K85 for patient identification.
Data Collection
Quality assurance, quality control, standard operating procedures, and researcher training were implemented in the study process. Retrospective data collection for fluid collection was undertaken by two experienced clinical researchers (LL and TJ) using a pre-defined pro forma designed by senior authors (QX and WH) and audited by clinical leads (LD, KJ, and ZL).
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Inclusion and Exclusion Criteria
AP was diagnosed by two of three criteria: epigastric abdominal pain, elevated amylase or lipase > 3 times of the upper limit of normal, and/or imaging consistent with AP [1]. Confirmed AP patients who had symptom onset ≤ 48 h when admitted to general wards were included regardless of the disease episodes. Exclusion criteria included those in whom AP was not the primary admitting diagnosis; ages < 18 or > 70 years; patients transferred to ICU admission within 24 h of ward admission; AP due to trauma or pancreatic cancer; chronic pancreatitis; pregnancy; advanced comorbidities; incomplete data for extraction (for example, lack of body weight, height, or computed tomography images).
Fluid and Intensive Care Management
In the West China Hospital, AP patients are initially admitted to the Emergency Department (ED). After confirming the diagnosis and initiation of fluid therapy with normal saline in the ED, patients are transferred to a general ward. Once transferred to the ward, patients have continuation of fluid therapy with (normal saline or Ringer’s lactate solution) at 1–5 ml/kg/h for the first 24 h, with the rate based on predicted severity of AP and the clinical assessment of hydration status, rather than based on a pre-defined resuscitation protocol. Patients do not routinely receive additional fluid as a bolus (e.g., 10–20 ml/kg/h over 30–45 min) unless they were shocked, with mean arterial pressure < 65 mm Hg [33]. Patients are admitted to a ward-based high-dependency unit (HDU) if they meet the criteria for NPPV [34]. Indications for NPPV are: patients alert and orientated, able to control airway and clear secretion but experiencing tachypnea (respiratory rate > 25/min) or dyspnea (use of accessory muscles for breathing), or arterial partial pressure of PaO2 < 60 mm Hg, with or without partial pressure of CO2 > 45 mm Hg (measured by Roche Cobas b123 automatic blood gas analyzer; Shanghai, China), despite high flow oxygen by humidified non-rebreather mask (1060, Teleflex Medical; Limerick, PA, USA) at 8 L/min. The NPPV is delivered by Respironics V60 in the BiPAP S/T mode (Philips Respironics, BiPAP® Vision™; Pittsburgh, PA, USA) with a positive end expiratory pressure of 4–6 cmH2O. Patients are admitted to intensive care unit (ICU) for mechanical ventilation, renal replacement therapy, and/or the need for continuous vasopressors/inotropes.
Study Definitions
“Severity” of AP
The actual severity of AP patients was used to stratify patients, using the RAC criteria [mild AP (MAP), moderately severe AP (MSAP), and SAP] based on the most severe grade during period of index hospital admission [1].
“Early” fluid therapy
This was the “first 6 h” of fluid therapy administered on the general wards, after transfer from ED. This did not include the fluid administered in the ED prior to transfer.
“Rate” of fluid therapy
The rate of fluid infusion was defined as “rapid” if it was ≥ 3 ml/kg/h (with “slow” < 3 ml/kg/h), based on the average rate of fluid therapy during the first 6 h of admission on general ward. Thus, ERFT would be ≥ 225 ml/h for a 75-kg person over the first 6 h and “early slow fluid therapy” (ESFT) < 225 ml/h. The cut-off fluid rate of 3 ml/kg/h was taken from ACG Guidelines (≥ 250 ml/h) [5].
Hemoconcentration
Hematocrit was also measured at the time of admission to the general ward and not admission to ED. Hemoconcentration was defined as serum hematocrit > 44% [27, 28, 31].
