Skip to main content
Erschienen in: BMC Pulmonary Medicine 1/2020

Open Access 01.12.2020 | Research article

The association of delta neutrophil index with the prognosis of acute exacerbation of chronic obstructive pulmonary disease

verfasst von: Sunmin Park, Sang Jun Lee, Beomsu Shin, Seok Jeong Lee, Sang-Ha Kim, Woo Cheol Kwon, Jihye Kim, Myoung Kyu Lee

Erschienen in: BMC Pulmonary Medicine | Ausgabe 1/2020

Abstract

Background

Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) is associated with infective triggers including bacterial or viral in many cases, and pneumonia is a major contributor to hospitalization for AECOPD and has a close relationship with poor outcomes. Increased delta neutrophil index (DNI) can be useful in the detection of COPD patients with pneumonia.

Methods

A retrospective cohort study was performed to investigate the mortality rate of the patients who were re-admitted within 6 months after discharge from the hospital due to AECOPD with or without CAP. We analyzed the difference of cumulative survival rate according to serum DNI level and readmission duration.

Results

Finally, 140 AECOPD patients with community-acquired pneumonia (CAP) and 174 AECOPD patients without CAP were enrolled during 6 months, respectively. The mean age was 72.2 ± 9.4 year-old, and 240 patients (76.4%) were male. When comparing the cumulative survival rate according to readmission duration (≤ 30 vs >  30 days) and DNI level (< 3.5 vs ≥ 3.5%), AECOPD patients with readmission ≤30 days and DNI ≥ 3.5% showed the lowest cumulative survival rate compared to other groups (P <  0.001). Multivariate analysis revealed readmission duration ≤30 days (HR 7.879, 95% CI 4.554–13.632, P <  0.001); and serum DNI level (HR 1.086, 95% CI 1.043–1.131, P <  0.001) were significantly associated with the mortality of AECOPD patients during 6 months. The area under the curve for readmission (≤ 30 days) + DNI level (≥ 3.5%) was 0.753 (95% CI 0.676–0.830, P <  0.001) with a sensitivity of 73.7% and a specificity of 67.3%.

Conclusion

AECOPD patients who were readmitted ≤30 days and DNI ≥ 3.5% showed higher mortality. DNI level can be used as a predictor of prognosis in AECOPD patients who were readmitted after discharge.
Hinweise

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
AECOPD
Acute exacerbations of chronic obstructive pulmonary disease
BMI
Body mass index
CAP
Community-acquired pneumonia
CAT
Chronic obstructive pulmonary disease assessment test
CI
Confidence interval
DNI
Delta neutrophil index
FEV1
Forced expiratory volume in 1 s
FVC
Forced vital capacity
GOLD
Global Initiative for Chronic Obstructive Lung Disease
HR
Hazard ratio
hs-CRP
high sensitive C-reactive protein
mMRC
modified Medical Research Council
PaCO2
Arterial carbon dioxide partial pressure
PaO2
Arterial oxygen partial pressure
ROC
Receiver operating characteristic
SD
Standard deviation
WBC
White blood cell

Background

Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are major health issues in COPD patients, and are important causes of hospital admission and mortality [13]. AECOPD is diagnosed on clinical grounds, when specific symptoms (including dyspnea, increased sputum volume, and purulence) deteriorate beyond day-to-day variability, whereas severity is rated according to healthcare resource utilization [4].
The observational study showed that the readmission for AECOPD within 30 days is associated with a progressive increased long-term risk of death [5]. Nationwide study also demonstrated that 30-day readmissions after an AECOPD remain a major healthcare burden, associated with both patient and clinical factors (longer length of stay and discharge to a skilled nursing facility) [6]. Most exacerbations appear to be associated with infective triggers including bacterial or viral causatives [3]. Increased frequency of exacerbations is also significantly associated with forced expiratory volume in 1 s (FEV1) decline [7], and can thereby increase disease severity and mortality [8].
Community-acquired pneumonia (CAP) is a frequently accompanied disease [9] and is a valuable predictive factor of poor prognosis in AECOPD patients who require hospitalization [10]. AECOPD patients with pneumonia were found to use non-invasive ventilation more frequently and remain hospitalized longer than those without pneumonia [11]. Several studies have identified that old age, disease severity, and use of inhaled corticosteroids are predisposing factors better inducing CAP in COPD patients [10, 12]. There is also another problem that readmission of AECOPD patients discharged after inpatient treatment. In fact, some studies explained that about 20% were readmitted due to AECOPD within 30 days after discharge [13, 14].
The delta neutrophil index (DNI) is the immature granulocyte fraction determined by subtracting the fraction of mature polymorphonuclear leukocytes and reflects the number of immature neutrophils as a blood biomarker [15]. DNI can easily be calculated and reported without an additional cost. Recently, systematic review and meta-analysis showed that the DNI has prognostic value in adults with sepsis and high DNI values tended to be associated with mortality in septic patients [16]. Increased DNI can be useful to evaluate the prognosis of COPD patients, especially with pneumonia. However, many studies about on AECOPD patients who were readmitted after receiving inpatient treatment and discharge have not yet been published and there is no study of the relationship between DNI and AECOPD prognosis.
Therefore, we performed a retrospective cohort study to investigate the mortality rate of AECOPD patients with or without CAP who were readmitted within 6 months after discharge from the hospital. Then, we analyzed the cumulative survival rate according to serum DNI level and readmission duration of AECOPD patients.

