Deployment-related Cigarette Smoking Behaviors and Pulmonary Function Among U.S. Veterans.

INTRODUCTION: The effects of smoking on lung function among post-9/11 Veterans deployed to environments with high levels of ambient particulate matter are incompletely understood. MATERIALS AND METHODS: We analyzed interim data (04/2018-03/2020) from the Veterans Affairs (VA) Cooperative Studies Program #595, "Service and Health Among Deployed Veterans". Veterans with ≥1 land-based deployments enrolled at 1 of 6 regional Veterans Affairs sites completed questionnaires and spirometry. Multivariable linear regression models assessed associations between cigarette smoking (cumulative, deployment-related and non-deployment-related) with pulmonary function. RESULTS: Among 1,836 participants (mean age 40.7 ± 9.6, 88.6% male), 44.8% (n = 822) were ever-smokers (mean age 39.5 ± 9.5; 91.2% male). Among ever-smokers, 86% (n = 710) initiated smoking before deployment, while 11% (n = 90) initiated smoking during deployment(s). Smoking intensity was 50% greater during deployment than other periods (0.75 versus 0.50 packs-per-day; P < .05), and those with multiple deployments (40.4%) were more likely to smoke during deployment relative to those with single deployments (82% versus 74%). Total cumulative pack-years (median [IQR] = 3.8 [1, 10]) was inversely associated with post-bronchodilator FEV1%-predicted (-0.82; [95% CI] = [-1.25, -0.50] %-predicted per 4 pack-years) and FEV1/FVC%-predicted (-0.54; [95% CI] = [-0.78, -0.43] %-predicted per 4 pack-years). Deployment-related pack-years demonstrated similar point estimates of associations with FEV1%-predicted (-0.61; [95% CI] = [-2.28, 1.09]) and FEV1/FVC%-predicted (-1.09; [95% CI] = [-2.52, 0.50]) as non-deployment-related pack-years (-0.83; [95% CI] = [-1.26, -0.50] for FEV1%-predicted; -0.52; [95% CI] = [-0.73, -0.36] for FEV1/FVC%-predicted). CONCLUSIONS: Although cumulative pack-years smoking was modest in this cohort, an inverse association with pulmonary function was detectable. Deployment-related pack-years had a similar association with pulmonary function compared to non-deployment-related pack-years.

COVID-19 Severity and Mortality in Veterans with Chronic Lung Disease.

INTRODUCTION: Chronic lung disease (CLD) has been associated with risk for more severe manifestations and death with COVID-19. However, few studies have evaluated the risk overall and by type of CLD for severity of COVID-19 outcomes in a US national cohort. METHODS: Using data from the Veterans Health Administration, we determined the risk associated with CLDs including COPD (mild/severe), asthma (mild/active/severe), idiopathic pulmonary fibrosis (IPF), sarcoidosis and other interstitial lung diseases (ILDs) for outcomes among veterans with SARS-CoV-2 positive tests between 3/1/2020-4/30/2021. We used multinomial regression to estimate risk of four mutually exclusive COVID-19 outcomes within 30-days: outpatient management, hospitalization, hospitalization with indicators of critical illness, or death. We calculated the overall proportion with each outcome, the absolute risk difference and risk ratios for each outcome between those with and without CLD. We also describe clinical and laboratory abnormalities by CLD in those hospitalized. RESULTS: We included 208,283 veterans with COVID-19; 35,587 (17%) had CLD. Compared to no CLD, veterans with CLD were older and had more comorbidities. Hospitalized veterans with CLD were more likely to have low temperature, mean arterial pressure, oxygen saturation, leukopenia and thrombocytopenia, and more likely to receive oxygen, mechanical ventilation and vasopressors. Veterans with CLD were significantly less likely to have mild COVID-19 (-4.5%, adjusted risk ratio [aRR] 0.94, 95% confidence interval [CI] 0.94-0.95), and more likely to have a moderate (+2.5%, aRR 1.21, 95% CI 1.18-1.24), critical (+1.4%, aRR 1.38, 95% CI 1.32-1.45) or fatal (+0.7%, aRR 1.15, 95% CI 1.10-1.20) outcome. IPF was most strongly associated with COVID-19 severity, especially mortality (+3.2%, aRR 1.69, 95% CI 1.46-1.96), followed by other ILDs and COPD, whereas asthma was less likely to be associated with severity of COVID-19. In veterans under age 65, worse COVID-19 outcomes were generally more likely with IPF, sarcoidosis, and other ILDs. CONCLUSIONS: Veterans who had CLD, particularly IPF, other ILDs and COPD, had an increased probability of more severe 30-day outcomes with COVID-19. These results provide insight into the absolute and relative risk of different CLDs with severity of COVID-19 outcomes and can help inform considerations of healthcare utilization and prognosis.

