scholarly journals Outcomes of hydroxychloroquine usage in United States veterans hospitalized with Covid-19

2020 ◽  
Author(s):  
Joseph Magagnoli ◽  
Siddharth Narendran ◽  
Felipe Pereira ◽  
Tammy Cummings ◽  
James W. Hardin ◽  
...  
Keyword(s):  
United States ◽  
Mechanical Ventilation ◽  
Propensity Scores ◽  
Hazard Ratio ◽  
Adjusted Hazard Ratio ◽  
Veterans Health ◽  
Health Administration ◽  
Subdistribution Hazard ◽  
Risk Of Death ◽  
Randomized Controlled Studies

ABSTRACTBACKGROUNDDespite limited and conflicting data on the use of hydroxychloroquine in patients with Covid-19, the U.S. Food and Drug Administration has authorized the emergency use of this drug when clinical trials are unavailable or infeasible. Hydroxychloroquine, alone or in combination with azithromycin, is being widely used in Covid-19 therapy based on anecdotal and limited observational evidence.METHODSWe performed a retrospective analysis of data from patients hospitalized with confirmed SARS-CoV-2 infection in all United States Veterans Health Administration medical centers until April 11, 2020. Patients were categorized based on their exposure to hydroxychloroquine alone (HC) or with azithromycin (HC+AZ) as treatments in addition to standard supportive management for Covid-19. The two primary outcomes were death and the need for mechanical ventilation. We determined the association between treatment and the primary outcomes using competing risk hazard regression adjusting for clinical characteristics via propensity scores. Discharge and death were taken into account as competing risks and subdistribution hazard ratios are presented.RESULTSA total of 368 patients were evaluated (HC, n=97; HC+AZ, n=113; no HC, n=158). Rates of death in the HC, HC+AZ, and no HC groups were 27.8%, 22.1%, 11.4%, respectively. Rates of ventilation in the HC, HC+AZ, and no HC groups were 13.3%, 6.9%, 14.1%, respectively. Compared to the no HC group, the risk of death from any cause was higher in the HC group (adjusted hazard ratio, 2.61; 95% CI, 1.10 to 6.17; P=0.03) but not in the HC+AZ group (adjusted hazard ratio, 1.14; 95% CI, 0.56 to 2.32; P=0.72). The risk of ventilation was similar in the HC group (adjusted hazard ratio, 1.43; 95% CI, 0.53 to 3.79; P=0.48) and in the HC+AZ group (adjusted hazard ratio, 0.43; 95% CI, 0.16 to 1.12; P=0.09), compared to the no HC group.CONCLUSIONSIn this study, we found no evidence that use of hydroxychloroquine, either with or without azithromycin, reduced the risk of mechanical ventilation in patients hospitalized with Covid-19. An association of increased overall mortality was identified in patients treated with hydroxychloroquine alone. These findings highlight the importance of awaiting the results of ongoing prospective, randomized, controlled studies before widespread adoption of these drugs.

scholarly journals Associations between stopping prescriptions for opioids, length of opioid treatment, and overdose or suicide deaths in US veterans: observational evaluation

BMJ ◽  
2020 ◽  
pp. m283 ◽  
Author(s):  
Elizabeth M Oliva ◽  
Thomas Bowe ◽  
Ajay Manhapra ◽  
Stefan Kertesz ◽  
Jennifer M Hah ◽  
...  
Keyword(s):  
Opioid Analgesic ◽  
Veterans Health Administration ◽  
Fiscal Year ◽  
Veterans Health ◽  
Health Administration ◽  
Opioid Treatment ◽  
Risk Of Death ◽  
Length Of Treatment ◽  
Increased Risk ◽  
Stopping Treatment

Abstract Objective To examine the associations between stopping treatment with opioids, length of treatment, and death from overdose or suicide in the Veterans Health Administration. Design Observational evaluation. Setting Veterans Health Administration. Participants 1 394 102 patients in the Veterans Health Administration with an outpatient prescription for an opioid analgesic from fiscal year 2013 to the end of fiscal year 2014 (1 October 2012 to 30 September 2014). Main outcome measures A multivariable Cox non-proportional hazards regression model examined death from overdose or suicide, with the interaction of time varying opioid cessation by length of treatment (≤30, 31-90, 91-400, and >400 days) as the main covariates. Stopping treatment with opioids was measured as the time when a patient was estimated to have no prescription for opioids, up to the end of the next fiscal year (2014) or the patient’s death. Results 2887 deaths from overdose or suicide were found. The incidence of stopping opioid treatment was 57.4% (n = 799 668) overall, and based on length of opioid treatment was 32.0% (≤30 days), 8.7% (31-90 days), 22.7% (91-400 days), and 36.6% (>400 days). The interaction between stopping treatment with opioids and length of treatment was significant (P<0.001); stopping treatment was associated with an increased risk of death from overdose or suicide regardless of the length of treatment, with the risk increasing the longer patients were treated. Hazard ratios for patients who stopped opioid treatment (with reference values for all other covariates) were 1.67 (≤30 days), 2.80 (31-90 days), 3.95 (91-400 days), and 6.77 (>400 days). Descriptive life table data suggested that death rates for overdose or suicide increased immediately after starting or stopping treatment with opioids, with the incidence decreasing over about three to 12 months. Conclusions Patients were at greater risk of death from overdose or suicide after stopping opioid treatment, with an increase in the risk the longer patients had been treated before stopping. Descriptive data suggested that starting treatment with opioids was also a risk period. Strategies to mitigate the risk in these periods are not currently a focus of guidelines for long term use of opioids. The associations observed cannot be assumed to be causal; the context in which opioid prescriptions were started and stopped might contribute to risk and was not investigated. Safer prescribing of opioids should take a broader view on patient safety and mitigate the risk from the patient’s perspective. Factors to address are those that place patients at risk for overdose or suicide after beginning and stopping opioid treatment, especially in the first three months.