Methods

Subjects

We conducted a retrospective study of the patients who admitted with AECOPD at Yonsei University Wonju Severance Tertiary Hospital from January 2012 to December 2016 (Fig. 1). Patients were 45 years old or older and had a smoking history of ≥10 pack-years.
The diagnostic criteria for COPD were as follows according to the GOLD guideline; a post-bronchodilator FEV1/forced vital capacity (FVC) < 70% confirms airflow limitation that is not fully reversible [1, 3]. We reviewed demographic data and comorbidities including diabetes mellitus, cardiac, liver and renal diseases and also investigated the treatments for COPD including long-acting muscarinic antagonists, beta2 agonist, and inhaled corticosteroids. We evaluated lung function via using the Korean language version of the COPD assessment test (CAT) questionnaire [17], the modified Medical Research Council (mMRC) dyspnea scale, and most recent spirometry performed before admission, respectively. The following patients were excluded; valvular heart disease, myocardial infarction, cerebral infarction or hemorrhage, asthma, untreated malignancy, and renal disease on hemodialysis.

Admission criteria

AECOPD can be diagnosed when a patient with COPD experiences a sustained (24–48 h) increase in cough, sputum production, and/or dyspnea [18]. The admission criteria of AECOPD were as follows; 1) failed response to initial medical management, 2) severe symptoms (resting dyspnea, respiratory rates ≥ 30 breaths/min, oxygen saturation ≤ 90%, confusion, or drowsiness), 3) new onset of cyanosis, peripheral edema, or 4) respiratory failure using respiratory muscles or accompanying mental changes [19].
CAP was diagnosed when the following conditions were met; 1) cough and at least one other lower respiratory tract symptom; 2) new focal chest signs on examination; 3) at least one systemic feature of sweating, fevers, aches and and/or temperature ≥ 38 °C) [20]. The causative organism was recognized when detected in sputum or bronchoalveolar lavage fluid and/or blood. Sputum specimens were recognized when > 25 leukocytes and < 10 epithelial cells per high power field [21]. We performed peripheral blood sampling within 1 hour of admission to verify white blood cell (WBC) counts, delta neutrophil index (DNI), hemoglobin, high sensitive C-reactive protein (hs-CRP) and procalcitonin. Oxygen saturation, partial pressure of oxygen (PaO2) and carbon dioxide (PaCO2) were measured on day 1.

Treatments and endpoint

We treated enrolled patients with nebulized salbutamol, ipratropium bromide, Budesonide and intravenous prednisolone in a dosage of 30 to 40 mg daily, according to GOLD guidelines [1]. Systemic corticosteroid was given during 10–14 days, and switched to an oral prednisolone on day 4–7. Antibiotics were used in patients with CAP and adjusted according to antimicrobial susceptibilities on sputum or blood culture analysis. Antibiotic therapy was initiated in basic accordance with the ATS/IDSA guidelines [22].
We investigated the mortality rate of AECOPD patients with or without CAP who were readmitted within 6 months after discharge from the hospital. We analyzed cumulative survival rate according to serum DNI level (< 3.5 vs ≥ 3.5%) and readmission duration (≤ 30 vs >  30 days) in AECOPD patients.

Statistical analysis

SPSS 24.0 (SPSS Inc.; Chicago, IL, USA) were used for statistical analysis. Chi-square or Fisher’s exact test were used for categorical variables and Student t or Mann-Whitney U test used for continuous variables. We used Cox proportional hazards regression model to estimate the survival rate during 6 months between two groups. Relative risks were expressed as hazard ratio (HR) and 95% confidence interval (CI). Cumulative survival rates were expressed using a Kaplan–Meier approach and the log-rank test. Univariate and multivariate analysis was performed to evaluate prognostic factors associated with mortality of the patients. The receiver operating characteristic (ROC) curve was utilized to assess the accuracy of different indicators for mortality of AECOPD. We compared the area under the ROC curve (AUC) according to 1) readmission duration, 2) DNI, 3) readmission duration + DNI, and 4) readmission duration + CAP. The cut-off value for DNI was set at 3.5%. Pearson’s correlation coefficients (r value) test was used for evaluating the relationship between two variables. Descriptive statistics were expressed as mean value ± standard deviation for continuous data and number (%) for categorical data. P-value less than 0.05 were considered to be statistically significant.