Patients Groups
The patients were stratified into 4 groups based on hematocrit and fluid rate and all in reference to the first 6 h of admission to the general wards:
Group A hematocrit ≤ 44% on admission and fluid rate < 3 ml/kg/h,
Group B hematocrit ≤ 44% on admission and fluid rate ≥ 3 ml/kg/h,
Group C hematocrit > 44% on admission and fluid rate < 3 ml/kg/h,
Group D hematocrit > 44% on admission and fluid rate ≥ 3 ml/kg/h.
Outcomes
The primary clinical outcome measure was the rate of NPPV. We have selected NPPV as the primary endpoint because respiratory dysfunction/failure is the most common organ system affected, and because we have demonstrated that the most frequently noted consequence of ERFT is respiratory dysfunction [24]. In our setting, NPPV is the most commonly used means of organ support and it is frequently used in the general ward setting, and has been shown to reduce the need for ICU admission and invasive ventilation [34]. Secondary outcomes included persistent OF, multiple OF (MOF), HDU admission, ICU admission, local pancreatic complications, drainage necrosectomy, overall mortality, length of overall hospital stay (LOS), and costs. Definitions for etiologies and other study variables are shown in Supplementary Methods.
Statistical Analysis
Baseline parameters and clinical outcomes were compared between groups A and B (non-hemoconcentrated: ESFT vs. ERFT) or groups C and D (hemoconcentrated: ESFT vs. ERFT). Groups A and C (ESFT: non-hemoconcentrated vs. hemoconcentrated) were also compared with groups B and D (ERFT: non-hemoconcentrated vs. hemoconcentrated). Categorical data are expressed as number and percentage and compared by \(\chi^{2}\) test (or Fisher’s exact test). Continuous data are presented as median and interquartile range (IQR) and compared using Mann–Whitney U test (2 groups) or Kruskal–Wallis H test (3 groups) if distribution was skewed. Baseline variables with or without clinical severity score on ward admission were compared between groups using univariate analysis. Those covariates with P value < 0.2 were further fitted into: (1) multivariate logistic regression analyses for categorical clinical outcomes and linear regression analyses for qualitative clinical outcomes and LOS of MAP and MSAP [1], respectively, and expressed as odds ratio (OR) with 95% confidence interval (CI); or (2) Cox regression analyses for predicted hospital discharge and expressed as hazard ratios (HR) with 95% CI. In the Cox analysis, days for deceased patients are considered as truncated data. A two-sided P < 0.05 was considered statistically significant. Statistical analyses were performed using SPSS® 21.0 (IBM, Armonk, New York, USA).
Results
Characteristics of Patient Cohort
The algorithm for fluid therapy and patient selection is presented in Fig. 1. A total of 912 patients were included in the study. The baseline characteristics and clinical outcomes stratified by RAC severity grades [1] are summarized in Table 2: 352 (38.6%) were MAP, 412 (45.2%) MSAP, and 148 (16.2%) SAP. The median age was 45 years (range 19 to 70 years), and 68% were males. Hypertriglyceridemia (36.7%) was the leading etiology, followed by biliary (23.1%) and alcohol (7.8%), consistent with our recent findings from large cohorts [2, 35, 36]. The median time from symptom onset to general ward admission was 24 h (range 6–48 h), and that from ED to general ward was 6.5 h (range 4–19.5 h). Of 148 patients with persistent OF, 95 (64%) had an onset ≤ 24 h of admission, followed by 44 (29.7%), 3 (2%) and 6 (4%) on day 1, 2, and 3 and days ≥ 4, respectively (Supplementary Fig. 2). There were 145 [15.9%] respiratory, 10 [1.0%] circulatory, and 22 [2.4%] renal persistent OF with 22 (2.4%) had MOF. There were 157 (17.2%) admitted to HDU/ICU. Local pancreatic complications were diagnosed in a total of 518 patients: 331 (46.5%) had acute peripancreatic fluid collections (APFC), and 187 (20.5%) had ANC. Pancreatic necrosectomy was performed in 43 (6.0%) patients. All 27 patients who died had SAP (27/148, 18.2%), giving an overall mortality rate of 3.8% (Table 2).