Transformation of the US Veterans Health Administration

2006 ◽  
Vol 1 (2) ◽  
pp. 99-105 ◽  
Author(s):  
Jonathan B. Perlin
Keyword(s):  
United States ◽  
Health Care ◽  
Veterans Health Administration ◽  
The United States ◽  
Veterans Affairs ◽  
United States Department ◽  
Veterans Health ◽  
Department Of Veterans Affairs ◽  
Health Administration ◽  
The Us

Ten years ago, it would have been hard to imagine the publication of an issue of a scholarly journal dedicated to applying lessons from the transformation of the United States Department of Veterans Affairs Health System to the renewal of other countries' national health systems. Yet, with the recent publication of a dedicated edition of the Canadian journal Healthcare Papers (2005), this actually happened. Veterans Affairs health care also has been similarly lauded this past year in the lay press, being described as ‘the best care anywhere’ in the Washington Monthly, and described as ‘top-notch healthcare’ in US News and World Report's annual health care issue enumerating the ‘Top 100 Hospitals’ in the United States (Longman, 2005; Gearon, 2005).

scholarly journals Risk Factors for Hospital Admission After a Fall: A Prospective Cohort Study of Community-Dwelling Older People

2020 ◽  
Author(s):  
Jessica G Abell ◽  
Camille Lassale ◽  
G David Batty ◽  
Paola Zaninotto
Keyword(s):  
Risk Factors ◽  
Urinary Incontinence ◽  
Cohort Study ◽  
Hospital Admission ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Hazard Ratio ◽  
Community Dwelling ◽  
Subdistribution Hazard ◽  
Risk Of Death

Abstract Background Falls in later life that require admission to hospital have well-established consequences for future disability and health. The likelihood and severity of a fall will result from the presence of one or more risk factors. The aim of this study is to examine risk factors identified for their ability to prevent falls and to assess whether they are associated with hospital admission after a fall. Methods Analyses of data from the English Longitudinal Study of Aging (ELSA), a prospective cohort study. In a sample of 3783 men and women older than 60 years old, a range of potential risk factors measured at Wave 4 (demographic, social environment, physical, and mental functioning) were examined as predictors of fall-related hospitalizations, identified using International Classification of Diseases, 10th Revision (ICD-10) code from linked hospital records in the United Kingdom. Subdistribution hazard models were used to account for competing risk of death. Results Several risk factors identified by previous work were confirmed. Suffering from urinary incontinence (subdistribution hazard ratio = 1.49; 95% CI: 1.14, 1.95) and osteoporosis (subdistribution hazard ratio = 1.48; 95% CI: 1.05, 2.07), which are not commonly considered at an early stage of screening, were found to be associated with hospital admission after a fall. Both low and moderate levels of physical activity were also found to somewhat increase the risk of hospital admission after a fall. Conclusions Several predictors of having a fall, severe enough to require hospital admission, have been confirmed. In particular, urinary incontinence should be considered at an earlier point in the assessment of risk.

scholarly journals Implementation evaluation of academic detailing on naloxone prescribing trends at the United States Veterans Health Administration

2019 ◽  
Vol 54 (5) ◽  
pp. 1055-1064 ◽  
Author(s):  
Mark Bounthavong ◽  
Emily Beth Devine ◽  
Melissa L. D. Christopher ◽  
Michael A. Harvey ◽  
David L. Veenstra ◽  
...  
Keyword(s):  
United States ◽  
Veterans Health Administration ◽  
The United States ◽  
Veterans Health ◽  
Academic Detailing ◽  
Health Administration ◽  
Implementation Evaluation ◽  
Prescribing Trends

scholarly journals Confounding by indication of the safety of de-escalation in community-acquired pneumonia: a simulation study embedded in a prospective cohort

2019 ◽  
Author(s):  
Inger van Heijl ◽  
Valentijn A. Schweitzer ◽  
C.H. Edwin Boel ◽  
Jan Jelrik Oosterheert ◽  
Susanne M. Huijts ◽  
...  
Keyword(s):  
Propensity Scores ◽  
Proportional Hazards ◽  
Community Acquired Pneumonia ◽  
Cox Proportional Hazards ◽  
Hazard Ratio ◽  
Adjusted Hazard Ratio ◽  
Confounding By Indication ◽  
Potential Impact ◽  
Using Data ◽  
Clinical Stability

