| Literature DB >> 34130642 |
Wedad B Awad1, Lama Nazer2, Salam Elfarr2, Maha Abdullah2, Feras Hawari3.
Abstract
BACKGROUND: Though sepsis is common in patients with cancer, there are limited studies that evaluated sepsis and septic shock in this patient population. The objective of this study was to evaluate the outcomes and to identify predictors of mortality in cancer patients admitted to the intensive care unit (ICU) with septic shock.Entities:
Keywords: Cancer; Critical care outcomes; Intensive care units; Oncology; Sepsis; Septic shock
Year: 2021 PMID: 34130642 PMCID: PMC8207763 DOI: 10.1186/s12885-021-08452-w
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Baseline characteristics and univariate analysis
| Baseline characteristic | Value | ICU mortality | P-value | Hospital mortality | |||
|---|---|---|---|---|---|---|---|
| Alive | Dead | Alive | Dead | ||||
| 56.8 (16.1) | 57.3 | 56.3 | 0.1770 | 56.3 | 57.1 | 0.4132 | |
| 23.0 (7.91) | 21.3 | 24.9 | 0.0000 | 20.4 | 24.5 | 0.0000 | |
| 821 (58.3%) | 437 (60.7%) | 384 (55.8%) | 0.06336 | 317 (64.2%) | 504 (55.1%) | 0.00104 | |
| 0.7762 | 0.63671 | ||||||
| 229 (31.8%) | 224 (32.6%) | 163 (33.0%) | 290 (31.8%) | ||||
| Lymphoma | 191 (13.6%) | ||||||
| Leukemia | 188 (13.4%) | ||||||
| Multiple Myeloma | 66 (4.6%) | ||||||
| Others | 8 (0.6%) | ||||||
| 491 (68.2%) | 464 67.4%) | 331 (67.0%) | 624 (68.2%) | ||||
| Gastrointestinal Tumors | 248 (17.6%) | ||||||
| Breast Cancer | 143 (10.2%) | ||||||
| Lung Cancer | 138 (9.8%) | ||||||
| Gynecologic Tumors | 69 (4.9%) | ||||||
| Bladder Cancer | 60 (4.3%) | ||||||
| Prostate Cancer | 43 (3.0%) | ||||||
| Pancreatic Cancer | 34 (2.4%) | ||||||
| Renal Cell Carcinoma | 31 (2.2%) | ||||||
| Others | 176 (12.5%) | ||||||
| Unknown primary site | 13 (0.9%) | ||||||
| < 0.0001 | < 0.0001 | ||||||
| In Situ | 9 (0.6%) | 5 (0.7%) | 4 (0.6%) | 3 (0.6%) | 6 (0.7%) | ||
| Localized | 111 (7.9%) | 74 (10.3%) | 37 (5.3%) | 55 (11.1%) | 56 (6.1%) | ||
| Regional | 275 (19.5%) | 170 (23.6%) | 105 (15.3%) | 124 (25.1%) | 151 (16.5%) | ||
| Distant | 458 (32.5%) | 193 (26.8%) | 265 (38.5%) | 123 (25%) | 335 (36.7%) | ||
| Unknown (Unstaged) | 38 (2.7%) | 16 (2.2%) | 22 (3.2%) | 6 (1.2%) | 32 (3.5%) | ||
| Not applicable | 453 (32.2%) | 229 (31.8%) | 224 (32.6%) | 163 (33.0%) | 290 (31.7%) | ||
| Not available | 64 (4.5%) | 33 (4.6%) | 31 (4.5%) | 20 (4%) | 44 (4.8%) | ||
| 0.921 | 0.19771 | ||||||
| Yes | 402 (28.6%) | 206 (28.6%) | 196 (28.5%) | 151 (30.7%) | 251 (27.5%) | ||
| No | 999 (71%) | 509 (71.2%) | 490 (71.2%) | 339 (68.6%) | 660 (72.2%) | ||
| No available data | 7 (0.4%) | 5 (0.2%) | 2 (0.3%) | 4 (0.7%) | 3 (0.3%) | ||
| 0.37882 | 0.0191 | ||||||
| Yes | 631 (44.8%) | 330 (45.8%) | 301 (43.8%) | 242 (49%) | 389 (42.6%) | ||
| Not available | 117 (8.3%) | 61 (8.5%) | 56 (8.1%) | 40 (8.1%) | 77 (8.4%) | ||