Fig. 1
Fluid therapy and patient selection process of acute pancreatitis. Patients selection process of the study. AP acute pancreatitis, MAP mild acute pancreatitis, MSAP moderate severe acute pancreatitis, SAP severe acute pancreatitis. *Initial fluid therapy
Table 2
Baseline characteristics and clinical outcomes of overall included patients
Parameters
Total (n = 912)
MAP (n = 352)
MSAP (n = 412)
SAP (n = 148)
P valuea
Demographics
Age, years, median (IQR)
45 (38–51)
44 (39–51)
45 (38–51)
46 (41–52)
0.004b
Gender, male (%)
620 (68.0)
234 (66.7)
285 (69.2)
101 (68.2)
0.437
Body mass index, kg/m2 median (IQR)
25.3 (23.0–27.7)
25.3 (22.9–27.7)
24.9 (22.8–27.3)
26.3 (24.0–28.4)
< 0.001b
Charlson comorbidity index, median (IQR)
1 (0–2)
2 (0–2)
1 (0–2)
1 (0–2)
0.593
Etiology
Biliary
211 (23.1)
63 (17.9)
112 (27.2)
36 (24.3)
0.002c
Hypertriglyceridemia
335 (36.7)
134 (38.2)
140 (34.0)
61 (41.2)
0.229
Alcoholics
71 (7.8)
31 (8.9)
26 (6.3)
14 (9.5)
0.241
Others
295 (32.3)
124 (35.2)
134 (32.5)
37 (25.0)
0.205
Clinical scoring systems
SIRS, median (IQR)
2 (1–2)
1 (1–2)
2 (1–2)
3 (2–3)
0.009d
Glasgow, median (IQR)
1 (0–2)
1 (0–1)
1 (0–2)
2 (2–3)
< 0.001d
APACHE II, median (IQR)
4 (2–6)
3 (2–5)
4 (2–6)
7 (5–10)
< 0.001d
SOFA, median (IQR)
0 (0–1)
0 (0–0)
0 (0–1)
2 (0–3)
< 0.001d
Clinical outcomes
Single persistent OF
Respiratory (%)
145 (15.9)
0
0
145 (98.0)
< 0.001d
Circulatory (%)
10 (1.0)
0
0
10 (6.8)
< 0.001b
Renal (%)
22 (2.4)
0
0
22 (14.9)
< 0.001b
MOF (%)
22 (2.4)
0
0
22 (14.9)
< 0.001b
HDU/ICU admission (%)
157 (17.2)
0
35 (8.5)
122 (82.4)
< 0.001d
Respiratory support (%)
133 (18.7)
0
10 (2.4)
122 (82.4)
0.013d
Local complication
Acute peripancreatic fluid collection (%)
331 (46.5)
0
234 (56.8)
97 (65.5)
< 0.001d
ANC (%)
187 (20.5)
0
128 (31.3)
59 (39.9)
< 0.001d
Necrosectomy (%)
43 (6.0)
0
20 (4.9)
23 (15.5)
0.017d
Mortality (%)
27 (3.8)
0
0
27 (18.2)
< 0.001b
Hospital LOS, median (IQR)e
10 (7–14)
8 (6–10)
10 (7–14)
17 (13, 24)
< 0.001d
MAP mild acute pancreatitis, MSAP moderately severe acute pancreatitis, SAP severe acute pancreatitis, IQR interquartile range, SIRS systemic inflammatory response syndrome, APACHE II Acute Physiology and Chronic Health Evaluation II, SOFA Sequential Organ Failure Assessment, OF organ failure, MOF multiple organ failure, HDU high-dependency unit, ICU intensive care unit, ANC acute necrotic collection, LOS length of stay
aIndicates χ2 (or Fisher’s exact test) for qualitative data and Kruskal–Wallis H test for quantitative data
bP < 0.05, severe versus mild or moderate
cP < 0.05, mild versus moderate
dP < 0.05, between any two groups
eData from deceased patients are removed from the analysis
×
Baseline Parameters and Clinical Outcomes
Patients with hemoconcentration on admission (n = 313), compared with those without hemoconcentration (n = 599; Supplementary Table 1), were significantly younger (median 43 vs. 46 years, P <0.001), more likely to be male (86.6% vs. 58.2%, P <0.001), and had increased body mass index (26 vs. 24.7 kg/m2, P < 0.001), Charlson comorbidity index (median score 2 vs. 1, P < 0.05), and were associated with more severe clinical severity scores (SIRS, Glasgow, Acute Physiology and Chronic Health Evaluation II and Sequential Organ Failure Assessment scores; all P < 0.001). In regard to clinical outcomes, the incidence of APFC, rate of necrosectomy, and LOS were similar between those with and without hemoconcentration. All other clinical outcomes of interest were significantly worse in the hemoconcentrated patients (Supplementary Table 2), including single persistent OF, MOF, ICU admission, respiratory support, ANC, and mortality.