Results

Total subjects

During study period, 827 severe AECOPD patients were admitted to a respiratory center, and 726 patients were eligible for inclusion criteria. Eighty-five patients (47 patients with CAP and 38 patients without CAP) were dropped out because were referred to other hospitals. Finally, 140 AECOPD patients with CAP (19 patients who were readmitted within 30 days and 121 patients who were readmitted after 30 days) and 174 AECOPD patients without CAP (22 patients who were readmitted within 30 days and 152 patients who were readmitted after 30 days) were enrolled during 6 months, respectively (Fig. 1). The mean age was 72.2 ± 9.4 year-old, and 240 patients (76.4%) were male. The demographic characteristics of AECOPD patients who were readmitted between ≤30 days and > 30 days are shown in Table 1. Underlying comorbid conditions except hypertension (P = 0.042), the regular inhaled medications and spirometric results before an admission were not significantly different among four groups (Table 1).
Table 1
Characteristics of AECOPD patients with and without CAP
Characteristics
AECOPD with CAP
P-value
AECOPD without CAP
P-value
Readmission
≤ 30 days
(n = 19)
Readmission
>  30 days
(n = 121)
Readmission
≤ 30 days
(n = 22)
Readmission
>  30 days
(n = 152)
Age, y, mean (SD)
76.2 ± 7.4
72.1 ± 8.7
0.055
72.8 ± 11.1
71.8 ± 9.8
0.655
Male sex, n (%)
14 (73.7)
93 (76.9)
0.627
15 (68.2)
118 (77.6)
0.329
CAT score, mean (SD)
25.4 ± 6.8
22.7 ± 6.7
0.107
25.2 ± 5.9
22.0 ± 7.2
0.044
amMRC dyspnea scale, n (%)
 2–4
15 (78.9)
96 (79.3)
0.869
18 (81.8)
117 (77.0)
0.787
 GOLD stage, A/B/C/D, n
1/7/3/8
2/54/23/42
0.332
0/9/4/9
5/83/24/40
0.095
 GOLD C, D ratio, n (%)
11 (57.9)
65 (53.7)
0.379
13 (59.1)
64 (42.1)
0.134
 Long-term oxygen therapy
7 (36.8)
26 (21.5)
0.117
6 (9.1)
27 (17.8)
0.380
 Smoking amount, py, mean (SD)
43.1 ± 17.4
40.3 ± 15.8
0.506
45.0 ± 13.4
42.7 ± 17.8
0.604
 BMI, kg/m2
21.9 ± 2.6
21.3 ± 2.9
0.481
21.5 ± 2.8
21.9 ± 3.8
0.666
Underlying comorbid conditions, n (%)
 Hypertension
7 (36.8)
71 (58.7)
0.140
15 (68.2)
103 (67.8)
0.969
 Diabetes mellitus
12 (63.2)
59 (48.8)
0.190
8 (36.4)
71 (46.7)
0.362
 Congestive heart failure
5 (26.3)
33 (27.3)
0.855
8 (36.4)
56 (36.8)
0.965
 Chronic kidney disease
1 (5.3)
5 (4.1)
0.726
1 (4.5)
3 (2.0)
0.421
 Hepatobiliary disease
0 (0.0)
3 (2.5)
0.306
1 (4.5)
3 (2.0)
0.421
Medications before an admission, n (%)
 Inhaled corticosteroids
11 (57.9)
72 (59.5)
0.951
13 (59.1)
86 (56.6)
0.824
 Long-acting muscarinic antagonists
10 (52.6)
69 (57.0)
0.598
12 (54.5
76 (50.0)
0.690
 Long-acting beta2 agonists
11 (57.9)
62 (51.2)
0.943
9 (40.9)
83 (54.6)
0.229
Functional parameters, %, mean (SD)
 Post-bronchodilator FEV1/FVC
49.0 ± 10.3
49.45 ± 13.6
0.962
48.3 ± 13.8
52.7 ± 13.2
0.093
 Post-bronchodilator FEV1
58.7 ± 23.9
54.6 ± 21.0
0.606
55.5 ± 29.8
60.7 ± 22.5
0.217
 Post-bronchodilator FVC
78.8 ± 23.2
72.3 ± 18.9
0.387
75.3 ± 24.7
76.5 ± 20.3
0.554
 Mortality within 6 months, n (%)
15 (78.9)
19 (15.7)
< 0.001
9 (40.9)
14 (9.2)
< 0.001
AECOPD acute exacerbations of chronic obstructive pulmonary disease, BMI body mass index, CAP community-acquired pneumonia, CAT Chronic obstructive pulmonary disease assessment test, FEV1 forced expiratory volume in 1 s, FVC forced vital capacity, GOLD Global Initiative for Chronic Obstructive Lung Disease, mMRC modified Medical Research Council, n number, py pack-years, SD standard deviation, y years old
amMRC dyspnea scale consists in five statements that describe almost the entire range of dyspnea from none (grade 0) to almost complete incapacity (grade 4)

The mortality rates for AECOPD patients who were readmitted

When we investigated the mortality rate of AECOPD patients readmitted between ≤30 days and > 30 days, the mortality rate during 6 months was the highest in AECOPD with CAP group who were readmitted ≤30 days (78.9% vs. 15.7% vs. 40.9% vs. 9.2%, P <  0.001) (Table 1). The causes of mortality were as follows; 30 patients with AECOPD (5 patients with CAP readmitted ≤30 days vs. 13 with CAP readmitted > 30 days vs. 3 patients without CAP readmitted ≤30 days vs. 9 AECOPD without CAP readmitted > 30 days), 18 pneumonias (10 vs. 3 vs. 2 vs. 3), 7 sepsis (0 vs. 3 vs. 1 vs. 3) and 2 pneumothoraxes (0 vs. 0 vs. 2 vs. 2).

