| Literature DB >> 34915895 |
A Ceccato1, A Russo2, E Barbeta1,3, P Oscanoa1,3, G Tiseo4, A Gabarrus1,3, P Di Giannatale5, S Nogas6, C Cilloniz1,3, F Menichetti4, M Ferrer1,3, M Niederman7, M Falcone4, A Torres8,9.
Abstract
BACKGROUND: Community-acquired pneumonia (CAP) is a leading cause of morbidity and mortality worldwide despite correct antibiotic use. Corticosteroids have long been evaluated as a treatment option, but heterogeneous effects on survival have precluded their widespread implementation. We aimed to evaluate whether corticosteroids might improve clinical outcomes in patients with severe CAP and high inflammatory responses. STUDY DESIGN AND METHODS: We analyzed two prospective observational cohorts of patients with CAP in Barcelona and Rome who were admitted to intensive care with a high inflammatory response. Propensity score (PS) matching was used to obtain balance among the baseline variables in both groups, and we excluded patients with viral pneumonia or who received hydrocortisone.Entities:
Keywords: Community-acquired pneumonia; Corticosteroids; Mortality
Mesh:
Substances:
Year: 2021 PMID: 34915895 PMCID: PMC8674860 DOI: 10.1186/s13054-021-03840-x
Source DB: PubMed Journal: Crit Care ISSN: 1364-8535 Impact factor: 9.097
Fig. 1Flowchart. CAP, community-acquired pneumonia; CRP: C-reactive protein; ICU, intensive care unit; IMV, invasive mechanical ventilation; PS, propensity score
Patient characteristics in the full cohort of patients with septic shock and/or IMV requirements and in the propensity score matching sample
| Variable | Before PS matching ( | After PS matching ( | ||||
|---|---|---|---|---|---|---|
| Corticosteroids | Corticosteroids | |||||
| No | Yes | No | Yes | |||
| Age (years), median (Q1; Q3) | 68.5 (54.5; 80) | 72 (59; 81) | 0.126 | 73 (56; 84) | 72 (59; 83) | 0.839 |
| Male sex, | 115 (43) | 68 (57) | 50 (56) | 48 (54) | 0.763 | |
| Current smoking habit, | 86 (33) | 34 (30) | 0.489 | 27 (32) | 24 (28) | 0.616 |
| Current alcohol abuse, | 37 (21) | 8 (13) | 0.190 | 10 (21) | 6 (13) | 0.273 |
| Comorbidities, | ||||||
| Diabetes mellitus | 63 (24) | 17 (14) | 15 (17) | 15 (17) | 1.000 | |
| Ischemic heart disease | 31 (18) | 21 (18) | 0.880 | 13 (15) | 13 (15) | 1.000 |
| Hypertension | 64 (38) | 56 (47) | 0.110 | 36 (40) | 37 (42) | 0.879 |
| COPD | 58 (22) | 41 (35) | 27 (30) | 27 (30) | 1.000 | |
| Cancer | 32 (12) | 25 (21) | 11 (12) | 13 (15) | 0.661 | |
| SOFA score, median (Q1; Q3) | 5 (3; 6) | 5 (4; 7) | 5 (4; 7) | 5 (3; 7) | 0.483 | |
| Pneumonia Severity Index, median (Q1; Q3) | 127.5 (107; 154.5) | 140 (119; 163) | 140 (121; 157) | 135 (116; 159) | 0.500 | |
| PaO2/FiO2 < 250, | 110 (42) | 70 (59) | 51 (44) | 51 (57) | 0.415 | |
| Altered mental status, | 83 (31) | 31 (26) | 0.296 | 39 (44) | 23 (26) | |
| Respiratory rate, median (Q1; Q3) | 28 (24; 32) | 26 (21; 30) | 0.058 | 28 (20; 35) | 25 (20; 30) | 0.276 |
| Heart rate, median (Q1; Q3) | 110 (28; 95) | 100 (81; 114) | 107 (90; 130) | 98 (85; 111) | ||
| Temperature (°C), median (Q1; Q3) | 37 (36.2; 38) | 37.4 (36.7; 38) | 0.161 | 37 (36.3; 38) | 37.4 (36.8; 38) | 0.092 |
| Creatinine (mg/dL), median (Q1; Q3) | 1.4 (1; 1.9) | 1.2 (0.8; 1.6) | 1.3 (1; 1.9) | 1.1 (0.8; 1.6) | ||
| CRP (mg/dl), median (Q1; Q3) | 29 (23.1; 37.1) | 30.3 (24.4; 44.1) | 0.274 | 29.4 (24.8; 37.3) | 30 (24.3; 43.9) | 0.961 |
| White blood cell count (109 cells/L), median (Q1; Q3) | 12.6 (7.6; 19) | 14.6 (7.9; 20.9) | 0.259 | 12.8 (6.4; 17.9) | 16 (9.2; 20.7) | 0.131 |
| Need of IMV, | 134 (52) | 50 (42) | 0.073 | 42 (50) | 32 (36) | 0.062 |
| Septic shock, | 197 (74) | 107 (90) | 74 (83) | 79 (89) | 0.281 | |
| Polymicrobial infection, | 8 (3) | 10 (8) | 4 (4) | 8 (9) | 0.232 | |
| Initial appropriate treatment, | 237 (92) | 97 (88) | 0.319 | 78 (88) | 85 (96) | 0.059 |
Boldface entries indicate statistical significance
CAP, community-acquired pneumonia; COPD, chronic obstructive pulmonary disease; CRP: C-reactive protein; DM, Diabetes mellitus; IHD, ischemic heart disease; IMV, invasive mechanical ventilation; PS, propensity score; Q1, first quartile; Q3, third quartile; SOFA: Sequential Organ Failure Assessment. Percentages calculated with non-missing data only. p values marked in bold indicate numbers that are statistically significant on the 95% confidence limit
Fig. 2Kaplan–Meier survival curve after PS matching
Outcomes in the full cohort of patients with septic shock and/or IMV requirements and in the propensity score matching sample
| Before PS matching ( | After PS matching ( | |||||
|---|---|---|---|---|---|---|
| Corticosteroids | Corticosteroids | |||||
| No | Yes | No | Yes | |||
| 28-day mortality, | 65 (24) | 24 (20) | 0.368 | 28 (31) | 16 (18) | |
| Hospital length of stay (days), median (Q1; Q3) | 17 (10; 28) | 14 (10; 25) | 0.216 | 17 (10.5; 29) | 13 (9; 20) | |
IMV, invasive mechanical ventilation; PS, propensity score; Q1, first quartile; Q3, third quartile. Percentages calculated with non-missing data only. p values marked in bold indicate numbers that are statistically significant on the 95% confidence limit