Clinical Outcomes of Hemoconcentrated Patients Between Different Fluid Rates
Furthermore, there was no difference in hospital LOS in MAP (Supplementary Table 3a); there were no differences all clinical outcomes of interest in MSAP (Supplementary Table 3b). In SAP patients, there was no difference in baseline parameters (including age, gender, body mass index, Charlson comorbidity index, time to admission, etiology, and admission clinical severity scoring system) and severity of acute respiratory distress syndrome (ARDS) as per Berlin definition [37] when admitted at general wards (all P > 0.09; Table 3); however, there was significantly higher respiratory support rate (OR 5.01, 95% CI [1.30, 19.3], P = 0.019), and this was mostly attributed to higher rate of NPPV use (OR 5.96, 95% CI [1.57, 22.6], P = 0.009; Table 4). And there was significantly reduced predicted hospital discharge (HR 0.62 [0.20, 1.87], P = 0.030), indicating significantly longer LOS in SAP (Table 4), while rate of persistent OF, MOF, local complications, necrosectomy, and mortality were similar (all P > 0.19, Table 4).
Table 3
Comparison of baseline parameters and ARDS level in hemoconcentrated SAP patients between different fluid rates
Parameters
SAP
P valuea
Rate < 3 ml/kg/h
n = 29
Rate ≥ 3 ml/kg/h
n = 49
Demographics
Age, years, median (IQR)
46 (41, 53)
46 (38, 52)
0.580
Gender, male (%)
23 (79.3)
36 (73.5)
0.599
Body mass index (kg/m2), median (IQR)
26.1 (23.1, 28.1)
26.8 (24.2, 30.0)
0.379
Charlson comorbidity index, median (IQR)
1 (0–2)
1 (0–2)
0.496
Time to admission (h), median (IQR)
24 (21–24)
24 (17–24)
0.438
Etiology
Biliary (%)
12 (41.4)
13 (26.5)
0.213
Hypertriglyceridemia (%)
8 (27.6)
20 (40.9)
0.329
Alcoholic (%)
0
6 (12.2)
0.079
Others (%)
9 (31.0)
10 (20.4)
0.413
Clinical scoring systems
SIRS, median (IQR)
3 (2–3)
3 (2–3)
0.486
Glasgow, median (IQR)
2 (2–3)
3 (2–4)
0.091
APACHE II, median (IQR)
8 (6–11)
8 (7–14)
0.685
SOFA, median (IQR)
2 (0–3)
2 (1–4)
0.152
ARDS level at admission (%)
Mild (200–300)
9 (33.3)
9 (19.6)
0.188
Moderate (100–200)
6 (22.2)
13 (28.3)
0.570
Severe (≤ 100)
0
2 (4.3)
0.272
ARDS acute respiratory distress syndrome, SAP severe acute pancreatitis, IQR interquartile range, SIRS systemic inflammatory response syndrome, APACHE II Acute Physiology and Chronic Health Evaluation II, SOFA Sequential Organ Failure Assessment
aIndicates χ2 or Fisher’s exact test for qualitative data and Mann–Whitney U test for quantitative data
Table 4
Comparison of clinical outcomes in hemoconcentrated SAP patients between different fluid rates
Clinical outcomes
SAP
P valuea
Estimate (95% CI)b
Adjusted P valuec
ESFT (rate < 3 ml/kg/h)
n = 29
ERFT (rate ≥ 3 ml/kg/h)
n = 49
Single persistent OF
Respiratory (%)
27 (93.1)
48 (98.0)
0.281
3.33 (0.27, 41.5)
0.350
Circulatory (%)