Laboratory and microbiologic findings

At the time of admission, oxygen saturation, PaO2, PaCO2, hemoglobin, and procalcitonin were not significantly different, but WBC count (P <  0.001), serum DNI (P <  0.001) and hs-CRP levels (P <  0.001) showed significant differences among four groups (Table 2). Mean DNI values were 9.5 ± 9.2, 5.0 ± 4.6, 2.9 ± 2.6, and 1.7 ± 2.6% respectively, and were significantly higher in AECOPD with CAP (readmitted ≤30 days) than without CAP (Fig. 2).
Table 2
Laboratory and microbiologic findings between AECOPD with and without CAP
Variables (at the time of admission)
AECOPD with CAP
P-value
AECOPD without CAP
P-value
Readmission
≤ 30 days
(n = 19)
Readmission
> 30 days
(n = 121)
Readmission
≤ 30 days
(n = 22)
Readmission
>  30 days
(n = 152)
Laboratory findings, mean ± SD
 Oxygen saturation, %
88.3 ± 8.7
88.5 ± 10.0
0.926
86.8 ± 10.6
90.6 ± 8.9
0.153
 PaO2, mm Hg
62.6 ± 15.1
62.5 ± 15.4
0.973
61.2 ± 16.5
64.4 ± 15.0
0.104
 PaCO2, mmHg
46.9 ± 30.1
38.2 ± 12.7
0.231
43.3 ± 18.5
40.1 ± 13.4
0.438
 WBC, × 103/μL
14.7 ± 6.9
13.0 ± 5.7
0.239
11.6 ± 6.4
10.2 ± 4.5
0.205
 DNI, %
9.5 ± 9.2
5.0 ± 4.6
0.049
2.9 ± 2.6
1.7 ± 2.6
0.039
 Hemoglobin, g/dL
12.0 ± 1.8
13.0 ± 1.8
0.029
12.6 ± 1.5
13.1 ± 1.9
0.198
 hs-CRP, mg/dL
16.4 ± 8.3
15.9 ± 9.4
0.839
2.3 ± 2.3
3.2 ± 5.8
0.472
aProcalcitonin, mg/dL
8.1 ± 21.2
3.8 ± 7.4
0.467
1.3 ± 3.7
1.9 ± 6.1
0.753
Microbiologic findings, n (%)
Streptococcus pneumoniae
7 (36.8)
47 (38.8)
0.868
1 (4.5)
2 (1.3)
0.335
Staphylococcus aureus
3 (15.8)
16 (13.2)
0.724
2 (9.1)
18 (11.8)
1.000
Pseudomonas aeruginosa
1 (5.3)
16 (13.2)
0.468
1 (4.5)
15 (9.9)
0.697
Klebsiella pneumoniae
2 (10.5)
5 (4.1)
0.297
1 (4.5)
10 (6.6)
1.000
bOthers
0 (0.0)
5 (4.1)
1.000
0 (0.0)
2 (1.3)
1.000
AECOPD acute exacerbations of chronic obstructive pulmonary disease, CAP community-acquired pneumonia, DNI delta neutrophil index, hs-CRP high sensitive C-reactive protein, n number, PaCO2 arterial carbon dioxide partial pressure, PaO2 arterial oxygen partial pressure, SD standard deviation, WBC white blood cell
aInitial procalcitonin results were available for 81 patients in AECOPD with CAP and 94 patients in AECOPD without CAP
bOthers were included Mycoplasma pneumoniae (2), Legionella pneumophila (1), Haemophilus influenzae (1) and Acinetobacter baumannii (1) in AECOPD with CAP, and Legionella pneumophila (1) and Haemophilus influenzae (1) in AECOPD without CAP, respectively
We identified causative organisms in 72.9% (102 out of 140) of AECOPD with CAP. Streptococcus pneumoniae was the most frequently isolated pathogen (38.6%); Staphylococcus aureus (13.6%), Pseudomonas aeruginosa (12.1%), Klebsiella pneumoniae (5.0%) and other pathogens (3.6%) were isolated, respectively (Table 2).

Cumulative survival rates according to readmission duration and serum DNI level

When we compared the cumulative survival rate of AECOPD patients according to readmission duration (≤ 30 vs > 30 days), AECOPD patients with readmission ≤30 days and CAP showed the lowest cumulative survival rate compared to other groups (P <  0.001) (Fig. 3a). When we compared the cumulative survival rate of AECOPD patients according to readmission duration (≤ 30 vs > 30 days) and DNI level (< 3.5 vs ≥ 3.5%), AECOPD patients with readmission ≤30 days and DNI ≥ 3.5% showed the lowest cumulative survival rate compared to other groups (P <  0.001) (Fig. 3b). Thus, the cumulative survival rate was lower as a serum DNI level (≥ 3.5%) was higher and readmission duration (≤ 30 days) was shorter.

Prognostic factors associated with the mortality and ROC curve

To identify risk factors associated with the mortality of AECOPD patients who were readmitted, multivariate logistic regression analysis was performed using significant variables with P value < 0.05 by univariate analysis. Multivariate analysis using factors that were found to be significant by univariate analysis revealed that readmission duration ≤30 days (HR 7.879, 95% CI 4.554–13.632, P <  0.001); and serum DNI level (HR 1.086, 95% CI 1.043–1.131, P <  0.001) were significantly associated with the mortality of AECOPD patients during 6 months (Table 3). Pearson’s correlation coefficient (r value) of DNI (%) with hs-CRP was 0.433 (P < 0.001), DNI with PCT: 0.419 (P < 0.001), % DNI with PCO2: - 0.062 (P = 0.276), respectively.
Table 3
Prognostic factors associated with the mortality of AECOPD patients readmitted within 6 months
Variables
Univariate (mortality)
Multivariate (mortality)
95% CI
HR
P-value
95% CI
HR
P-value
Demographic
 GOLD group C-D
1.195, 3.549
2.060
0.009*
0.792, 2.863
1.506
0.212
 Smoking amounts, py
0.995, 1.024
1.009
0.218
   
 Long-term oxygen therapy
0.261, 0.775
0.450
0.004*
0.303, 1.107
0.580
0.098
 Readmission ≤30 d
6.679, 27.005
13.430
< 0.001*
4.554, 13.632
7.879
< 0.001*
Functional & laboratory
 Post-bronchodilator FEV1
0.977, 1.003
0.990
0.120
   