Cognitive and Emotional Responses to Chronic Obstructive Pulmonary Disease Exacerbations and Patterns of Care Seeking.

Rationale: Cognitive and emotional responses associated with care seeking for chronic obstructive pulmonary disease (COPD) exacerbations are not well understood.Objectives: We sought to define care-seeking profiles based on whether and when U.S. veterans seek care for COPD exacerbations and compare cognitive and emotional responses with exacerbation symptoms across the profiles.Methods: This study analyzes data from a 1-year prospective observational cohort study of individuals with COPD. Cognitive and emotional responses to worsening symptoms were measured with the Response to Symptoms Questionnaire, adapted for COPD. Seeking care was defined as contacting or visiting a healthcare provider or going to the emergency department. Participants were categorized into four care-seeking profiles based on the greatest delay in care seeking for exacerbations when care was sought: 0-3 days (early), 4-7 days (short delay), >7 days (long delay), or never sought care for any exacerbation. The proportion of exacerbations for which participants reported cognitive and emotional responses was estimated for each care-seeking profile, stratified by the timing of when care was sought.Results: There were 1,052 exacerbations among 350 participants with Response to Symptoms Questionnaire responses. Participants were predominantly male (96%), and the mean age was 69.3 ± 7.2 years. For the 409 (39%) exacerbations for which care was sought, the median delay was 3 days. Those who sought care had significantly more severe COPD (forced expiratory volume in 1 s, modified Medical Research Council dyspnea scale) than those who never sought care. Regardless of the degree of delay until seeking care at one exacerbation, participants consistently reported experiencing serious symptoms if they sought care compared with events for which participants did not seek care (e.g., among early care seekers when care was sought, 36%; when care was not sought, 25%). Similar findings were seen in participants' assessment of the importance of getting care (e.g., among early care seekers when care was sought, 90%; when care was not sought, 52%) and their assessment of anxiety about the symptoms (e.g., among early care seekers when care was sought, 33%; when care was not sought, 17%).Conclusions: Delaying or not seeking care for COPD exacerbations was common. Regardless of care-seeking profile, cognitive and emotional responses to symptoms when care was sought differed from responses when care was not sought. Emotional and cognitive response to COPD exacerbations should be considered when developing individualized strategies to encourage seeking care for exacerbations.Clinical trial registered with www.clinicaltrials.gov (NCT02725294).

Chronic respiratory symptoms following deployment-related occupational and environmental exposures among US veterans.

OBJECTIVES: Characterise inhalational exposures during deployment to Afghanistan and Southwest Asia and associations with postdeployment respiratory symptoms. METHODS: Participants (n=1960) in this cross-sectional study of US Veterans (Veterans Affairs Cooperative Study 'Service and Health Among Deployed Veterans') completed an interviewer-administered questionnaire regarding 32 deployment exposures, grouped a priori into six categories: burn pit smoke; other combustion sources; engine exhaust; mechanical and desert dusts; toxicants; and military job-related vapours gas, dusts or fumes (VGDF). Responses were scored ordinally (0, 1, 2) according to exposure frequency. Factor analysis supported item reduction and category consolidation yielding 28 exposure items in 5 categories. Generalised linear models with a logit link tested associations with symptoms (by respiratory health questionnaire) adjusting for other covariates. OR were scaled per 20-point score increment (normalised maximum=100). RESULTS: The cohort mean age was 40.7 years with a median deployment duration of 11.7 months. Heavy exposures to multiple inhalational exposures were commonly reported, including burn pit smoke (72.7%) and VGDF (72.0%). The prevalence of dyspnoea, chronic bronchitis and wheeze in the past 12 months was 7.3%, 8.2% and 15.6%, respectively. Burn pit smoke exposure was associated with dyspnoea (OR 1.22; 95% CI 1.06 to 1.47) and chronic bronchitis (OR 1.22; 95% CI 1.13 to 1.44). Exposure to VGDF was associated with dyspnoea (OR 1.29; 95% CI 1.14 to 1.58) and wheeze (OR 1.18; 95% CI 1.02 to 1.35). CONCLUSION: Exposures to burn pit smoke and military occupational VGDF during deployment were associated with an increased odds of chronic respiratory symptoms among US Veterans.