1 (3.4)
9 (18.4)
0.057
4.39 (0.48, 40.0)
0.189
Renal (%)
5 (17.2)
11 (22.4)
0.582
0.64 (0.15, 2.81)
0.556
MOF (%)
4 (13.8)
14 (28.6)
0.134
1.59 (0.36, 6.99)
0.542
HDU/ICU admission (%)
23 (79.3)
43 (87.8)
0.318
1.89 (0.52, 6.89)
0.333
Respiratory support (%)d
20 (69.0)
45 (91.8)
0.009
5.01 (1.30, 19.3)
0.019
NPPV (%)
18 (62.1)
41 (83.7)
0.032
5.96 (1.57, 22.6)
0.009
IMV (%)
6 (20.7)
15 (30.6)
0.340
1.48 (0.43, 5.08)
0.530
Local complication
Acute peripancreatic fluid collection (%)
21 (72.4)
36 (73.5)
0.919
0.89 (0.30, 2.64)
0.832
ANC (%)
13 (44.8)
22 (44.9)
0.995
0.99 (0.37, 2.50)
0.925
Necrosectomy (%)
6 (20.7)
5 (10.2)
0.198
0.48 (0.13, 1.84)
0.285
Mortality (%)
7 (24.1)
10 (20.4)
0.700
0.29 (0.09, 0.89)
0.386
Hospital LOS, median (IQR)e
17 (10-22)
21 (13-29)
0.068
0.62 (0.20, 1.87)
0.030
Bold values indicate statistical significance P < 0.05
SAP severe acute pancreatitis, CI confidence interval, ESFT early slow fluid therapy, ERFT early rapid fluid therapy, OF organ failure, MOF multiple organ failure, HDU high-dependency unit, ICU intensive care unit, NPPV noninvasive positive-pressure ventilation, IMV invasive mechanic ventilation, ANC acute necrotic collection, LOS length of stay, IQR interquartile range
aIndicates χ2 (or Fisher’s exact test) for qualitative data and Mann–Whitney U test for quantitative data
bOdds ratio for qualitative data and hazard ratio for quantitative data (deceased patients are considered as truncated data)
cIndicates multivariate logistic regression model for qualitative data and Cox proportional hazards model quantitative data, respectively, after adjusting baseline variables from the univariate analysis with P < 0.2
dIn ESFT group, 14 only had NPPV, 4 had NPPV and then IMV, 2 had IMV without prior NPPV; in ERFT group, 30 only had NPPV, 11 had NPPV and then IMV, 4 had IMV without prior NPPV
ePredicted hospital discharge is used to calculate the estimate (deceased patients are considered as truncated data)
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After adjusting for different baseline parameters, subsequent analyses showed that there were no differences in clinical outcomes in all severity categories of non-hemoconcentrated patients between ESFT and ERFT (Supplementary Table 4a-c; all P > 0.15).
There were no significant differences in baseline parameters of SAP patients between non-hemoconcentrated and hemoconcentrated groups in ESFT or in ERFT. None of the clinical outcomes between non-hemoconcentrated and hemoconcentrated groups were significantly different following ESFT (Supplementary Table 5). Compared with non-hemoconcentrated patients, the hemoconcentrated patients were associated with prolonged predicted hospital discharge (HR 0.11 [0.18, 0.68], P = 0.017) following ERFT (Supplementary Table 6).
