| Literature DB >> 27431667 |
John P Reilly1, Brian J Anderson2,3, Kristin M Hudock2,4,5, Thomas G Dunn2, Altaf Kazi2, Anna Tommasini2, Dudley Charles2, Michael G S Shashaty2,3, Mark E Mikkelsen2,3, Jason D Christie2,3, Nuala J Meyer2.
Abstract
BACKGROUND: Immunocompromised patients who develop sepsis while neutropenic are at high risk for morbidity and mortality; however, it is unknown if neutropenic sepsis is associated with distinct clinical and biological characteristics.Entities:
Keywords: Critical illness; Immunocompromised host; Inflammation; Neutropenia; Sepsis; Septic shock
Mesh:
Substances:
Year: 2016 PMID: 27431667 PMCID: PMC4950810 DOI: 10.1186/s13054-016-1398-y
Source DB: PubMed Journal: Crit Care ISSN: 1364-8535 Impact factor: 9.097
Fig. 1Screening and enrollment. ED emergency department, ICU intensive care unit, MESSI Molecular Epidemiology of Severe Sepsis in the ICU
Patient characteristics by neutropenia status
| Patient characteristic | Non-neutropenic (n = 694) | Neutropenic (n = 100) |
|
|---|---|---|---|
| Age | 60 ± 16 | 58 ± 12 | 0.08 |
| Male sex | 387 (56 %) | 66 (66 %) | 0.06 |
| Race | |||
| White | 380 (55 %) | 73 (73 %) | <0.01 |
| Black | 255 (37 %) | 17 (17 %) | |
| Asian | 19 (3 %) | 0 (0 %) | |
| Other/unknown | 40 (6 %) | 10 (10 %) | |
| APACHE III | 74 (59–90) | 87 (71–109) | <0.01 |
| Documented bacteremia | 182 (26 %) | 43 (43 %) | <0.01 |
| Source of infection | |||
| Pulmonary | 289 (42 %) | 40 (40 %) | 0.05 |
| Genitourinary | 82 (12 %) | 6 (6 %) | |
| Abdominal/gastrointestinal | 93 (13 %) | 15 (15 %) | |
| Head/neck | 17 (2 %) | 0 (0 %) | |
| Blood | 58 (8 %) | 15 (15 %) | |
| Skin/soft tissue/bone | 40 (6 %) | 2 (2 %) | |
| Gynecologic | 2 (0 %) | 0 (0 %) | |
| Unclear source | 113 (16 %) | 22 (22 %) | |
| Shock at presentation | 371 (53 %) | 74 (74 %) | <0.01 |
| Aminoglycoside exposure | 182 (26 %) | 65 (67 %) | <0.01 |
| IV contrast exposure | 143 (21 %) | 23 (23 %) | 0.97 |
| ICU admitting source | |||
| Emergency department | 436 (63 %) | 33 (33 %) | <0.01 |
| Hospital ward | 200 (29 %) | 64 (64 %) | |
| Other institution | 58 (8 %) | 3 (3 %) | |
| Comorbidities | |||
| Lymphoma | 45 (6 %) | 13 (13 %) | 0.02 |
| Leukemia | 33 (5 %) | 52 (52 %) | <0.01 |
| Multiple myeloma | 21 (3 %) | 10 (10 %) | <0.01 |
| Solid malignancy | 82 (12 %) | 16 (16 %) | 0.24 |
| Solid organ transplant | 50 (7 %) | 3 (3 %) | 0.08 |
| AIDS | 11 (2 %) | 2 (2 %) | 0.67 |
| Diabetes | 225 (32 %) | 19 (19 %) | <0.01 |
| Chronic renal disease | 119 (17 %) | 9 (9 %) | 0.04 |
| Congestive heart failure | 107 (15 %) | 6 (6 %) | 0.01 |
| Chronic liver disease | 81 (12 %) | 2 (2 %) | <0.01 |
| Outcomes | |||
| ARDS | 267 (38 %) | 42 (42 %) | 0.51 |
| AKI | 263 (38 %) | 58 (58 %) | <0.01 |
| 30-day mortality | 285 (41 %) | 53 (53 %) | 0.02 |
| 60-day mortality | 311 (45 %) | 60 (60 %) | <0.01 |
APACHE Acute Physiology and Chronic Health Evaluation, IV intravenous, ICU intensive care unit, AIDS acquired immune deficiency syndrome, ARDS acute respiratory distress syndrome, AKI acute kidney injury
Data are shown as n (%) for categorical variables, mean ± standard deviation for normally distributed continuous variables, and median (interquartile range) for non-normally distributed continuous variables
Normally distributed continuous variables were compared using the Student’s t test, non-normally distributed continuous variables using the Wilcoxon rank-sum test, and categorical variables using a Pearson chi-square test or Fisher’s exact test
Blood source of infection included catheter-related blood stream infections, endocarditis, and thrombophlebitis
