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1.
Gastroenterology & Hepatology ; 17(11):550-552, 2021.
Article in English | CINAHL | ID: covidwho-1529278
2.
Clin Infect Dis ; 73(9): e3085-e3094, 2021 11 02.
Article in English | MEDLINE | ID: covidwho-1501024

ABSTRACT

BACKGROUND: Identifying risk factors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection could help health systems improve testing and screening strategies. The aim of this study was to identify demographic factors, comorbid conditions, and symptoms independently associated with testing positive for SARS-CoV-2. METHODS: This was an observational cross-sectional study at the Veterans Health Administration, including persons tested for SARS-CoV-2 nucleic acid by polymerase chain reaction (PCR) between 28 February and 14 May 2020. Associations between demographic characteristics, diagnosed comorbid conditions, and documented symptoms with testing positive for SARS-CoV-2 were measured. RESULTS: Of 88 747 persons tested, 10 131 (11.4%) were SARS-CoV-2 PCR positive. Positivity was associated with older age (≥80 vs <50 years: adjusted odds ratio [aOR], 2.16 [95% confidence interval {CI}, 1.97-2.37]), male sex (aOR, 1.45 [95% CI, 1.34-1.57]), regional SARS-CoV-2 burden (≥2000 vs <400 cases/million: aOR, 5.43 [95% CI, 4.97-5.93]), urban residence (aOR, 1.78 [95% CI, 1.70-1.87]), black (aOR, 2.15 [95% CI, 2.05-2.26]) or American Indian/Alaska Native Hawaiian/Pacific Islander (aOR, 1.26 [95% CI, 1.05-1.52]) vs white race, and Hispanic ethnicity (aOR, 1.52 [95% CI, 1.40-1.65]). Obesity and diabetes were the only 2 medical conditions associated with testing positive. Documented fevers, chills, cough, and diarrhea were also associated with testing positive. The population attributable fraction of positive tests was highest for geographic location (35.3%), followed by demographic variables (27.1%), symptoms (12.0%), obesity (10.5%), and diabetes (0.4%). CONCLUSIONS: The majority of positive SARS-CoV-2 tests were attributed to geographic location, demographic characteristics, and obesity, with a minor contribution of chronic comorbid conditions.


Subject(s)
COVID-19 , SARS-CoV-2 , Aged , Cross-Sectional Studies , Delivery of Health Care , Humans , Male , Risk Factors , United States/epidemiology
3.
The American Journal of Gastroenterology ; 116, 2021.
Article in English | ProQuest Central | ID: covidwho-1478534
4.
Hepatology ; 74(1): 322-335, 2021 07.
Article in English | MEDLINE | ID: covidwho-1384170

ABSTRACT

BACKGROUND AND AIMS: Whether patients with cirrhosis have increased risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and the extent to which infection and cirrhosis increase the risk of adverse patient outcomes remain unclear. APPROACH AND RESULTS: We identified 88,747 patients tested for SARS-CoV-2 between March 1, 2020, and May 14, 2020, in the Veterans Affairs (VA) national health care system, including 75,315 with no cirrhosis-SARS-CoV-2-negative (C0-S0), 9,826 with no cirrhosis-SARS-CoV-2-positive (C0-S1), 3,301 with cirrhosis-SARS-CoV-2-negative (C1-S0), and 305 with cirrhosis-SARS-CoV-2-positive (C1-S1). Patients were followed through June 22, 2020. Hospitalization, mechanical ventilation, and death were modeled in time-to-event analyses using Cox proportional hazards regression. Patients with cirrhosis were less likely to test positive than patients without cirrhosis (8.5% vs. 11.5%; adjusted odds ratio, 0.83; 95% CI, 0.69-0.99). Thirty-day mortality and ventilation rates increased progressively from C0-S0 (2.3% and 1.6%) to C1-S0 (5.2% and 3.6%) to C0-S1 (10.6% and 6.5%) and to C1-S1 (17.1% and 13.0%). Among patients with cirrhosis, those who tested positive for SARS-CoV-2 were 4.1 times more likely to undergo mechanical ventilation (adjusted hazard ratio [aHR], 4.12; 95% CI, 2.79-6.10) and 3.5 times more likely to die (aHR, 3.54; 95% CI, 2.55-4.90) than those who tested negative. Among patients with SARS-CoV-2 infection, those with cirrhosis were more likely to be hospitalized (aHR, 1.37; 95% CI, 1.12-1.66), undergo ventilation (aHR, 1.61; 95% CI, 1.05-2.46) or die (aHR, 1.65; 95% CI, 1.18-2.30) than patients without cirrhosis. Among patients with cirrhosis and SARS-CoV-2 infection, the most important predictors of mortality were advanced age, cirrhosis decompensation, and high Model for End-Stage Liver Disease score. CONCLUSIONS: SARS-CoV-2 infection was associated with a 3.5-fold increase in mortality in patients with cirrhosis. Cirrhosis was associated with a 1.7-fold increase in mortality in patients with SARS-CoV-2 infection.


