| Literature DB >> 26092499 |
Fabrice Daviaud1, David Grimaldi, Agnès Dechartres, Julien Charpentier, Guillaume Geri, Nathalie Marin, Jean-Daniel Chiche, Alain Cariou, Jean-Paul Mira, Frédéric Pène.
Abstract
BACKGROUND: Most studies about septic shock report a crude mortality rate that neither distinguishes between early and late deaths nor addresses the direct causes of death. We herein aimed to determine the modalities of death in septic shock.Entities:
Year: 2015 PMID: 26092499 PMCID: PMC4474967 DOI: 10.1186/s13613-015-0058-8
Source DB: PubMed Journal: Ann Intensive Care ISSN: 2110-5820 Impact factor: 6.925
Fig. 1Flow chart of the study. Percentages were computed from the study cohort of 543 patients
Characteristics of survivors and early (≤3 days) and late (>3 days) deceased
| Variables | All patients | Alive | Early deaths | Late deaths |
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|---|---|---|---|---|---|
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| Demographics | |||||
| Age, years | 66 ± 15 | 63 ± 16 | 70 ± 15 | 69 ± 13 | <0.0001 |
| Male gender | 346 (64) | 196 (66) | 49 (63) | 101 (61) | 0.64 |
| Comorbidities | |||||
| Malignancy | 139 (25) | 61 (20) | 32 (41) | 46 (28) | 0.0008 |
| Chronic heart failure | 126 (23) | 59 (20) | 18 (23) | 49 (29) | 0.06 |
| Chronic pulmonary disease | 103 (19) | 47 (16) | 15 (19) | 41 (25) | 0.06 |
| Diabetes mellitus | 96 (18) | 46 (15) | 22 (28) | 28 (17) | 0.03 |
| Cirrhosis | 65 (12) | 28 (9) | 9 (11) | 28 (17) | 0.06 |
| Chronic kidney failure | 60 (11) | 29 (10) | 8 (10) | 23 (14) | 0.38 |
| Factors of immunosuppression | |||||
| Chemotherapy during the last 3 months | 64 (12) | 33 (11) | 13 (17) | 18 (11) | 0.36 |
| Leuconeutropenia | 41 (7) | 21 (7) | 13 (17) | 7 (4) | 0.002 |
| Corticosteroid treatment | 91 (17) | 39 (13) | 15 (19) | 37 (22) | 0.03 |
| Other immunosuppressive drugs | 46 (8) | 19 (6) | 8 (10) | 19 (11) | 0.14 |
| HIV infection | 6 (1) | 4 (1) | 0 (0) | 2 (1) | 0.86 |
| Infection characteristics | |||||
| Healthcare-related infections | 286 (53) | 148 (49) | 44 (56) | 94 (57) | 0.26 |
| Source of infection | 0.003 | ||||
| Lung | 286 (53) | 146 (49) | 43 (55) | 97 (58) | |
| Abdominal | 91 (17) | 40 (14) | 15 (19) | 36 (22) | |
| Urinary tract | 63 (12) | 46 (15) | 6 (8) | 11 (7) | |
| Catheter | 18 (3) | 15 (5) | 1 (1) | 2 (1) | |
| Skin and soft tissue | 33 (6) | 22 (7) | 2 (3) | 9 (5) | |
| Othersa | 52 (9) | 30 (10) | 11 (14) | 11 (7) | |
| Microbiological documentation | 376 (69) | 221 (74) | 48 (61) | 107 (64) | 0.03 |
| Type of microorganismb | 0.50 | ||||
| Gram-negative bacteria | 206 (55) | 127 (58) | 26 (54) | 53 (49) | |
| Gram-positive bacteria | 151 (40) | 82 (37) | 21 (44) | 48 (44) | |
| Othersc | 19 (5) | 11 (5) | 1 (2) | 7 (6) | |
| Positive blood cultures | 166 (30) | 102 (34) | 22 (28) | 42 (25) | 0.12 |
| Admission biological findings | |||||
| Leucocytes (G/L) | 12.0 [5.6–18.7] | 11.3 [6–18.4] | 9.2 [1.7–25] | 13 [6.7–18] | 0.07 |
| Arterial blood lactate (mmol/L) | 2.9 [1.5–5.4] | 2.2 [1.4–4] | 7.8 [4.3–11.8] | 2.7 [1.4–5.9] | <0.0001 |
| Creatininemia (μmol/L) | 139 [88–215] | 129 [82–186] | 196 [127–281] | 137 [85–214] | 0.02 |
| Prognostic scoring systems | |||||
| Admission SOFA score | 9 [6–12] | 9 [5–12] | 11 [9–14] | 9 [5–12] | 0.0005 |
| Admission SAPS II | 66 [51–85] | 58 [46–80] | 86 [77–101] | 67 [53–83] | <0.0001 |
| Organ failure supports | |||||
| Mechanical ventilation | 476 (88) | 241 (81) | 77 (99) | 158 (95) | <0.0001 |
| Renal replacement therapy | 277 (51) | 101 (34) | 65 (83) | 111 (67) | <0.0001 |
| Stress-dose corticosteroids | 250 (46) | 111 (37) | 58 (74) | 81 (49) | <0.0001 |
Categorical variables are expressed as numbers (percentages) and continuous variables as mean ± SD or median [interquartile range] as appropriate. Comparisons were performed between the three subgroups (alive patients and early and late deceased)
HIV human immunodeficiency virus, SOFA Sequential Organ Failure Assessment, SAPS Simplified Acute Physiology Score
aMeningitis (n = 7), bone and joint (n = 7), endocarditis (n = 5), gynecological (n = 4), mediastinitis (n = 3), head and neck (n = 2), unknown (n = 24)
bPercentages are computed from patients with microbiological documentation
cFungi (n = 8), virus (n = 9), mycobacteria (n = 2)
Fig. 2Distribution of deaths according to time from ICU admission. Numbers of deaths are represented per day during the first 2 weeks and per week thereafter. Early (≤3 days) and late (>3 days) deaths occurred in 78 (32 %) and 166 (68 %) patients, respectively
Fig. 3Definite causes of early (a, n = 78) and late (b, n = 124) deaths in the ICU. Others (one asterisk): myocardial infarction (n = 1), pulmonary embolism (n = 1), ARDS-related refractory hypoxemia (n = 1), intestinal obstruction (n = 1). Iatrogenic complications (two asterisks): hypoxemic cardiac arrest complicating emergency endotracheal intubation (n = 3). Digestive complications (three asterisks): gastrointestinal hemorrhage (n = 2), digestive perforation (n = 3). Others (four asterisks): myocardial infarction (n = 2), lymphoma-related tumor lysis syndrome (n = 2), extensive limb ischemia (n = 1), acute liver failure (n = 1). Iatrogenic complications (five asterisks) related to chest tube insertion (n = 1), catheter insertion (n = 1), accidental removal of tracheostomy (n = 1), and cardiac arrest at the start of hemodialysis (n = 1). MOF multiple organ failure, ICU intensive care unit, ARDS acute respiratory distress syndrome
Fig. 4Prognostic factors of early- (≤3 days) and late-onset (>3 days) mortality. Results of the multivariate multinomial logistic regression analysis. All variables entered into the model are displayed on the figure. The variance inflation factor was less than or around 1 for all variables that denotes a low risk of colinearity