| Literature DB >> 32941862 |
David R Janz1, Scott Mackey2, Nirav Patel3, Beau P Saccoccia4, Michelle St Romain4, Bethany Busack4, Hayoung Lee4, Lana Phan4, Jordan Vaughn4, David Feinswog5, Ryan Chan5, Lauren Auerbach4, Nicholas Sausen4, Joseph Grace5, Marian Sackey4, Anushka Das5, Angellica O Gordon5, Jennifer Schwehm3, Robin McGoey3, Kyle I Happel6, Stephen P Kantrow6.
Abstract
BACKGROUND: Characteristics of critically ill adults with coronavirus disease 2019 (COVID-19) in an academic safety net hospital and the effect of evidence-based practices in these patients are unknown. RESEARCH QUESTION: What are the outcomes of critically ill adults with COVID-19 admitted to a network of hospitals in New Orleans, Louisiana, and what is an evidence-based protocol for care associated with improved outcomes? STUDY DESIGN AND METHODS: In this multi-center, retrospective, observational cohort study of ICUs in four hospitals in New Orleans, Louisiana, we collected data on adults admitted to an ICU and tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) between March 9, 2020 and April 14, 2020. The exposure of interest was admission to an ICU that implemented an evidence-based protocol for COVID-19 care. The primary outcome was ventilator-free days.Entities:
Keywords: ARDS; COVID-19; critical care
Mesh:
Year: 2020 PMID: 32941862 PMCID: PMC7487861 DOI: 10.1016/j.chest.2020.08.2114
Source DB: PubMed Journal: Chest ISSN: 0012-3692 Impact factor: 9.410
Figure 1Study flow diagram.
Baseline Characteristics
| Characteristic | Safety Net Hospital SARS CoV-2 + ICU Patients (n = 82) | Network ICUs with Quality Improvement Pilot Protocol Implementation (n = 54) | Network ICUs without Quality Improvement Pilot Protocol Implementation (n = 93) | |
|---|---|---|---|---|
| Age, y | 61 (50-71) | 62 (50-74) | 65 (54-76) | .25 |
| Men, No. (%) | 38 (46%) | 25 (46%) | 46 (49%) | .71 |
| African American, No. (%) | 77 (93%) | 51 (94%) | 75 (80%) | .12 |
| BMI | 35 (30-43) | 35 (29-41) | 32 (28-38) | .24 |
| APACHE II Score | 13 (10-18) | 12 (9-16) | 15 (9-20) | .09 |
| SOFA Score | 4 (2-6) | 4 (3-5) | 4 (3-6) | .43 |
| Location Before ICU Admission, No. (%) | .003 | |||
| ED | 44 (53%) | 32 (59%) | 38 (40%) | |
| Hospital floor | 35 (42%) | 19 (35%) | 55 (59%) | |
| Outside-of-network hospital | 3 (3%) | 3 (5%) | 0 | |
| Comorbidities, No. (%) | ||||
| Hypertension | 71 (86%) | 45 (83%) | 70 (75%) | .25 |
| Diabetes mellitus | 47 (57%) | 29 (53%) | 43 (46%) | .45 |
| Cardiovascular disease | 29 (35%) | 16 (29%) | 30 (32%) | .76 |
| Heart failure | 16 (19%) | 9 (16%) | 14 (15%) | .81 |
| Solid malignancy | 7 (8%) | 4 (7%) | 14 (15%) | .16 |
| COPD | 15 (18%) | 11 (20%) | 9 (9%) | .08 |
| Asthma | 19 (23%) | 14 (25%) | 9 (9%) | .01 |
| Chronic kidney disease | 22 (26%) | 14 (25%) | 28 (30%) | .56 |
| End-stage renal disease | 3 (3%) | 0 | 9 (9%) | .01 |
| Chronic liver disease | 2 (2%) | 2 (3%) | 2 (2%) | .58 |
| Laboratory data on ICU admission | ||||
| D-dimer (n = 67) | 483 (250-948) | 469 (278-867) | 332 (4-1330) | .32 |
| Ferritin (n = 81) | 678 (345-1524) | 556 (220-1359) | 695 (408-2108) | .06 |
| C-reactive protein (n = 86) | 15.8 (11.4-22.2) | 15.4 (12.1-22.2) | 16.1 (11.1-24.6) | .92 |
| WBC count (n = 136) | 9.3 (7.3-12) | 8.9 (7.2-12.3) | 9.05 (6.25-12.47) | .79 |
| Absolute neutrophil count (n = 116) | 7,500 (5,500-9,840) | 7,550 (5,375-10,600) | 7,235 (5,277-10,225) | .76 |