Fluid Therapy Rate and Volume
As expected and based on the definitions, there were significant differences in fluid rate between the four groups for those with and without hemoconcentration (Supplementary Fig. 3). The actual total fluid therapy volume given during the first 24 h was, as expected, significantly higher in patients with MSAP and SAP who received rapid fluid therapy (Supplementary Fig. 3b, c), but not in patients with MAP (Supplementary Fig. 3a).
Multivariate Logistic Regression Analyses and Sensitivity Analyses
In the multivariate logistic regression analyses, 6 (including age, time to admission, body mass index, referral, hemoconcentration, and ERFT) of 9 independent covariables were associated with persistent OF, 1 (referral) with ANC, 4 (Charlson comorbidity index, body mass index, hemoconcentration, and ERFT) with mortality (Table 5). Admission hemoconcentration and ERFT were significantly associated with persistent OF and mortality, but not ANC (Table 5).
Table 5
Multivariate analyses for persistent organ failure, acute necrotic collection, and mortality in all patients
Variable
Persistent organ failure
Acute necrotic collection
Mortality
Estimate
P
Estimate
P
Estimate
P
Age (years)a
1.04 (1.01, 1.05)
0.003
1.00 (0.98, 1.01)
0.605
1.04 (1.00, 1.09)
0.079
Gender
0.92 (0.58, 1.46)
0.733
1.04 (0.70, 1.54)
0.844
0.49 (0.20, 1.22)
0.126
Charlson comorbidity indexa
0.86 (0.73, 1.03)
0.099
0.97 (0.84, 1.12)
0.674
0.66 (0.44, 0.98)
0.039
Time to admission (h)a
1.03 (1.01, 1.04)
0.007
0.99 (0.98, 1.01)
0.372
1.03 (0.99, 1.06)
0.149
Body mass index (kg/m2)a
1.09 (1.03, 1.15)
0.002
1.04 (0.99, 1.08)
0.134
1.15 (1.04, 1.26)
0.005
Etiology
0.88 (0.65, 1.18)
0.381
1.10 (0.87, 1.39)
0.425
0.89 (0.50, 1.59)
0.691
Referral
3.38 (2.08, 5.51)
< 0.001
2.26 (1.56, 3.28)
< 0.001
3.02 (0.97, 9.41)
0.057
Hemoconcentration
2.48 (1.63, 3.76)
< 0.001
1.40 (0.98, 2.00)
0.061
3.95 (1.65, 9.48)
0.002
ERFT
2.59 (1.74, 3.85)
< 0.001
1.31 (0.90, 1.85)
0.130
2.39 (1.05, 5.44)
0.039
Bold values indicate statistical significance P < 0.05
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When restricted to patients admitted < 24 h after symptoms onset, hemoconcentration and ERFT were significantly associated with persistent OF, and only hemoconcentration was significantly associated with ANC (Table 6). Mortality was removed from analysis as only 8 deaths in 41 SAP patients.
Table 6
Multivariate analyses for persistent organ failure, acute necrotic collection in patients of admission < 24 h
Variable
Persistent organ failure
Acute necrotic collection
Estimate
P
Estimate
P
Age (years)a
1.03 (0.99, 1.07)
0.106
1.00 (0.97, 2.11)
0.760
Gender
1.50 (0.60, 3.76)
0.391
1.12 (0.60, 2.11)
0.726
Charlson comorbidity indexa
1.08 (0.79, 1.47)
0.653
1.19 (0.96, 1.49)
0.119
Time to admission (h)a
1.12 (1.04, 1.21)
0.004
0.96 (0.90, 1.01)
0.121
Body mass index (kg/m2)a
1.05 (0.95, 1.16)
0.328
1.04 (0.97, 1.13)
0.275
Etiology
1.26 (0.74, 2.16)
0.392
1.43 (0.97, 2.11)
0.071
Referral
2.03 (0.96, 4.28)
0.063
2.11 (1.23, 3.63)
0.007
Hemoconcentration
5.74 (2.63, 12.5)
< 0.001
1.77 (1.01, 3.09)
0.045
ERFT
3.36 (1.58, 7.14)
0.002
1.44 (0.82, 2.53)
0.202
Bold values indicate statistical significance P < 0.05
When restricted to patients admitted directly to West China Hospital, excluding those referred from other hospitals, only admission hemoconcentration and ERFT were associated with persistent OF and none of the other 9 covariables were significantly associated with ANC (Table 7). Mortality was removed from analysis as only 4 deaths in 40 SAP patients.