 WBC, /μL
1.000, 1.000
1.000
0.085
   
 DNI, %
1.064, 1.133
1.098
< 0.001*
1.043, 1.131
1.086
< 0.001*
 hs-CRP, mg/dL
1.003, 1.048
1.025
0.029*
0.978, 1.032
1.005
0.736
*Indicates significance in univariate and multivariate analysis (P < 0.05)
AECOPD acute exacerbations of chronic obstructive pulmonary disease, CI confidence interval, DNI delta neutrophil index, d days, GOLD Global Initiative for Chronic Obstructive Lung Disease, FEV1 forced expiratory volume in 1 s, hs-CRP high sensitive C-reactive protein, HR hazard ratio, py pack-years, WBC white blood cell
The AUC for readmission duration (≤ 30 days) + DNI level (≥ 3.5%) was 0.753 (95% CI 0.676–0.830, P < 0.001) with a sensitivity of 73.7% and a specificity of 67.3%; AUC for readmission duration + CAP 0.678 (95% CI 0.597–0.758), readmission duration 0.677 (95% CI 0.590–0.765), and DNI 0.654 (95% 0.573–0.735), respectively (Fig. 4).

Discussion

The most important point in this study was that AECOPD with CAP group who were readmitted ≤30 days and DNI ≥ 3.5% showed the lowest cumulative survival rate compared to the other groups. ROC curve demonstrated that DNI (≥ 3.5%) with readmission duration (≤ 30 days) can affect the mortality of AECOPD patients who were readmitted.
Currently, initial DNI with serum WBC and CRP which are commonly used markers is known to be useful for predicting inflammation and infection [23]. DNI, the difference between the leukocyte differentials measured in cytochemical myeloperoxidase channel and those assayed in the nuclear lobularity channel, reflects the fraction of circulating immature granulocytes [24, 25]. Previous study reported that granulocyte precursors less mature than bands can be a better predictor of infection than band neutrophil counts [26]. The diagnostic value of DNI (reflecting the fraction of circulating immature granulocytes) was superior to WBC, absolute neutrophil count or other widely available laboratory markers for severe sepsis/septic shock [25].
Many clinicians have studied the usefulness of blood biomarkers such as CRP and procalcitonin for early assessment of sepsis. Recently, systematic review and meta-analysis showed that the DNI has prognostic value in adults with sepsis and high DNI values tend to be associated with mortality in septic patients [15]. Several studies have been reported to use DNI for the diagnosis or prognosis of other infectious diseases including pneumonia, pulmonary tuberculosis, and acute prostatitis [23, 27, 28]. However, there are no reports on the usefulness of DNI in COPD patients. In our paper, we focused on the AECOPD patients who readmitted within 180 days of discharge.
The observational study showed that the readmission for AECOPD within 30 days is associated with a progressive increased long-term risk of death [5]. In this study, ROC curve showed that DNI was a useful biologic marker for predicting the mortality rate of AECOPD in addition to readmission within 30 days. DNI levels were higher in AECOPD with CAP patients than without CAP. This indicates that DNI levels are associated with infection even in AECOPD. However, the mortality rate was the highest in patients readmitted within 30 days, suggesting that readmission within 30 days had a greater impact on prognosis than DNI level.
Readmission within 30 days and serum DNI level were significantly associated with the mortality of readmitted AECOPD patients when we analyzed the risk factors using multivariate analysis. And when the cut off value of DNI level is set to 3.5%, readmission duration (≤ 30 days) and serum DNI level (≥ 3.5%) have shown to be more useful in predicting mortality than readmission duration (≤ 30 days) and CAP in ROC curve analysis.
Unfortunately, there are no studies showing the usefulness of DNI in AECOPD patients so far and it was a problem to determine the cutoff value of DNI to predict prognosis. Previous study [29] have shown that the DNI value of sepsis patients was 3.4% and our study confirmed that mean DNI value of AECOPD patients was 3.5%, so we set the cutoff value of DNI to 3.5%. Figure 3 also showed that AECOPD patients with readmission ≤30 days and DNI ≥ 3.5% showed significantly lower cumulative survival rate compared to other groups.
We considered why DNI levels are associated with mortality in AECOPD patients who were rehospitalized. Another study showed that DNI level at 72 h significantly correlated with mortality in patients with bacteremia [30], and increased DNI values at the time admission were significantly associated with severe sepsis/septic shock and overt disseminated intravascular coagulation (DIC) and the elevation of DNI value preceded the onset of organ/circulatory failure [25]. Our study showed that DNI levels were higher in AECOPD patients with CAP although we couldn’t confirm whether sepsis was associated with CAP. Patients with CAP are expected to have more patients with DIC, systemic inflammatory response syndrome or sepsis, which may have affected early readmission and mortality after discharge. However, there is no definitive study of the mechanism by which DNI affects mortality, and additional studies are needed.
We have some limitations in this study. First, the present study was performed in a single institution, selection bias may have influenced the significance of the present findings although the criteria of hospitalization were established, and thus a multicenter study is required to validate the results. Second, we did not accurately assess the patients with SIRS or sepsis in this study so could not clearly explain the reason for increased DNI in patients with CAP. In addition, there is no clear reason for why mortality is higher in the increased-DNI group in patients with early readmission and further research is needed. Third, DNI alone has weak predictive power against mortality in AUC curve and increases predictability when accompanied by early readmission in AECOPD patients. These results suggest that biologic markers such as DNI still have difficulties in predicting the mortality of AECOPD patients and should be considered with clinical factors such as early readmission.
However, this study is meaningful to confirm the higher mortality rate in the increased DNI group with early readmission among AECOPD patients who were readmitted.