Subject(s)
COVID-19/etiology , Liver Cirrhosis/complications , SARS-CoV-2 , Veterans/statistics & numerical data , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19/epidemiology , COVID-19/mortality , COVID-19/therapy , Female , Hospitalization/statistics & numerical data , Humans , Liver Cirrhosis/virology , Male , Middle Aged , Proportional Hazards Models , Respiration, Artificial/statistics & numerical data , Risk Factors , United States/epidemiology , Young Adult
5.
Clin Infect Dis ; 2021 May 11.
Article in English | MEDLINE | ID: covidwho-1387822

ABSTRACT

BACKGROUND: We aimed to describe trends in adverse outcomes among patients who tested positive for SARS-CoV-2 between February and September 2020 within a national healthcare system. METHODS: We identified enrollees in the national U.S. Veterans Affairs healthcare system who tested positive for SARS-CoV-2 between 2/28/2020 and 9/30/2020 (n=55,952), with follow-up extending to 11/19/2020. We determined trends over time in incidence of the following outcomes that occurred within 30 days of testing positive: hospitalization, intensive care unit (ICU) admission, mechanical ventilation and death. RESULTS: Between February and July 2020, there were marked downward trends in the 30-day incidence of hospitalization (44.2% to 15.8%), ICU admission (20.3% to 5.3%), mechanical ventilation (12.7% to 2.2%), and death (12.5% to 4.4%), which subsequently plateaued between July and September 2020. These trends persisted after adjustment for sociodemographic characteristics, comorbid conditions, documented symptoms and laboratory tests, including among subgroups of patients hospitalized, admitted to the ICU or treated with mechanical ventilation. From February to September, there were decreases in the use of hydroxychloroquine (56.5% to 0%), azithromycin (48.3% to 16.6%) vasopressors (20.6% to 8.7%), and dialysis (11.6% to 3.8%) and increases in the use of dexamethasone (3.4% to 53.1%), other corticosteroids (4.9% to 29.0%) and remdesivir (1.7% to 45.4%) among hospitalized patients. CONCLUSIONS: The risk of adverse outcomes in SARS-CoV-2-positive patients decreased markedly between February and July, with subsequent stabilization from July to September. These trends were not explained by changes in measured baseline patient characteristics and may reflect changing treatment practices or viral pathogenicity.