Table 7
Multivariate analyses for persistent organ failure, acute necrotic collection in primarily admitted patients
Variable
Persistent organ failure
Acute necrotic collection
Estimate
P
Estimate
P
Age (years)a
1.01 (0.97, 1.05)
0.836
0.98 (0.95, 1.01)
0.286
Gender
0.44 (0.16, 1.22)
0.116
1.01 (0.50, 2.04)
0.974
Charlson comorbidity indexa
0.98 (0.69, 1.39)
0.898
1.11 (0.87, 1.41)
0.418
Time to admission (h)a
1.02 (0.97, 1.06)
0.471
0.99 (0.96, 1.02)
0.592
Body mass index (kg/m2)a
1.09 (0.96, 1.24)
0.177
1.04 (0.95, 1.13)
0.419
Etiology
1.13 (0.59, 2.18)
0.715
1.31 (0.85, 2.03)
0.225
Hemoconcentration
2.95 (1. 51, 7.54)
0.024
1.13 (0.59, 2.20)
0.709
ERFT
3.12 (1.28, 7.58)
0.012
1.54 (0.81, 2.92)
0.187
Age, gender (male vs. female), Charlson comorbidity index, time to admission, body mass index, etiology (hypertriglyceridemia, biliary, alcoholic, others), transfer (yes vs. no), hemoconcentration (yes, hematocrit > 44% vs. no, ≤ 44%), fluid rate (fast, ≥ 3 ml/kg/h vs. slow, < 3 ml/kg/h) were included in multivariate logistic regression analysis
Bold values indicate statistical significance P < 0.05
ERFT early rapid fluid therapy
aContinuous variable
Discussion
The key finding of this study is that hemoconcentrated SAP patients who received ERFT had an increased risk of respiratory dysfunction (requiring NPPV) and had an increased LOS. This was not found in hemoconcentrated MAP and MSAP patients. Multivariate logistic regression analyses confirmed that ERFT and hematocrit (on admission to general wards) were significantly associated with persistent OF and mortality, but not ANC. The important clinical implication from this study is that ERFT should be used with cautious and tailored to the patient’s requirements in predicted SAP patients who remain hemoconcentrated after initial fluid therapy [38‐40]. The unsolved challenge is how to reliably determine an individual patient’s fluid requirements and how best to monitor the response to what is given [41].
In this study, we defined hemoconcentration as admission hematocrit level > 44%, based on previous studies [28, 29, 31]. Our results show that patients with hemoconcentration at ward admission had significantly higher baseline clinical severity scores and worse clinical outcomes (persistent OF, MOF, ANC, and mortality), consistent with the published literature [28, 29, 31]. The argument for ERFT is that hemoconcentration increases blood viscosity and flow resistance [42] and that correcting this with early aggressive fluid therapy will improve organ perfusion (e.g., pancreas, lung, kidneys) and clinical outcomes of AP [28, 29]. Although oxygen-carrying capacity of the blood is reduced during hemodilution by fluid therapy, there are limits to the compensatory mechanisms (increased cardiac output and tissue oxygen extraction) with extreme hemodilution [42]. Experimental studies have suggested that both hemoconcentration and rapid hemodilution are associated with increased severity of the underlying diseases [43, 44]. A randomized clinical trial has demonstrated that rapid hemodilution was associated with increased sepsis and mortality in patients with predicted SAP [16]. The findings of the present study are consistent with this trial as ERFT in hemoconcentrated SAP patients was associated with a significant increased respiratory dysfunction (and need for NPPV) and LOS even after adjustment for differences in baseline clinical severity scores (including SIRS, Glasgow, Acute Physiology and Chronic Health Evaluation II and Sequential Organ Failure Assessment scores). The most common OF is ARDS, and the onset of persistent OF is often early (with 60% in the first day of admission) [2, 45, 46]. Given that ARDS is already present or is likely to occur in the majority of patients within the first 24 h, ERFT might be expected to worsen the severity of ARDS. Patients who are hypovolemic and without significant capillary leak will likely benefit from early and rapid fluid resuscitation, but by the time capillary leak has developed (which contributes to ARDS development) additional fluids will increase interstitial fluid volume (edema) and cause worsening ARDS. In West China Hospital, it is established practice to use NPPV to manage patients with early ARDS or at risk of ARDS [34], and it is administered on the basis of standard criteria. In this study, it was found that there was an increased requirement for NPPV in patients receiving ERFT (compared with ESFT) even though the ARDS severity was comparable between these two groups.