Predictors of Patient-reported and Pharmacy Refill Measures of Maintenance Inhaler Adherence in Veterans with Chronic Obstructive Pulmonary Disease.

Rationale: Suboptimal adherence to inhaled medications in patients with chronic obstructive pulmonary disease (COPD) remains a challenge. Objectives: To examine the sociodemographic and clinical characteristics and medication beliefs associated with adherence measured by self-report and pharmacy data. Methods: A cross-sectional analysis of data from a prospective observational cohort study of patients with COPD was completed. Participants underwent spirometry and completed questionnaires regarding sociodemographic data, inhaler use, dyspnea, social support, psychological and medical comorbidities, and medication beliefs (Beliefs about Medicines Questionnaire [BMQ]). Self-reported adherence to inhaled medications was measured with the Adherence to Refills and Medications Scale (ARMS), and pharmacy-based adherence was calculated from administrative data using the ReComp score. Multivariable linear regression was used to examine the sociodemographic, clinical, and medication-belief factors associated with both adherence measures. Results: Among 269 participants with ARMS and ReComp data, adherence was the same for each measure (38.3%), but only 18% of participants were adherent by both measures. In multivariable adjusted analysis, a 10-year increase in age (ß = 0.54; 95% confidence interval, 0.14-0.94) and the number of maintenance inhalers used (ß = 0.53; 0.04-1.02) were associated with increased adherence by self-report. Improved ReComp adherence was associated with chronic prednisone use (ß = 0.18; 0.04-0.31) and the number of maintenance inhalers used (ß = 0.11; 0.05-0.17). In adjusted analyses examining patient beliefs about medications, increases in the COPD-specific BMQ concerns score (ß = -0.10; -0.17 to -0.02) were associated with reduced self-reported adherence. No significant associations between ReComp adherence and BMQ score were found in adjusted analyses. Conclusions: Adherence to inhaled COPD medications was poor as measured by self-report or pharmacy refill data. There were notable differences in factors associated with adherence based on the method of adherence measurement. Older age, chronic prednisone use, the number of prescribed maintenance inhalers used, and patient beliefs about medication safety were associated with adherence. Overall, fewer variables were associated with adherence as measured based on pharmacy refills. Pharmacy refill-based and self-reported adherence may measure distinct aspects of adherence and may be affected by different factors. These results also underscore the importance of addressing patient beliefs when developing interventions to improve medication adherence.

Inflammatory Markers and Fatigue in Individuals With Moderate to Severe Chronic Obstructive Pulmonary Disease.