Patients were followed for the outcomes ARDS and AKI over the first 6 days of ICU admission
Associations of neutropenia with acute respiratory distress syndrome risk, acute kidney injury risk, and mortality
| Standardized risk, % (95 % CI) | ||||||
|---|---|---|---|---|---|---|
| Outcomes | Neutropenic | Non-neutropenic | Unadjusted RR |
| Adjusted RR |
|
| ARDS | 36 % (27, 44 %) | 40 % (36, 43 %) | 1.09 (0.85, 1.40) | 0.51 | 0.90 (0.70, 1.17) | 0.42 |
| AKI | 54 % (44, 64 %) | 42 % (38, 46 %) | 1.39 (1.15, 1.69) | 0.002 | 1.28 (1.04, 1.57) | 0.03 |
| 30-day mortality | 44 % (36, 53 %) | 42 % (39, 46 %) | 1.29 (1.05, 1.58) | 0.03 | 1.05 (0.85, 1.31) | 0.65 |
| 60-day mortality | 52 % (43, 61 %) | 46 % (43, 49 %) | 1.34 (1.12, 1.60) | 0.004 | 1.13 (0.93, 1.37) | 0.23 |
CI confidence interval, RR relative risk, ARDS acute respiratory distress syndrome, AKI acute kidney injury, APACHE acute physiology and chronic health evaluation
Standardized risks and 95 % confidence intervals by neutropenic status were determined using post-estimation marginal analyses of adjusted multivariable logistic regression models
RR and 95 % confidence intervals were estimated using post-estimation marginal analyses of logistic regression models
Final ARDS logistic regression models were adjusted for age, sex, race, source of sepsis, admission source, history of chronic renal insufficiency, history of chronic liver disease, and APACHE III without immunocompromising conditions, white blood cell, and arterial blood gas components
Final AKI logistic regression models were adjusted for age, sex, race, source of sepsis, admission source, history of diabetes mellitus, history of congestive heart failure, history of chronic renal insufficiency, history of chronic liver disease, and APACHE III without immunocompromising conditions, white blood cell, and renal components
Final mortality logistic regression models were adjusted for age, sex, race, source of sepsis, admission source, history of diabetes mellitus, history of congestive heart failure, history of chronic renal insufficiency, history of chronic liver disease, and APACHE III without immunocompromising conditions and white blood cell components
Plasma protein concentrations by neutropenia status
| Total population | No exogenous G-CSF | |||||
|---|---|---|---|---|---|---|
| Plasma protein | Non-neutropenic | Neutropenic (n = 29) |
| Non-neutropenic | Neutropenic |
|
| ANG2 (pg/ml) | 8242 (4039, 16694) | 9165 (2708, 17244) | 0.65 | 8252 (3918, 16694) | 9475 (3168, 18936 | 0.68 |
| IL1RA (pg/ml) | 1269 (243, 5202) | 1049 (103, 5329) | 0.77 | 1346 (249, 3205) | 534 (198, 3717) | 0.52 |
| IL-6 (pg/ml) | 249 (76, 752) | 457 (181, 1117) | 0.03 | 249 (75, 773) | 457 (281, 1117) | 0.11 |
| IL-8 (pg/ml) | 94 (27, 600) | 581 (358, 1576) | <0.01 | 93 (27, 600) | 478 (361, 1681) | <0.01 |
| G-CSF (pg/ml) | 99 (29, 474) | 3624 (919, 10099) | <0.01 | 90 (33, 331) | 6660 (3411, 9045) | <0.01 |
G-CSF granulocyte colony-stimulating factor, ANG2 angiopoietin 2, IL1RA interleukin-1 receptor antagonist, IL-6 interleukin-6, IL-8 interleukin-8
Data are displayed as median (interquartile range)
Excluding subjects who received exogenous G-CSF within 30 days of enrollment
Plasma protein levels were compared between neutropenic and non-neutropenic using the Wilcoxon rank-sum test
Fig. 2Box and whisker plots comparing plasma (a) IL-6, (b) IL-8, (c) G-CSF, (d) ANG2, and (e) IL1RA concentration between neutropenic patients and non-neutropenic patients. IL interleukin, G-CSF granulocyte colony-stimulating factor, ANG2 angiopoietin 2, IL1RA interleukin-1 receptor antagonist