6.
Tech Innov Gastrointest Endosc ; 23(4): 313-321, 2021.
Article in English | MEDLINE | ID: covidwho-1366687

ABSTRACT

Background and Aims: The coronavirus disease 2019 (COVID-19) pandemic has limited the ability to perform endoscopy. The aim of this study was to quantify the impact of the pandemic on endoscopy volumes and indications in the United States. Methods: We performed a retrospective analysis of data from the GI Quality Improvement Consortium (GIQuIC) registry. We compared volumes of colonoscopy and esophagogastroduodenoscopy (EGD) during the pandemic (March-September 2020) to before the pandemic (January 2019-February 2020). The primary outcome was change in monthly volumes. Secondary outcomes included changes in the distribution of procedure indications and in procedure volume by region of United States, patient characteristics, trainee involvement, and practice setting, as well as colorectal cancer diagnoses. Results: Among 451 sites with 3514 endoscopists, the average monthly volume of colonoscopies and EGDs dropped by 38.5% and 33.4%, respectively. There was regional variation, with the greatest and least decline in procedures in the Northeast and South, respectively. There was a modest shift in procedure indications from prevention to diagnostic, an initial increase in performance in the hospital setting, and a decrease in procedures with trainees. The decline in volume of colonoscopy and EGD during the first 7 months of the pandemic was equivalent to approximately 2.7 and 2.4 months of prepandemic productivity, respectively. Thirty percent fewer colorectal cancers were diagnosed compared to expected. Conclusion: These data on actual endoscopy utilization nationally during the pandemic can help in anticipating impact of delays in care on outcomes and planning for the recovery phase.

7.
Clin Trials ; 18(5): 622-629, 2021 10.
Article in English | MEDLINE | ID: covidwho-1280562

ABSTRACT

INTRODUCTION: Clostridiodes difficile infection is the leading cause of infectious diarrhea in the United States, with substantial morbidity and mortality. Recurrent infection is especially challenging, with each recurrence increasing the likelihood of a successive recurrence, leading to cycles of prolonged symptoms, frequent antimicrobial use, and decreased quality of life. Fecal microbiota transplantation to prevent recurrent infection is a promising intervention with a large effect size in observational studies, but with conflicting results from randomized controlled trials. We are conducting a Veterans Affairs-wide randomized controlled trial utilizing centralized case identification, with enrollment and fecal microbiota transplant administration occurring at the participant's home. This type of trial design significantly improves trial efficiency, greatly decreases trial cost, increases consistency of trial administration, and most importantly makes nationwide clinical trials in less-common diseases possible. METHODS: This is a randomized comparison of capsule-delivered fecal microbiota transplant for the prevention of recurrent Clostridiodes difficile infection, administered after successful initial treatment of recurrent C. difficile infection with standard therapy. The primary endpoint is the incidence of recurrent C. difficile infection or death. Cases are identified by searching the Veterans Affairs Corporate Data Warehouse, with central study coordinators then reaching out to potential participants. Individuals meeting inclusion criteria and interested in participation are scheduled for in-home consent, randomization, and capsule administration, followed by telephone follow-up for 6 months. To mitigate risks of COVID-19, enrollment via video visits has been implemented. RESULTS: A total of 102 participants have been enrolled through January 2021. Centralized case identification and in-home enrollment has facilitated enrollment from 34 unique states, with 38% being from rural or highly rural areas. DISCUSSION: Centralized case identification and in-home enrollment is a feasible and innovative method of conducting randomized controlled trials in the Veterans Affairs system, improving access to clinical research for populations who may have difficulty engaging with the traditional model of clinical trials where enrollment is based at large hospitals in major metropolitan areas.


Subject(s)
Anti-Bacterial Agents , Clostridioides difficile , Clostridium Infections/therapy , Fecal Microbiota Transplantation , Anti-Bacterial Agents/therapeutic use , COVID-19 , Humans , Microbiota , Quality of Life , Recurrence , Treatment Outcome
8.
Hepatology ; 74(1): 322-335, 2021 07.
Article in English | MEDLINE | ID: covidwho-1251985