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By avoiding invasive ventilation in the majority of patients, NPPV can be an effective way to improve gas exchange and avoid complications associated with endotracheal intubation and mechanical ventilation in selected patients with ARDS [47‐49]. It may be the most effective option for the initial treatment for all categories of ARDS secondary to AP as long as no contra-indication exists [34].
In hemoconcentrated SAP patients of our study, there was no difference in severity of ARDS [37] at ward admission between those receiving ERFT and ESFT. But there was a significantly higher rate of NPPV use in the ERFT group. This difference may be due to a significantly faster rate of fluid therapy during the first 6 h and/or a higher total fluid volume during 24 h in the ERFT group (Supplementary Fig. 3). The finding is consistent with studies which showed that rapid and high volume fluid therapy increases the risk of pulmonary edema and exacerbates respiratory failure in AP [13, 24]. Our study has several limitations. The fluid management data were collected retrospectively, and there was a lack of data for fluid given prior to admission to the general ward. The hematocrit prior to fluid therapy in ED was also not available. However, the prospective data we have collected indicate that a mean of approximately 1000 ml fluid was given in the ED prior to general ward admission. Another potential confounder in this study was that patients with hemoconcentration may not have received enough fluid, despite no difference between hemoconcentrated and non-hemoconcentrated patients in regard to time to admission and volume of fluid given. Hemoconcentrated patients had more severe disease and were therefore at greater risk of respiratory dysfunction such that ERFT may be just an association and not a cause. With this study design, it is not possible to absolutely prove that ERFT caused an increased requirement of NPPV. Lastly, this was a single-center cohort composed by high proportion of patients with a hyperlipidemia as etiology of AP [2, 35, 36], which may limit the generalizability of our findings.
In conclusion, this study has shown that ERFT in hemoconcentrated patients with SAP patients is associated with increased use of NPPV and longer LOS. This was not the case in hemoconcentrated patients with MAP and MSAP or in non-hemoconcentrated patients in all three grades of severity. Because of the risks identified in this study, a better understanding of why ERFT is associated with worse clinical outcomes in hemoconcentrated patients with SAP is important. Appropriately designed randomized clinical trials are urgently needed to determine how fluid therapy should be given in patients with predicted severe disease and hemoconcentration.
Acknowledgments
These authors thank all the staff from pancreas multidisciplinary team at West China Hospital for their continuous support. This study was supported by NZ-China Strategic Research Alliance 2016 Award (Ministry of Science and Technology, China (Grant No. 2016YFE0101800), QX, TJ, WH, XY, LD, and JG; Health Research Council, New Zealand, AP and JAW), and National Institute for Health Research Senior Investigator Award (RS).
Compliance with Ethical Standards
Conflict of interest
RS has provided consultancy to Abbot (Mylan); no further support from any organization for the submitted work; no financial relationships with any organizations that might have had an interest in the submitted work in the previous 3 years; no other relationship or activities that could appear to have influenced the submitted work.
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