BACKGROUND: Fatigue, a prevalent complex symptom among patients with chronic obstructive pulmonary disease (COPD), is considered an important clinical indicator of disease severity. However, the underlying mechanisms of COPD-related fatigue are not fully understood. OBJECTIVES: This analysis explored the relationships between peripheral inflammatory markers and COPD-related fatigue in people with moderate to severe COPD. METHODS: This is a secondary analysis of a longitudinal observational study of individuals with COPD examining the biological causes and functional consequences of depression. The data used in this study were collected at baseline. Systemic inflammation markers included C-reactive protein (CRP) and three pro-inflammatory cytokines consisting of interleukin-6 (IL-6), IL-8, and tumor necrosis factor-α. COPD-related fatigue was self-reported using the Chronic Respiratory Questionnaire. Covariates included age; gender; smoking status; disease severity; symptoms of depression, anxiety, and pain; and social support. Multivariable linear regression analyses were conducted. RESULTS: The sample included 300 adults living with COPD; 80% were male, and the average age was 67.6 years. Modest correlations were found between two systemic inflammatory markers (CRP and IL-8) and COPD-related fatigue. CRP was the only inflammatory marker significantly associated with fatigue symptoms after adjusting for covariates in multivariable analyses. Depression, pain, and education level were also significant predictors of COPD-related fatigue. DISCUSSION: The findings suggest that altered immune response based on CRP may contribute to COPD-related fatigue. Management of depression and pain may work as an effective treatment strategy for COPD-related fatigue. Further longitudinal studies with a broader range of inflammatory markers and multidimensional measures of fatigue symptoms are warranted.

Association between self-reported falling risk and risk of hospitalization for patients with chronic obstructive pulmonary disease.

RATIONALE: The association between self-report falling risk in persons with COPD and hospitalization has not been previously explored. OBJECTIVE: To examine whether self-reported risk is associated with hospitalizations in patients with COPD. METHODS: A secondary analysis from a prospective observational cohort study of veterans with COPD. Participants completed questions from the Stopping Elderly Accidents, Deaths and Injuries (STEADI) tool kit at either baseline or at the end of the 12-month study. A prospective or cross-sectional analysis examined the association between responses to the STEADI questions and risk of all-cause or COPD hospitalizations. RESULTS: Participants (N = 388) had a mean age of 69.6 ± 7.5 years, predominately male (96 %), and 144 (37.1 %) reported having fallen in the last year. More than half reported feeling unsteady with walking (52.6 %) or needing to use their arms to stand up from a chair (61.1 %). A third were concerned about falling (33.3 %). Three questions were associated with all-cause (not COPD) hospitalization in both unadjusted and adjusted cross-sectional analysis (N = 213): "fallen in the past year" (IRR 1.77, 95 % CI 1.10 to 2.86); "unsteady when walking" (IRR 1.88, 95 % CI 1.14 to 3.10); "advised to use a cane or walker" (IRR 1.89, 95 % CI 1.16 to 3.08). CONCLUSIONS: The prevalence of self-reported falling risk was high in this sample of veterans with COPD. The association between falling risk and all-cause hospitalization suggests that non-COPD hospitalizations can negatively impact intrinsic risk factors for falling. Further research is needed to clarify the effects of all-cause hospitalization on falling risk in persons with COPD.

Care-seeking and delay of care during COPD exacerbations.

Patients who receive earlier treatment for acute exacerbations of chronic obstructive pulmonary disease (COPD) have a better prognosis, including earlier symptom resolution and reduced risk of future emergency-department visits (ED) or hospitalizations. However, many patients delay seeking care or do not report worsening symptoms to their healthcare provider. In this study, we aimed to understand how patients perceived their breathing symptoms and identify factors that led to seeking or delaying care for an acute exacerbation of COPD. We conducted semistructured interviews with 60 individuals following a recent COPD exacerbation. Participants were identified from a larger study of outpatients with COPD by purposive sampling by exacerbation type: 15 untreated, 15 treated with prednisone and/or antibiotics in the outpatient setting, 16 treated in an urgent care or ED setting, and 14 hospitalized. Data were analyzed using inductive content analysis. Participants were primarily male (97%) with a mean age of 69.1 ± 6.9 years, mean FEV1 1.42 (±0.63), and mean mMRC dyspnea of 2.7 (±1.1). We identified 4 primary themes: (i) access and attitudinal barriers contribute to reluctance to seek care, (ii) waiting is a typical response to new exacerbations, (iii) transitioning from waiting to care-seeking: the tipping point, and (iv) learning from and avoiding worse outcomes. Interventions to encourage earlier care-seeking for COPD exacerbations should consider individuals' existing self-management approaches, address attitudinal barriers to seeking care, and consider health-system changes to increase access to non-emergent outpatient treatment for exacerbations.Clinical Trial Registration NCT02725294.