ABSTRACT

BACKGROUND AND AIMS: Whether patients with cirrhosis have increased risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and the extent to which infection and cirrhosis increase the risk of adverse patient outcomes remain unclear. APPROACH AND RESULTS: We identified 88,747 patients tested for SARS-CoV-2 between March 1, 2020, and May 14, 2020, in the Veterans Affairs (VA) national health care system, including 75,315 with no cirrhosis-SARS-CoV-2-negative (C0-S0), 9,826 with no cirrhosis-SARS-CoV-2-positive (C0-S1), 3,301 with cirrhosis-SARS-CoV-2-negative (C1-S0), and 305 with cirrhosis-SARS-CoV-2-positive (C1-S1). Patients were followed through June 22, 2020. Hospitalization, mechanical ventilation, and death were modeled in time-to-event analyses using Cox proportional hazards regression. Patients with cirrhosis were less likely to test positive than patients without cirrhosis (8.5% vs. 11.5%; adjusted odds ratio, 0.83; 95% CI, 0.69-0.99). Thirty-day mortality and ventilation rates increased progressively from C0-S0 (2.3% and 1.6%) to C1-S0 (5.2% and 3.6%) to C0-S1 (10.6% and 6.5%) and to C1-S1 (17.1% and 13.0%). Among patients with cirrhosis, those who tested positive for SARS-CoV-2 were 4.1 times more likely to undergo mechanical ventilation (adjusted hazard ratio [aHR], 4.12; 95% CI, 2.79-6.10) and 3.5 times more likely to die (aHR, 3.54; 95% CI, 2.55-4.90) than those who tested negative. Among patients with SARS-CoV-2 infection, those with cirrhosis were more likely to be hospitalized (aHR, 1.37; 95% CI, 1.12-1.66), undergo ventilation (aHR, 1.61; 95% CI, 1.05-2.46) or die (aHR, 1.65; 95% CI, 1.18-2.30) than patients without cirrhosis. Among patients with cirrhosis and SARS-CoV-2 infection, the most important predictors of mortality were advanced age, cirrhosis decompensation, and high Model for End-Stage Liver Disease score. CONCLUSIONS: SARS-CoV-2 infection was associated with a 3.5-fold increase in mortality in patients with cirrhosis. Cirrhosis was associated with a 1.7-fold increase in mortality in patients with SARS-CoV-2 infection.


Subject(s)
COVID-19/etiology , Liver Cirrhosis/complications , SARS-CoV-2 , Veterans/statistics & numerical data , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19/epidemiology , COVID-19/mortality , COVID-19/therapy , Female , Hospitalization/statistics & numerical data , Humans , Liver Cirrhosis/virology , Male , Middle Aged , Proportional Hazards Models , Respiration, Artificial/statistics & numerical data , Risk Factors , United States/epidemiology , Young Adult
9.
JAMA Netw Open ; 4(4): e214347, 2021 04 01.
Article in English | MEDLINE | ID: covidwho-1168797

ABSTRACT

Importance: A strategy that prioritizes individuals for SARS-CoV-2 vaccination according to their risk of SARS-CoV-2-related mortality would help minimize deaths during vaccine rollout. Objective: To develop a model that estimates the risk of SARS-CoV-2-related mortality among all enrollees of the US Department of Veterans Affairs (VA) health care system. Design, Setting, and Participants: This prognostic study used data from 7 635 064 individuals enrolled in the VA health care system as of May 21, 2020, to develop and internally validate a logistic regression model (COVIDVax) that predicted SARS-CoV-2-related death (n = 2422) during the observation period (May 21 to November 2, 2020) using baseline characteristics known to be associated with SARS-CoV-2-related mortality, extracted from the VA electronic health records (EHRs). The cohort was split into a training period (May 21 to September 30) and testing period (October 1 to November 2). Main Outcomes and Measures: SARS-CoV-2-related death, defined as death within 30 days of testing positive for SARS-CoV-2. VA EHR data streams were imported on a data integration platform to demonstrate that the model could be executed in real-time to produce dashboards with risk scores for all current VA enrollees. Results: Of 7 635 064 individuals, the mean (SD) age was 66.2 (13.8) years, and most were men (7 051 912 [92.4%]) and White individuals (4 887 338 [64.0%]), with 1 116 435 (14.6%) Black individuals and 399 634 (5.2%) Hispanic individuals. From a starting pool of 16 potential predictors, 10 were included in the final COVIDVax model, as follows: sex, age, race, ethnicity, body mass index, Charlson Comorbidity Index, diabetes, chronic kidney disease, congestive heart failure, and Care Assessment Need score. The model exhibited excellent discrimination with area under the receiver operating characteristic curve (AUROC) of 85.3% (95% CI, 84.6%-86.1%), superior to the AUROC of using age alone to stratify risk (72.6%; 95% CI, 71.6%-73.6%). Assuming vaccination is 90% effective at preventing SARS-CoV-2-related death, using this model to prioritize vaccination was estimated to prevent 63.5% of deaths that would occur by the time 50% of VA enrollees are vaccinated, significantly higher than the estimate for prioritizing vaccination based on age (45.6%) or the US Centers for Disease Control and Prevention phases of vaccine allocation (41.1%). Conclusions and Relevance: In this prognostic study of all VA enrollees, prioritizing vaccination based on the COVIDVax model was estimated to prevent a large proportion of deaths expected to occur during vaccine rollout before sufficient herd immunity is achieved.


