| Literature DB >> 34856971 |
Chun-Mei Feng1, Xin-Ming Wang2, Meng-Die Li1, Zheng Xu1, Dong-Xu Hua1, Jia-Yi Cheng1, Ling Zheng1, Hui Zhao3, Lin Fu4.
Abstract
BACKGROUND: Some studies previously demonstrated that interleukin-17 (IL-17) involves in pulmonary diseases progression. Nevertheless, the role of IL-17 in community-acquired pneumonia (CAP) remains unknown. This study aims to examine the correlations between serum IL-17 with the severity and prognosis in CAP patients through a prospective cohort study.Entities:
Keywords: Biomarker; CAP severity scores; Community-acquired pneumonia; Interleukin-17; Prognosis
Mesh:
Substances:
Year: 2021 PMID: 34856971 PMCID: PMC8637026 DOI: 10.1186/s12890-021-01770-6
Source DB: PubMed Journal: BMC Pulm Med ISSN: 1471-2466 Impact factor: 3.317
Demographic characteristics of participators at baseline
| Variables | CAP (n = 239) |
|---|---|
| Age (years) | 61.09 ± 1.14 |
| Female, n (%) | 96 (40.17) |
| BMI | 22.45 ± 0.33 |
| Smoking, n (%) | 42 (17.57) |
| ICU admission, n (%) | 71 (29.71) |
| ICU stay (days) | 3.21 ± 0.65 |
| Hypertension, n (%) | 64 (26.78) |
| Diabetes mellitus, n (%) | 22 (9.21) |
| Cerebral infarction, n (%) | 20 (8.37) |
| Coronary heart disease, n (%) | 11 (4.60) |
| Bronchitis, n (%) | 19 (7.95) |
| Other disease, n (%) | 78 (32.64) |
| White blood cell (109/L) | 8.26 ± 0.27 |
| Neutrophil (109/L) | 7.79 ± 0.75 |
| Lymphocyte (109/L) | 2.00 ± 0.40 |
| Monocyte (109/L) | 0.60 ± 0.04 |
| Eosinophil (109/L) | 0.11 ± 0.01 |
| Basophil (109/L) | 0.16 ± 0.07 |
| Alanine aminotransferase (U/L) | 23.00 (15.00, 42.00) |
| Alanine transaminase (U/L) | 25.50 (18.00, 39.50) |
| Urea nitrogen (mmol/L) | 5.25 (3.74, 7.20) |
| Creatinine (μmol/L) | 63.00 (48.00, 83.25) |
| Uric acid (μmol/L) | 259.50 (194.50, 347.25) |
| Creatine kinase (U/L) | 68.00 (37.00, 114.00) |
| Creatine kinase isoenzyme (U/L) | 13.00 (8.00, 20.00) |
| Lactate dehydrogenase (U/L) | 211.00 (157.00, 294.00) |
| Cardiac troponin I (ng/mL) | 0.02 (0.01, 0.05) |
| Myoglobin (ng/mL) | 43.20 (28.25, 96.50) |
| 0–1 | 148 (61.93) |
| 2 | 50 (20.92) |
| 3–5 | 41(17.16) |
| 0 | 84 (35.15) |
| 1–2 | 128 (53.56) |
| ≥ 3 | 27 (11.30) |
| I (< 50) | 54 (22.59) |
| II (51–70) | 61 (25.52) |
| III(71–90) | 55 (23.01) |
| IV (91–130) | 48 (20.08) |
| V (> 130) | 21 (8.79) |
| Mild | 173 (72.39) |
| Severe | 66 (27.62) |
| 0–2 | 174 (72.80) |
| 3–4 | 18 (7.53) |
| 5–6 | 33 (13.81) |
| 7–8 | 14 (5.86) |
| ≤ 4 | 84 (35.15) |
| 4–6 | 52 (21.75) |
| 6–10 | 53 (22.18) |
| ≥ 10 | 50 (20.92) |
BMI, Body Mass Index; ICU, intensive care unit; PSI, Pneumonia Severity Index; APACHE II, acute physiology and chronic health evaluation II; CURB-65, acronym for confusion, urea, respiratory rate, blood pressure and age ≥ 65; CRB-65, acronym for confusion, respiratory rate, blood pressure and age ≥ 65; CURXO, acronym for confusion, urea, respiratory rate, X-ray and oxygen; SMART-COP, acronym for systolic blood pressure, multilobar infiltrates, albumin, respiratory rate, tachycardia, confusion, oxygen and pH
Fig. 1The levels of serum IL-17 in CAP patients with different severity scores. A–F The levels of serum IL-17 in CAP patients with different severity scores. A CRB-65 score. B SMART-COP score. C APACHE II score. D CURB-65 score. E CURXO score. F PSI score. All data were expressed as mean ± SEM. *P < 0.05, **P < 0.01