Trends Over Time in the Risk of Adverse Outcomes Among Patients With Severe Acute Respiratory Syndrome Coronavirus 2 Infection.

BACKGROUND: We aimed to describe trends in adverse outcomes among patients who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) between February and September 2020 within a national healthcare system. METHODS: We identified enrollees in the national United States Veterans Affairs healthcare system who tested positive for SARS-CoV-2 between 28 February 2020 and 30 September 2020 (n = 55 952), with follow-up extending to 19 November 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.

Sociodemographic Characteristics and Physical Activity in Patients with COPD: A 3-Month Cohort Study.

Decreased physical activity (PA) is associated with morbidity and mortality in COPD patients. In this secondary analysis of data from a 12-week longitudinal study, we describe factors associated with PA in COPD. Participants completed the Physical Activity Checklist (PAC) daily for a 7- to 8-day period. PA was measured monthly using the Physical Activity Scale for the Elderly (PASE). At three different time points, daily step count was measured for one week with an Omron HJ-720ITC pedometer. The 35 participants were primarily male (94%) and White (91%), with an average age of 66.5 years and FEV1 44.9% predicted. Common activities reported on the PAC were walking (93%), preparing a meal (89%), and traveling by vehicle (96%). PA measured by both PASE score (p = 0.01) and average daily step count (p = 0.04) decreased during follow-up. In repeated measures multivariable modeling, participants living with others had a higher daily step count (ß = 942 steps, p = 0.01) and better PASE scores (ß = 46.4, p < 0.001). Older age was associated with decreased step count (ß = -77 steps, p < 0.001) whereas White race was associated with lower PASE scores (ß = -55.4, p < 0.001) compared to non-White race. Other demographic factors, quality of life, and medications were not associated with PA. A better understanding of the role of social networks and social support may help develop interventions to improve PA in COPD.

Development of COVIDVax Model to Estimate the Risk of SARS-CoV-2-Related Death Among 7.6 Million US Veterans for Use in Vaccination Prioritization.

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.

BMI and Outcomes of SARS-CoV-2 Among US Veterans.

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.

Serotonin transporter gene polymorphisms and depressive symptoms in patients with chronic obstructive pulmonary disease.

Background: We examined the relationship between polymorphisms in the promoter region of the serotonin transport (SERT) gene (5-HTTLPR, short 'S' and long 'L' alleles) and in intron 2 variable number tandem repeat (STin2VNTR, 9, 10, or 12-repeat alleles) with depression or anxiety in patients with COPD.Methods: 302 patients with moderate to severe COPD participated in SERT study. History and number of prior depressive episodes were measured using the Structured Clinical Interview for Depression; Hospital Anxiety Depression Scale (HAD) depression ≥8 or a Patient Health Questionnaire-9 (PHQ-9) >,10.Results: 240 (80%) male sample had a mean age of 68.0 years. Current depression was 22% (HAD) or 21% (PHQ-9), anxiety was 25% (HAD), and suicidal ideation (6%). 5-HTTLPR or STin2 VNTR genotypes were not associated with current depressive or anxiety symptoms. The mean number of prior depressive episodes was higher for patients with the 5-HTTLPR genotype S/S or S/L compared with L/L (4.4 ± 6.1; 5.3 ± 6.8; 4.0 ± 6.1, p < 0.001) and with STin2VNTR high-risk genotype (9/12 or 12/12), medium risk (9/10 or 10/12) compared to low risk (10/10) genotypes (5.1 ± 6.8; 4.9 ± 6.7; 2.7 ± 4.5, p < 0.001).Conclusions: SERT 5-HTTLPR and STin2-VNTR polymorphisms were not associated with current depressive and anxiety symptoms, but the high-risk STin2-VNTR genotypes and S/L were associated with the number of prior depressive episodes.

Cirrhosis and Severe Acute Respiratory Syndrome Coronavirus 2 Infection in US Veterans: Risk of Infection, Hospitalization, Ventilation, and Mortality.

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.

Risk Factors for Testing Positive for Severe Acute Respiratory Syndrome Coronavirus 2 in a National United States Healthcare System.

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.