Conclusions

Our study showed that AECOPD with CAP group who were readmitted ≤30 days and DNI ≥ 3.5% showed higher mortality during 6 months compared to the other groups. DNI level can be used as a predictor of prognosis in AECOPD patients who were readmitted after discharge, further investigation will be necessary.

Acknowledgements

Not applicable.
Research was conducted in compliance with the requirements and under the authorization of the Yonsei University Wonju Severance Christian Hospital Institutional Review Board (IRB No. CR312009).
Not applicable.

Competing interests

The authors declare that they have no competing interests.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Vestbo J, Hurd SS, Agustí AG, Jones PW, Vogelmeier C, Anzueto A, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med. 2013;187(4):347–65.CrossRef Vestbo J, Hurd SS, Agustí AG, Jones PW, Vogelmeier C, Anzueto A, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med. 2013;187(4):347–65.CrossRef
2.
Zurück zum Zitat Wedzicha JA, Seemungal TAR. COPD exacerbations: defining their cause and prevention. Lancet. 2007;370:786–96.CrossRef Wedzicha JA, Seemungal TAR. COPD exacerbations: defining their cause and prevention. Lancet. 2007;370:786–96.CrossRef
3.
Zurück zum Zitat Wedzicha JA, Brill SE, Allinson JP, Donaldson GC. Mechanisms and impact of the frequent exacerbator phenotype in chronic obstructive pulmonary disease. BMC Med. 2013;11:181.CrossRef Wedzicha JA, Brill SE, Allinson JP, Donaldson GC. Mechanisms and impact of the frequent exacerbator phenotype in chronic obstructive pulmonary disease. BMC Med. 2013;11:181.CrossRef
4.
Zurück zum Zitat Celli BR, MacNee W. Standards for the diagnosis and treatment of patients with COPD: a summary of the ATS/ERS position paper. Eur Respir J. 2004;23(6):932–46.CrossRef Celli BR, MacNee W. Standards for the diagnosis and treatment of patients with COPD: a summary of the ATS/ERS position paper. Eur Respir J. 2004;23(6):932–46.CrossRef
5.
Zurück zum Zitat Guerrero M, Crisafulli E, Liapikou A, Huerta A, Gabarrús A, Chetta A, et al. Readmission for acute exacerbation within 30 days of discharge is associated with a subsequent progressive increase in mortality risk in COPD patients: a long-term observational study. PLoS One. 2016;11:e0150737.CrossRef Guerrero M, Crisafulli E, Liapikou A, Huerta A, Gabarrús A, Chetta A, et al. Readmission for acute exacerbation within 30 days of discharge is associated with a subsequent progressive increase in mortality risk in COPD patients: a long-term observational study. PLoS One. 2016;11:e0150737.CrossRef
6.
Zurück zum Zitat Jacobs DM, Noyes K, Zhao J, Gibson W, Murphy TF, Sethi S, et al. Early hospital readmissions after an acute exacerbation of chronic obstructive pulmonary disease in the Nationwide readmissions database. Ann Am Thorac Soc. 2018;15(7):837–45.CrossRef Jacobs DM, Noyes K, Zhao J, Gibson W, Murphy TF, Sethi S, et al. Early hospital readmissions after an acute exacerbation of chronic obstructive pulmonary disease in the Nationwide readmissions database. Ann Am Thorac Soc. 2018;15(7):837–45.CrossRef
7.
Zurück zum Zitat Donaldson GC, Seemungal TA, Bhowmik A, Wedzicha JA. Relationship between exacerbation frequency and lung function decline in chronic obstructive pulmonary disease. Thorax. 2002;57(10):847–52.CrossRef Donaldson GC, Seemungal TA, Bhowmik A, Wedzicha JA. Relationship between exacerbation frequency and lung function decline in chronic obstructive pulmonary disease. Thorax. 2002;57(10):847–52.CrossRef
8.
Zurück zum Zitat Schmidt SA, Johansen MB, Olsen M, Xu X, Parker JM, Molfino NA, et al. The impact of exacerbation frequency on mortality following acute exacerbations of COPD: a registry-based cohort study. BMJ Open. 2014;4(12):e006720.CrossRef Schmidt SA, Johansen MB, Olsen M, Xu X, Parker JM, Molfino NA, et al. The impact of exacerbation frequency on mortality following acute exacerbations of COPD: a registry-based cohort study. BMJ Open. 2014;4(12):e006720.CrossRef
9.
Zurück zum Zitat Yamauchi Y, Yasunaga H, Matsui H, Hasegawa W, Jo T, Takami K, et al. Comparison of clinical characteristics and outcomes between aspiration pneumonia and community-acquired pneumonia in patients with chronic obstructive pulmonary disease. BMC Pulm Med. 2015;15:69.CrossRef Yamauchi Y, Yasunaga H, Matsui H, Hasegawa W, Jo T, Takami K, et al. Comparison of clinical characteristics and outcomes between aspiration pneumonia and community-acquired pneumonia in patients with chronic obstructive pulmonary disease. BMC Pulm Med. 2015;15:69.CrossRef
10.