| 272 (19.3%) | 142 (19.7%) | 130 (18.9%) | 0.69443 | 106 (21.5%) | 166 (18.2%) | 0.13496 | |
| 556 (39.5%) | 244 (33.9%) | 312 (45.3%) | 0.00001 | 157 (31.8%) | 399 (43.7%) | 0.00001 | |
| 591 (42%) | 230 (31.9%) | 361 (52.5%) | < 0.0001 | 138 (27.9%) | 453 (49.6%) | < 0.0001 | |
| 836 (59.4%) | 380 (52.8%) | 456 (66.3%) | < 0.0001 | 247 (50%) | 589 (64.4%) | < 0.0001 | |
| 0.37852 | 0.38032 | ||||||
| Yes | 579 (41.1%) | 323 (44.9%) | 256 (37.2%) | 228 (46.1%) | 351 (38.4%) | ||
| No | 551 (39.1%) | 293 (40.1%) | 258 (37.5%) | 203 (41.1%) | 348 (38.1%) | ||
| Not available | 278 (19.8%) | 104 (15%) | 174 (25.3%) | 63 (12.8%) | 215 (23.5%) | ||
| 0.00009 | 0.00004 | ||||||
| Yes | 195 (13.8%) | 80 (11.1%) | 115 (16.7%) | 49 (9.9%) | 146 (16%) | ||
| No | 875 (62.2%) | 494 (68.6%) | 381 (55.4%) | 359 (72.7%) | 516 (56.5%) | ||
| Not available | 338 (24%) | 146 (20.3%) | 192 (27.9%) | 86 (17.4%) | 252 (27.5%) | ||
| 0.00164 | 0.00017 | ||||||
| Yes | 918 (65.2%) | 437 (60.7%) | 481 (69.9%) | 284 (57.5%) | 634 (69.4%) | ||
| No | 370 (26.3%) | 212 (29.4%) | 158 (23%) | 155 (31.4%) | 215 (23.5%) | ||
| Not available | 120 (8.5%) | 71 (9.9%) | 49 (7.1%) | 55 (11.1%) | 65 (7.1%) | ||
Type of cultures and microorganisms
| Type of positive culture/microorganism | N (%) |
|---|---|
| Blood culture | 368 (33%) |
| Trap culture | 297 (26.6%) |
| Urine culture | 179 (16.1%) |
| Wound culture | 132 (11.8%) |
| Others | 140 (12.5%) |
| | |
| | 269 (35%) |
| | 129 (16.8%) |
| | 125 (16.3%) |
| Acinetobacter baumannii | 110 (14.3%) |
| Others | 135 (17.5%) |
| | |
| | 142 (33.7%) |
| Coagulase-negative staphylococci | 72 (17.1%) |
| Enterococcus species | 65 (15.4%) |
| Streptococcus species | 31 (7.4%) |
| Corynebacterium species | 15 (3.6%) |
| Others | 96 (22.8%) |
| | |
| Candida species | 130 (88.4%) |
| Aspergillus | 17 (11.6%) |
aEight hundred thirty-six patients had microbiologically proven infection; with a total of 1116 reported positive culture as patients could have more than one culture. Also, patients could have had more than one pathogen type in each culture type
Predictors significantly associated with mortality
| Predictor | Odds Ratio | 95% Confidence Limits | ||
|---|---|---|---|---|
| Mechanical ventilation | 2.109 | 1.682 | 2.643 | <.0001 |
| Apache II score | 1.054 | 1.039 | 1.069 | <.0001 |
| Thrombocytopenia | 1.611 | 1.285 | 2.020 | <.0001 |
| Positive culture | 1.632 | 1.301 | 2.048 | <.0001 |
| Elevated total bilirubin level | 1.940 | 1.366 | 2.757 | 0.0002 |
| Elevated lactic acid level | 1.355 | 1.009 | 1.820 | 0.0436 |
| Mechanical ventilation | 2.224 | 1.740 | 2.844 | <.0001 |
| Apache II score | 1.063 | 1.046 | 1.080 | <.0001 |
| Thrombocytopenia | 1.640 | 1.287 | 2.089 | <.0001 |
| Positive culture | 1.652 | 1.305 | 2.090 | <.0001 |
| Elevated total bilirubin level | 2.311 | 1.555 | 3.436 | <.0001 |
| Elevated lactic acid level | 1.477 | 1.095 | 1.992 | 0.0106 |