Risk Factors for Hospitalization, Mechanical Ventilation, or Death Among 10 131 US Veterans With SARS-CoV-2 Infection.

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.

Frailty in Chronic Obstructive Pulmonary Disease and Risk of Exacerbations and Hospitalizations.

Background: Frailty is a complex clinical syndrome associated with vulnerability to adverse health outcomes. While frailty is thought to be common in chronic obstructive pulmonary disease (COPD), the relationship between frailty and COPD-related outcomes such as risk of acute exacerbations of COPD (AE-COPD) and hospitalizations is unclear. Purpose: To examine the association between physical frailty and risk of acute exacerbations, hospitalizations, and mortality in patients with COPD. Methods: A longitudinal analysis of data from a cohort of 280 participants was performed. Baseline frailty measures included exhaustion, weakness, low activity, slowness, and undernutrition. Outcome measures included AE-COPD, hospitalizations, and mortality over 2 years. Negative binomial regression and Cox proportional hazard modeling were used. Results: Sixty-two percent of the study population met criteria for pre-frail and 23% were frail. In adjusted analyses, the frailty syndrome was not associated with COPD exacerbations. However, among the individual components of the frailty syndrome, weakness measured by handgrip strength was associated with increased risk of COPD exacerbations (IRR 1.46, 95% CI 1.09-1.97). The frailty phenotype was not associated with all-cause hospitalizations but was associated with increased risk of non-COPD-related hospitalizations. Conclusion: This longitudinal cohort study shows that a high proportion of patients with COPD are pre-frail or frail. The frailty phenotype was associated with an increased risk of non-COPD hospitalizations but not with all-cause hospitalizations or COPD exacerbations. Among the individual frailty components, low handgrip strength was associated with increased risk of COPD exacerbations over a 2-year period. Measuring handgrip strength may identify COPD patients who could benefit from programs to reduce COPD exacerbations.

Serum IgG Levels and Risk of COPD Hospitalization: A Pooled Meta-analysis.

BACKGROUND: Hypogammaglobulinemia (serum IgG levels < 7.0 g/L) has been associated with increased risk of COPD exacerbations but has not yet been shown to predict hospitalizations. RESEARCH QUESTION: To determine the relationship between hypogammaglobulinemia and the risk of hospitalization in patients with COPD. STUDY DESIGN AND METHODS: Serum IgG levels were measured on baseline samples from four COPD cohorts (n = 2,259): Azithromycin for Prevention of AECOPD (MACRO, n = 976); Simvastatin in the Prevention of AECOPD (STATCOPE, n = 653), Long-Term Oxygen Treatment Trial (LOTT, n = 354), and COPD Activity: Serotonin Transporter, Cytokines and Depression (CASCADE, n = 276). IgG levels were determined by immunonephelometry (MACRO; STATCOPE) or mass spectrometry (LOTT; CASCADE). The effect of hypogammaglobulinemia on COPD hospitalization risk was evaluated using cumulative incidence functions for this outcome and deaths (competing risk). Fine-Gray models were performed to obtain adjusted subdistribution hazard ratios (SHR) related to IgG levels for each study and then combined using a meta-analysis. Rates of COPD hospitalizations per person-year were compared according to IgG status. RESULTS: The overall frequency of hypogammaglobulinemia was 28.4%. Higher incidence estimates of COPD hospitalizations were observed among participants with low IgG levels compared with those with normal levels (Gray's test, P < .001); pooled SHR (meta-analysis) was 1.29 (95% CI, 1.06-1.56, P = .01). Among patients with prior COPD admissions (n = 757), the pooled SHR increased to 1.58 (95% CI, 1.20-2.07, P < .01). The risk of COPD admissions, however, was similar between IgG groups in patients with no prior hospitalizations: pooled SHR = 1.15 (95% CI, 0.86-1.52, P =.34). The hypogammaglobulinemia group also showed significantly higher rates of COPD hospitalizations per person-year: 0.48 ± 2.01 vs 0.29 ± 0.83, P < .001. INTERPRETATION: Hypogammaglobulinemia is associated with a higher risk of COPD hospital admissions.