Zurück zum Zitat Lu Z, Cheng Y, Tu X, Chen L, Chen H, Yang J, et al. Community-acquired pneumonia and survival of critically ill acute exacerbation of COPD patients in respiratory intensive care units. Int J Chron Obstruct Pulmon Dis. 2016;11:1867–72.CrossRef Lu Z, Cheng Y, Tu X, Chen L, Chen H, Yang J, et al. Community-acquired pneumonia and survival of critically ill acute exacerbation of COPD patients in respiratory intensive care units. Int J Chron Obstruct Pulmon Dis. 2016;11:1867–72.CrossRef
11.
Zurück zum Zitat Andreassen SL, Liaaen ED, Stenfors N, Henriksen AH. Impact of pneumonia on hospitalizations due to acute exacerbations of COPD. Clin Respir J. 2014;8(1):93–9.CrossRef Andreassen SL, Liaaen ED, Stenfors N, Henriksen AH. Impact of pneumonia on hospitalizations due to acute exacerbations of COPD. Clin Respir J. 2014;8(1):93–9.CrossRef
12.
Zurück zum Zitat Festic E, Scanlon PD. Incident pneumonia and mortality in patients with chronic obstructive pulmonary disease. A double effect of inhaled corticosteroids? Am J Respir Crit Care Med. 2015;191(2):141–8.CrossRef Festic E, Scanlon PD. Incident pneumonia and mortality in patients with chronic obstructive pulmonary disease. A double effect of inhaled corticosteroids? Am J Respir Crit Care Med. 2015;191(2):141–8.CrossRef
13.
Zurück zum Zitat Baker CL, Zou KH, Su J. Risk assessment of readmissions following an initial COPD-related hospitalization. Int J Chron Obstruct Pulmon Dis. 2013;8:551–9.PubMedPubMedCentral Baker CL, Zou KH, Su J. Risk assessment of readmissions following an initial COPD-related hospitalization. Int J Chron Obstruct Pulmon Dis. 2013;8:551–9.PubMedPubMedCentral
14.
Zurück zum Zitat Nantsupawat T, Limsuwat C, Nugent K. Factors affecting chronic obstructive pulmonary disease early rehospitalization. Chron Respir Dis. 2012 May;9(2):93–8.CrossRef Nantsupawat T, Limsuwat C, Nugent K. Factors affecting chronic obstructive pulmonary disease early rehospitalization. Chron Respir Dis. 2012 May;9(2):93–8.CrossRef
15.
Zurück zum Zitat Nahm CH, Choi JW, Lee J. Delta neutrophil index in automated immature granulocyte counts for assessing disease severity of patients with sepsis. Ann Clin Lab Sci. 2008;38(3):241–6.PubMed Nahm CH, Choi JW, Lee J. Delta neutrophil index in automated immature granulocyte counts for assessing disease severity of patients with sepsis. Ann Clin Lab Sci. 2008;38(3):241–6.PubMed
16.
Zurück zum Zitat Ahn C, Kim W, Lim TH, Cho Y, Choi KS, Jang BH. The delta neutrophil index (DNI) as a prognostic marker for mortality in adults with sepsis: a systematic review and meta-analysis. Sci Rep. 2018;8(1):6621.CrossRef Ahn C, Kim W, Lim TH, Cho Y, Choi KS, Jang BH. The delta neutrophil index (DNI) as a prognostic marker for mortality in adults with sepsis: a systematic review and meta-analysis. Sci Rep. 2018;8(1):6621.CrossRef
17.
Zurück zum Zitat Hwang YI, Jung KS, Lim SY, Lee YS, Kwon NH. A validation study for the Korean version of chronic obstructive pulmonary disease assessment test (CAT). Tuberc Respir Dis (Seoul). 2013;74:256–63.CrossRef Hwang YI, Jung KS, Lim SY, Lee YS, Kwon NH. A validation study for the Korean version of chronic obstructive pulmonary disease assessment test (CAT). Tuberc Respir Dis (Seoul). 2013;74:256–63.CrossRef
18.
Zurück zum Zitat MacIntyre N, Huang YC. Acute exacerbations and respiratory failure in chronic obstructive pulmonary disease. Proc Am Thorac Soc. 2008;5(4):530–5.CrossRef MacIntyre N, Huang YC. Acute exacerbations and respiratory failure in chronic obstructive pulmonary disease. Proc Am Thorac Soc. 2008;5(4):530–5.CrossRef
19.
Zurück zum Zitat Crisafulli E, Barbeta E, Ielpo A, Torres A. Management of severe acute exacerbations of COPD: an updated narrative review. Multidiscip Respir Med. 2018;13:36.CrossRef Crisafulli E, Barbeta E, Ielpo A, Torres A. Management of severe acute exacerbations of COPD: an updated narrative review. Multidiscip Respir Med. 2018;13:36.CrossRef
20.
Zurück zum Zitat Lim WS, Baudouin SV, George RC, Hill AT, Jamieson C, Le Jeune I, et al. BTS guidelines for the management of community acquired pneumonia in adults: update 2009. Thorax. 2009;64:iii1–55.CrossRef Lim WS, Baudouin SV, George RC, Hill AT, Jamieson C, Le Jeune I, et al. BTS guidelines for the management of community acquired pneumonia in adults: update 2009. Thorax. 2009;64:iii1–55.CrossRef
21.
Zurück zum Zitat Müller B, Harbarth S, Stolz D, Bingisser R, Mueller C, Leuppi J, et al. Diagnostic and prognostic accuracy of clinical and laboratory parameters in community-acquired pneumonia. BMC Infect Dis. 2007;7:10.CrossRef Müller B, Harbarth S, Stolz D, Bingisser R, Mueller C, Leuppi J, et al. Diagnostic and prognostic accuracy of clinical and laboratory parameters in community-acquired pneumonia. BMC Infect Dis. 2007;7:10.CrossRef
22.