Subject(s)
COVID-19 Vaccines/therapeutic use , COVID-19/prevention & control , Health Planning/methods , Health Priorities/statistics & numerical data , Mass Vaccination , Veterans/statistics & numerical data , Aged , Area Under Curve , Comorbidity , Female , Humans , Logistic Models , Male , Middle Aged , Prognosis , ROC Curve , Risk Assessment , Risk Factors , SARS-CoV-2 , United States
10.
Obesity (Silver Spring) ; 29(5): 900-908, 2021 05.
Article in English | MEDLINE | ID: covidwho-1139280

ABSTRACT

OBJECTIVE: The purpose of this study is to examine the associations of BMI with testing positive for severe acute respiratory coronavirus 2 (SARS-CoV-2) and risk of adverse outcomes in a cohort of Veterans Affairs enrollees. METHOD: Adjusted relative risks/hazard ratios (HRs) were calculated for the associations between BMI category (underweight, normal weight, overweight, class 1 obesity, class 2 obesity, and class 3 obesity) and testing positive for SARS-CoV-2 or experiencing hospitalization, intensive care unit admission, mechanical ventilation, and death among those testing positive. RESULTS: Higher BMI categories were associated with higher risk of a positive SARS-CoV-2 test compared with the normal weight category (class 3 obesity adjusted relative risk: 1.34, 95% CI: 1.28-1.42). Among 25,952 patients who tested positive for SARS-CoV-2, class 3 obesity was associated with higher risk of mechanical ventilation (adjusted HR [aHR]: 1.77, 95% CI: 1.35-2.32) and mortality (aHR: 1.42, 95% CI: 1.12-1.78) compared with normal weight individuals. These associations were present primarily in patients younger than 65 and were attenuated or absent in older age groups (interaction P < 0.05). CONCLUSION: Veterans Affairs enrollees with higher BMI were more likely to test positive for SARS-CoV-2 and were more likely to be mechanically ventilated or die if infected with SARS-CoV-2. Higher BMI contributed relatively more to the risk of death in those younger than 65 years of age as compared with other age categories.


Subject(s)
Body Mass Index , COVID-19/epidemiology , Obesity/complications , Veterans/statistics & numerical data , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19/complications , COVID-19/mortality , Cohort Studies , Female , Hospitalization , Humans , Intensive Care Units , Male , Middle Aged , Proportional Hazards Models , Respiration, Artificial , Risk Factors , Young Adult
12.
JAMA Netw Open ; 3(9): e2022310, 2020 09 01.
Article in English | MEDLINE | ID: covidwho-784192