| Absolute lymphocyte count (n = 116) | 915 (700-1,325) | 940 (700-1,410) | 920 (670-1,400) | .6 |
| Neutrophil to lymphyocyte ratio (n = 113) | 7.1 (4.6-11.4) | 6.8 (4.4-10.5) | 8 (4.6-12.6) | .3 |
| Creatinine kinase (n = 67) | 181 (89-564) | 164 (88-403) | 342 (91-896) | .28 |
| BUN (n = 136) | 20 (14-42) | 19 (13-39) | 26 (13-42) | .46 |
| Creatinine (n = 136) | 1.26 (0.93-1.88) | 1.25 (0.83-1.71) | 1.31 (0.95-2.25) | .29 |
| Lactate dehydrogenase (n = 69) | 416 (315-513) | 428 (307-520) | 451 (372-634) | .1 |
| Triglyceride (n = 17) | 138 (84-327) | 138 (84-327) | 134 (93-250) | .84 |
| Fibrinogen (n = 10) | 700 (700-700) | 700 (700-700) | 666 (412-700) | .23 |
| Pa | 112 (78-199) | 116 (94-265) | 101 (55-154) | .02 |
Data given as median (25th percentile-75th percentile) or number (percentage) of patients. P value = Mann-Whitney U test for continuous variables, χ2 test for categorical variables, and χ2 test for a trend for categorical variables with more than two groups.
APACHE = acute physiology and chronic health evaluation; SOFA = Sequential Organ Failure Assessment.
Clinical Outcomes
| Outcome | Safety Net Hospital SARS CoV-2 + ICU | Network ICUs With Quality | Network ICUs Without Quality | Relative Risk (95% Confidence | |
|---|---|---|---|---|---|
| Ventilator-free days | 22 (0-27) | 25 (0-28) | 0 (0-23) | .005 | |
| In-hospital mortality, No. (%) | 32 (39%) | 20 (37%) | 51 (56%) | 0.67 (0.48-0.94) | .02 |
| In-hospital mortality in only patients ever tracheally intubated (n = 111), No. (%) | 30 (50%) | 18 (47%) | 50 (68%) | 0.68 (0.47-0.99) | .03 |
| Need for renal replacement therapy, | 22 (26%) | 8 (14%) | 36 (38%) | 0.38 (0.19-0.76) | .002 |
Data given as median (25th percentile-75th percentile) or number (percentage) of patients.
P = Mann-Whitney U test for continuous variables and χ2 test for categorical variables.
Figure 2Ventilator-free days adjusted for APACHE II score on ICU admission. For every increase in APACHE II score, pilot protocol implementation was always associated with increased ventilator-free days. P-value represents result of a linear regression analysis with the dependent variable as ventilator-free days and the independent variables of pilot protocol implementation (P = .007) and APACHE II score.
Figure 3Number of ventilator-free days along with incidence of tracheal intubation, mortality, and non-invasive ventilation use to prevent intubation over time. Day of admission to an ICU is displayed on the x-axis. Ventilator-free days are displayed on the right y-axis. Incidence of tracheal intubation, death, and noninvasive positive pressure use to prevent intubation is displayed on the left y-axis. The solid and dashed lines represent Gaussian distribution lines. Over the course of the observation period, rates of intubation based on day of ICU admission rose initially and then decreased in the latter half of the observation period. Rates of NIPPV use were low in patients admitted to the ICU at the outset of the observation and increased in patients admitted over time. Mortality rates were highest in patients admitted to the ICU early in the observation and decreased in patients admitted to the ICU later in the observational period. NIPPV = noninvasive positive-pressure ventilation in pilot protocol group; VFDs = ventilator-free days.