Zurück zum Zitat Mandell LA, Wunderink RG, Anzueto A, Bartlett JG, Campbell GD, Dean NC, et al. Infectious Diseases Society of America/American Thoracic Society consensus guidelines on the management of community-acquired pneumonia in adults. Clin Infect Dis. 2007;44:S27–72.CrossRef Mandell LA, Wunderink RG, Anzueto A, Bartlett JG, Campbell GD, Dean NC, et al. Infectious Diseases Society of America/American Thoracic Society consensus guidelines on the management of community-acquired pneumonia in adults. Clin Infect Dis. 2007;44:S27–72.CrossRef
23.
Zurück zum Zitat Cha YS, Lee KH, Lee JW, Kwon W, Lee SJ, Kang KS, et al. The usefulness of the Delta neutrophil index for predicting superimposed pneumonia in patients with acute decompensated heart failure in the emergency department. PLoS One. 2016;11(9):e0163461.CrossRef Cha YS, Lee KH, Lee JW, Kwon W, Lee SJ, Kang KS, et al. The usefulness of the Delta neutrophil index for predicting superimposed pneumonia in patients with acute decompensated heart failure in the emergency department. PLoS One. 2016;11(9):e0163461.CrossRef
24.
Zurück zum Zitat Kratz A, Maloum K, O’Malley C, Zini G, Rocco V, Zelmanovic D, et al. Enumeration of nucleated red blood cells with the ADVIA 2120 hematology system: an international multicenter clinical trial. Lab Hematol. 2006;12(2):63–70.CrossRef Kratz A, Maloum K, O’Malley C, Zini G, Rocco V, Zelmanovic D, et al. Enumeration of nucleated red blood cells with the ADVIA 2120 hematology system: an international multicenter clinical trial. Lab Hematol. 2006;12(2):63–70.CrossRef
25.
Zurück zum Zitat Park BH, Kang YA, Park MS, Jung WJ, Lee SH, Lee SK, et al. Delta neutrophil index as an early marker of disease severity in critically ill patients with sepsis. BMC Infect Dis. 2011;11:299.CrossRef Park BH, Kang YA, Park MS, Jung WJ, Lee SH, Lee SK, et al. Delta neutrophil index as an early marker of disease severity in critically ill patients with sepsis. BMC Infect Dis. 2011;11:299.CrossRef
26.
Zurück zum Zitat Ardron MJ, Westengard JC, Dutcher TF. Band neutrophil counts are unnecessary for the diagnosis of infection in patients with normal total leukocyte counts. Am J Clin Pathol. 1994;102(5):646–9.CrossRef Ardron MJ, Westengard JC, Dutcher TF. Band neutrophil counts are unnecessary for the diagnosis of infection in patients with normal total leukocyte counts. Am J Clin Pathol. 1994;102(5):646–9.CrossRef
27.
Zurück zum Zitat Jhun BW, Sim YS, Shin TR, Kim DG. The utility of delta neutrophil index in differentiation of pulmonary tuberculosis from community acquired pneumonia. Sci Rep. 2018;8(1):12343.CrossRef Jhun BW, Sim YS, Shin TR, Kim DG. The utility of delta neutrophil index in differentiation of pulmonary tuberculosis from community acquired pneumonia. Sci Rep. 2018;8(1):12343.CrossRef
28.
Zurück zum Zitat Ahn HK, Koo KC, Chung BH, Lee KS. Comparison of the delta neutrophil index with procalcitonin, erythrocyte sedimentation rate, and C-reactive protein as predictors of sepsis in patients with acute prostatitis. Prostate Int. 2018;6(4):157–61.CrossRef Ahn HK, Koo KC, Chung BH, Lee KS. Comparison of the delta neutrophil index with procalcitonin, erythrocyte sedimentation rate, and C-reactive protein as predictors of sepsis in patients with acute prostatitis. Prostate Int. 2018;6(4):157–61.CrossRef
29.
Zurück zum Zitat Seok Y, Choi JR, Kim J, Kim YK, Lee J, Song J, et al. Delta neutrophil index: a promising diagnostic and prognostic marker for sepsis. Shock. 2012;37(3):242–6.CrossRef Seok Y, Choi JR, Kim J, Kim YK, Lee J, Song J, et al. Delta neutrophil index: a promising diagnostic and prognostic marker for sepsis. Shock. 2012;37(3):242–6.CrossRef
30.
Zurück zum Zitat Kim HW, Ku S, Jeong SJ, Jin SJ, Han SH, Choi JY, et al. Delta neutrophil index: could it predict mortality in patients with bacteraemia? Scand J Infect Dis. 2012;44(7):475–80.CrossRef Kim HW, Ku S, Jeong SJ, Jin SJ, Han SH, Choi JY, et al. Delta neutrophil index: could it predict mortality in patients with bacteraemia? Scand J Infect Dis. 2012;44(7):475–80.CrossRef
Metadaten
Titel
The association of delta neutrophil index with the prognosis of acute exacerbation of chronic obstructive pulmonary disease
verfasst von
Sunmin Park
Sang Jun Lee
Beomsu Shin
Seok Jeong Lee
Sang-Ha Kim
Woo Cheol Kwon
Jihye Kim
Myoung Kyu Lee
Publikationsdatum
01.12.2020
Verlag
BioMed Central
Erschienen in
BMC Pulmonary Medicine / Ausgabe 1/2020
Elektronische ISSN: 1471-2466
DOI
https://doi.org/10.1186/s12890-020-1083-4

Weitere Artikel der Ausgabe 1/2020

BMC Pulmonary Medicine 1/2020 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Update Innere Medizin

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