ABSTRACT

Importance: Identifying independent risk factors for adverse outcomes in patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can support prognostication, resource utilization, and treatment. Objective: To identify excess risk and risk factors associated with hospitalization, mechanical ventilation, and mortality in patients with SARS-CoV-2 infection. Design, Setting, and Participants: This longitudinal cohort study included 88 747 patients tested for SARS-CoV-2 nucleic acid by polymerase chain reaction between Feburary 28 and May 14, 2020, and followed up through June 22, 2020, in the Department of Veterans Affairs (VA) national health care system, including 10 131 patients (11.4%) who tested positive. Exposures: Sociodemographic characteristics, comorbid conditions, symptoms, and laboratory test results. Main Outcomes and Measures: Risk of hospitalization, mechanical ventilation, and death were estimated in time-to-event analyses using Cox proportional hazards models. Results: The 10 131 veterans with SARS-CoV-2 were predominantly male (9221 [91.0%]), with diverse race/ethnicity (5022 [49.6%] White, 4215 [41.6%] Black, and 944 [9.3%] Hispanic) and a mean (SD) age of 63.6 (16.2) years. Compared with patients who tested negative for SARS-CoV-2, those who tested positive had higher rates of 30-day hospitalization (30.4% vs 29.3%; adjusted hazard ratio [aHR], 1.13; 95% CI, 1.08-1.13), mechanical ventilation (6.7% vs 1.7%; aHR, 4.15; 95% CI, 3.74-4.61), and death (10.8% vs 2.4%; aHR, 4.44; 95% CI, 4.07-4.83). Among patients who tested positive for SARS-CoV-2, characteristics significantly associated with mortality included older age (eg, ≥80 years vs <50 years: aHR, 60.80; 95% CI, 29.67-124.61), high regional COVID-19 disease burden (eg, ≥700 vs <130 deaths per 1 million residents: aHR, 1.21; 95% CI, 1.02-1.45), higher Charlson comorbidity index score (eg, ≥5 vs 0: aHR, 1.93; 95% CI, 1.54-2.42), fever (aHR, 1.51; 95% CI, 1.32-1.72), dyspnea (aHR, 1.78; 95% CI, 1.53-2.07), and abnormalities in the certain blood tests, which exhibited dose-response associations with mortality, including aspartate aminotransferase (>89 U/L vs ≤25 U/L: aHR, 1.86; 95% CI, 1.35-2.57), creatinine (>3.80 mg/dL vs 0.98 mg/dL: aHR, 3.79; 95% CI, 2.62-5.48), and neutrophil to lymphocyte ratio (>12.70 vs ≤2.71: aHR, 2.88; 95% CI, 2.12-3.91). With the exception of geographic region, the same covariates were independently associated with mechanical ventilation along with Black race (aHR, 1.52; 95% CI, 1.25-1.85), male sex (aHR, 2.07; 95% CI, 1.30-3.32), diabetes (aHR, 1.40; 95% CI, 1.18-1.67), and hypertension (aHR, 1.30; 95% CI, 1.03-1.64). Notable characteristics that were not significantly associated with mortality in adjusted analyses included obesity (body mass index ≥35 vs 18.5-24.9: aHR, 0.97; 95% CI, 0.77-1.21), Black race (aHR, 1.04; 95% CI, 0.88-1.21), Hispanic ethnicity (aHR, 1.03; 95% CI, 0.79-1.35), chronic obstructive pulmonary disease (aHR, 1.02; 95% CI, 0.88-1.19), hypertension (aHR, 0.95; 95% CI, 0.81-1.12), and smoking (eg, current vs never: aHR, 0.87; 95% CI, 0.67-1.13). Most deaths in this cohort occurred in patients with age of 50 years or older (63.4%), male sex (12.3%), and Charlson Comorbidity Index score of at least 1 (11.1%). Conclusions and Relevance: In this national cohort of VA patients, most SARS-CoV-2 deaths were associated with older age, male sex, and comorbidity burden. Many factors previously reported to be associated with mortality in smaller studies were not confirmed, such as obesity, Black race, Hispanic ethnicity, chronic obstructive pulmonary disease, hypertension, and smoking.


Subject(s)
Cause of Death , Coronavirus Infections , Hospitalization , Pandemics , Pneumonia, Viral , Respiration, Artificial , Veterans , Aged , Betacoronavirus , COVID-19 , Cohort Studies , Comorbidity , Coronavirus , Coronavirus Infections/blood , Coronavirus Infections/mortality , Coronavirus Infections/therapy , Coronavirus Infections/virology , Dyspnea/etiology , Dyspnea/therapy , Female , Fever/etiology , Humans , Longitudinal Studies , Male , Middle Aged , Pneumonia, Viral/blood , Pneumonia, Viral/mortality , Pneumonia, Viral/therapy , Pneumonia, Viral/virology , Proportional Hazards Models , Risk Factors , SARS-CoV-2 , Severe Acute Respiratory Syndrome , Severity of Illness Index , United States , United States Department of Veterans Affairs
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