BackgroundObservational studies have demonstrated that de-escalation of antimicrobial therapy is independently associated with lower mortality. This most probably results from confounding by indication. Reaching clinical stability is associated with the decision to de-escalate and with survival. However, studies rarely adjust for this confounder. We quantified the potential confounding effect of clinical stability on the estimated impact of de-escalation on mortality in patients with community-acquired pneumonia.MethodsData were used from the Community-Acquired Pneumonia immunization Trial in Adults (CAPiTA). The primary outcome was 30-day mortality. We performed Cox proportional-hazards regression with de-escalation as time-dependent variable and adjusted for baseline characteristics using propensity scores. The potential impact of unmeasured confounding was quantified through simulating a variable representing clinical stability on day three, using data on prevalence and associations with mortality from the literature.ResultsOf 1,536 included patients, 257 (16.7%) were de-escalated, 123 (8.0%) were escalated and in 1156 (75.3%) the antibiotic spectrum remained unchanged. The adjusted hazard ratio of de-escalation for 30-day mortality (compared to patients with unchanged coverage), without adjustment for clinical stability, was 0.36 (95%CI: 0.18-0.73). If 90% to 100% of de-escalated patients were clinically stable on day three, the fully adjusted hazard ratio would be 0.53 (95%CI: 0.26-1.08) to 0.90 (95%CI: 0.42-1.91), respectively. The simulated confounder was substantially stronger than any of the baseline confounders in our dataset.ConclusionsWith plausible, literature-based assumptions, clinical stability is a very strong confounder for the effects of de-escalation. Quantification of effects of de-escalation on patient outcomes without proper adjustment for clinical stability results in strong negative bias. As a result, the safety of de-escalation remains to be determined.

Cataract surgery practice patterns in the United States Veterans Health Administration

2012 ◽  
Vol 38 (4) ◽  
pp. 705-709 ◽  
Author(s):  
Paul B. Greenberg ◽  
Annika Havnaer ◽  
Thomas A. Oetting ◽  
Francisco J. Garcia-Ferrer
Keyword(s):  
United States ◽  
Cataract Surgery ◽  
Practice Patterns ◽  
Veterans Health Administration ◽  
The United States ◽  
Veterans Health ◽  
Health Administration

scholarly journals 1164. County-Level Geographic Distribution of Extended-Spectrum Cephalosporin-Resistant Enterobacteriaceae Across Outpatient Settings of the Veterans Health Administration, 2000–2017

2018 ◽  
Vol 5 (suppl_1) ◽  
pp. S350-S351
Author(s):  
Michihiko Goto ◽  
Rajeshwari Nair ◽  
Daniel Livorsi ◽  
Marin Schweizer ◽  
Michael Ohl ◽  
...  
Keyword(s):  
United States ◽  
Veterans Health Administration ◽  
The United States ◽  
Incidence Rates ◽  
County Level ◽  
Veterans Health ◽  
Health Administration ◽  
Geographic Variability ◽  
Extended Spectrum ◽  
Outpatient Settings

Abstract Background Extended-spectrum cephalosporin resistance (ESCR) among Enterobacteriaceae has emerged globally over the last two decades, with increased prevalence in the community. Data from European countries and healthcare-associated isolates in the United States have demonstrated substantial geographic variability in the prevalence of ESCR, but community-onset isolates in the United States have been less studied. We aimed to describe geographic distribution and spread of ESCR among outpatient settings across the Veterans Health Administration (VHA) over 18 years. Methods We analyzed a retrospective cohort of all patients who had any positive clinical culture specimen for ESCR Enterobacteriaceae collected in an outpatient setting; ESCR was defined by phenotypic nonsusceptibility to at least one extended-spectrum cephalosporin agent or detection of an extended-spectrum β-lactamase. Patient-level data were grouped by county of residence, and the total number of unique patients who received care within VHA for each county was used as a denominator. We aggregated data by time terciles (2000–2005, 2006–2011, and 2012–2017), and overall and county-level incidence rates were calculated as the number of unique patients in each year with ESCR Enterobacteriaceae per person-year. Results During the study period, there were 1,980,095 positive cultures for Enterobacteriaceae from 870,797 unique patients across outpatient settings of VHA, from a total of 107,404,504 person-years. Among those, 136,185 cultures (6.9%) from 75,500 unique patients (8.7%) were ESCR. The overall incidence rate was 9.0 cases per 10,000 person-years, which increased from 6.3 per 10,000 person-years in 2000 to 14.6 per 10,000 person-years in 2017. County-level incidence rates ranged widely but increased overall (interquartile range [IQR] in 2000–2005: 0–6.7; 2006–2011: 0–9.1; 2012–2017: 3.1–14.3 per 10,000 person-years), with some geographic clustering (figure). Conclusion This study demonstrates that there has been geographic variation both in incidence rates and trends of ESCR Enterobacteriaceae in outpatient settings of VHA, which suggests the importance of tailoring local antibiotic-prescribing guidelines incorporating geographic variability in epidemiology. Disclosures M. Ohl, Gilead Sciences, Inc.: Grant Investigator, Research grant.

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