Associations between serum IL-17 and clinical characteristics in CAP patients
| Variables | WBC | Neutrophil | Lymphocyte | Monocytes | Eosinophil | Basophil |
|---|---|---|---|---|---|---|
| 0.28 | 0.31 | − 0.13 | 0.06 | − 0.12 | 0.02 | |
| < 0.01 | < 0.01 | 0.02 | 0.20 | 0.04 | 0.39 |
Associations between serum IL-17 and CAP severity scores in CAP patients
| Variables | Univariable, OR (95% CI) | Multivariablea, OR (95% CI) | ||
|---|---|---|---|---|
| 0–1 | 1 | – | 1 | – |
| 3–4 | 9.16 (3.16, 26.57) | < 0.01 | 8.93 (3.00, 26.55) | < 0.01 |
| 5–6 | 4.39 (1.90, 10.12) | < 0.01 | 3.63 (1.53, 8.62) | < 0.01 |
| 7–8 | 23.50 (6.07, 90.95) | < 0.01 | 18.12 (4.50, 72.99) | < 0.01 |
| < 4 | 1 | – | 1 | – |
| 4–6 | 0.95 (0.36, 2.47) | 0.91 | 0.84 (0.30, 2.37) | 0.74 |
| 6–10 | 1.47 (0.60, 3.60) | 0.40 | 1.26 (0.47, 3.39) | 0.64 |
| > 10 | 5.30 (2.32, 12.09) | < 0.01 | 4.03 (1.57, 10.30) | < 0.01 |
| 0 | 1 | – | 1 | – |
| 1–2 | 1.74 (0.84, 3.58) | 0.14 | 1.29 (0.57, 2.91) | 0.55 |
| ≥ 3 | 4.79 (1.83, 12.51) | < 0.01 | 3.32 (1.18, 9.35) | 0.02 |
| 0–1 | 1 | – | 1 | – |
| 2 | 3.37(1.58, 7.21) | < 0.01 | 2.80 (1.27, 6.18) | 0.01 |
| 3 ~ 5 | 5.38 (2.47, 11.75) | < 0.01 | 4.11 (1.78, 9.53) | < 0.01 |
| I | 1 | – | 1 | – |
| II | 1.75 (0.60, 5.15) | 0.31 | 1.50 (0.46, 4.90) | 0.50 |
| III | 1.75 (0.58, 5.23) | 0.32 | 1.36 (0.38, 3.93) | 0.64 |
| IV | 3.11 (1.08, 8.96) | 0.04 | 2.40 (0.67, 8.67) | 0.18 |
| V | 22.00 (5.86, 82.65) | < 0.01 | 15.41 (3.34, 70.03) | < 0.01 |
| Mild | 1 | – | 1 | – |
| Severe | 5.98 (3.10, 11.53) | < 0.01 | 5.01 (2.55, 9.86) | < 0.01 |
aAdjusted for age and sex
Fig. 2The levels of serum IL-17 in CAP patients with different prognostic outcomes. A–E The levels of serum IL-17 in CAP patients with different prognostic outcomes during hospitalizations. A Mechanical ventilation. B Vasoactive agent. C ICU admission. D Lengths of hospital stay. E Death. All data were expressed as mean ± SEM. *P < 0.05, **P < 0.01
Associations between serum IL-17 and the prognosis in CAP patients
| Univariable (95% CI) | Multivariable (95% CI)a | |||
|---|---|---|---|---|
| ICU admission | 1.01 (1.00, 1.02) | < 0.01 | 1.01 (1.00, 1.00) | 0.01 |
| Mechanical ventilation | 1.12 (1.01, 1.42) | < 0.01 | 1.10 (1.05, 1.37) | 0.02 |
| Vasoactive agent | 1.00 (1.00, 1.01) | 0.09 | 1.00 (1.00, 1.01) | 0.18 |
| Death | 1.05 (1.00, 1.17) | < 0.01 | 1.05 (1.00, 1.14) | < 0.01 |
| ≤ 8 | 1 | – | 1 | – |
| 8–14 | 1.01 (1.00, 1.01) | 0.08 | 1.00 (1.00, 1.01) | 0.13 |
| ≥ 14 | 1.21 (1.00, 1.51) | 0.03 | 1.21(1.04, 1.57) | 0.01 |
aAdjusted for age and sex
Fig. 3Receiver operating characteristic curves for prognosis in CAP patients. A ROC curve was used to evaluate the predictive values for death of different biomarkers among CAP patients. B ROC curve was used to evaluate the predictive values for ICU admission of different biomarkers among CAP patients. C ROC curve was used to evaluate the predictive values for mechanical ventilation of different biomarkers among CAP patients. D ROC curve was used to evaluate the predictive values for hospital stays of different biomarkers among CAP patients