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1.
Mil Med ; 2023 Feb 03.
Article in English | MEDLINE | ID: mdl-36734126

ABSTRACT

INTRODUCTION: Over the last two decades, the conflicts in Iraq and Afghanistan have cost the United States significantly in terms of lives lost, disabling injuries, and budgetary expenditures. This manuscript calculates the differences in costs between veterans with combat injuries vs veterans without combat injuries. This work could be used to project future costs in subsequent studies. MATERIALS AND METHODS: In this retrospective cohort study, we randomly selected 7,984 combat-injured veterans between February 1, 2002, and June 14, 2016, from Veterans Affairs Health System administrative data. We matched injured veterans 1:1 to noninjured veterans on year of birth (± 1 year), sex, and first service branch. We observed patients for a maximum of 10 years. This research protocol was reviewed and approved by the David Grant USAF Medical Center institutional review board (IRB), the University of Utah IRB, and the Research Review Committee of the VA Salt Lake City Health Care System in accordance with all applicable Federal regulations. RESULTS: Patients were primarily male (98.1% in both groups) and White (76.4% for injured patients, 72.3% for noninjured patients), with a mean (SD) age of 26.8 (6.6) years for the injured group and 27.7 (7.0) years for noninjured subjects. Average total costs for combat-injured service members were higher for each year studied. The difference was highest in the first year ($16,050 compared to $4,135 for noninjured). These differences remained significant after adjustment. Although this difference was greatest in the first year (marginal effect $12,386, 95% confidence interval $9,736-$15,036; P < 0.001), total costs continued to be elevated in years 2-10, with marginal effects ranging from $1,766 to $2,597 (P < 0.001 for all years). More severe injuries tended to increase costs in all categories. CONCLUSIONS: Combat injured patients have significantly higher long-term health care costs compared to their noninjured counterparts. If this random sample is extrapolated to the 53,251 total of combat wounded service members, it implies a total excess cost of $1.6 billion to date after adjustment for covariates and a median follow-up time of 10 years. These costs are likely to increase as injured veterans age and develop additional chronic conditions.

2.
Mil Med ; 188(3-4): 541-546, 2023 03 20.
Article in English | MEDLINE | ID: mdl-35639913

ABSTRACT

BACKGROUND: Accurate accounting of coronavirus disease 2019 (COVID-19) critical care outcomes has important implications for health care delivery. RESEARCH QUESTION: We aimed to determine critical care and organ support outcomes of intensive care unit (ICU) COVID-19 patients and whether they varied depending on the completeness of study follow-up or admission time period. STUDY DESIGN AND METHODS: We conducted a systematic review and meta-analysis of reports describing ICU, mechanical ventilation (MV), renal replacement therapy (RRT), and extracorporeal membrane oxygenation (ECMO) mortality. A search was conducted using PubMed, Embase, and Cochrane databases.We included English language observational studies of COVID-19 patients, reporting ICU admission, MV, and ICU case fatality, published from December 1, 2019 to December 31, 2020. We excluded reports of less than 5 ICU patients and pediatric populations. Study characteristics, patient demographics, and outcomes were extracted from each article. Subgroup meta-analyses were performed based on the admission end date and the completeness of data. RESULTS: Of 6,778 generated articles, 145 were retained for inclusion (n = 60,357 patients). Case fatality rates across all studies were 34.0% (95% CI = 30.7%, 37.5%, P < 0.001) for ICU deaths, 47.9% (95% CI = 41.6%, 54.2%, P < 0.001) for MV deaths, 58.7% (95% CI = 50.0%, 67.2%, P < 0.001) for RRT deaths, and 43.3% (95% CI = 31.4%, 55.4%, P < 0.001) for extracorporeal membrane oxygenation deaths. There was no statistically significant difference in ICU and organ support outcomes between studies with complete follow-up versus studies without complete follow-up. Case fatality rates for ICU, MV, and RRT deaths were significantly higher in studies with patients admitted before April 31st 2020. INTERPRETATION: Coronavirus disease 2019 critical care outcomes have significantly improved since the start of the pandemic. Intensive care unit outcomes should be evaluated contextually (study quality, data completeness, and time) for the most accurate reporting and to effectively guide mortality predictions.


Subject(s)
COVID-19 , Child , Humans , COVID-19/epidemiology , COVID-19/therapy , Critical Care , Intensive Care Units , Hospitalization , Patients
3.
Suicide Life Threat Behav ; 53(2): 227-240, 2023 04.
Article in English | MEDLINE | ID: mdl-36576267

ABSTRACT

INTRODUCTION: Examinations of risk factors for suicide attempt in United States service members at high risk of mental health diagnoses, such as those with combat injuries, are essential to guiding prevention and intervention efforts. METHODS: Retrospective cohort study of 8727 combat-injured patients matched to deployed, non-injured patients utilizing Department of Defense and Veterans Affairs administrative records. RESULTS: Combat injury was positively associated with suicide attempt in the univariate model (HR = 1.75, 95% CI 1.5-2.1), but lost significance after adjustment for mental health diagnoses. Utilizing Latent Transition Analysis in the combat-injured group, we identified five mental/behavioral health profiles: (1) Few mental health diagnoses, (2) PTSD and depressive disorders, (3) Adjustment disorder, (4) Multiple mental health comorbidities, and (5) Multiple mental health comorbidities with alcohol use disorder (AUD). Multiple mental health comorbidities with AUD had the highest suicide attempt rate throughout the study and more than four times that of Multiple mental health comorbidities in the first study year (23.4 vs. 5.1 per 1000 person years, respectively). CONCLUSION: Findings indicate that (1) combat injury's impact on suicide attempt is attenuated by mental health and (2) AUD with multiple mental health comorbidities confers heightened suicide attempt risk in combat-injured service members.


Subject(s)
Mental Disorders , Military Personnel , Suicide, Attempted , War-Related Injuries , Humans , Male , Female , Young Adult , Adult , Mental Disorders/diagnosis , Mental Disorders/epidemiology , Mental Disorders/psychology , Military Personnel/psychology , Suicide, Attempted/prevention & control , Suicide, Attempted/psychology , Suicide, Attempted/statistics & numerical data , War-Related Injuries/epidemiology , War-Related Injuries/psychology , Retrospective Studies , United States/epidemiology , United States Department of Defense , Veterans Health , Afghan Campaign 2001- , Iraq War, 2003-2011 , Multivariate Analysis , Latent Class Analysis
4.
J Cardiovasc Electrophysiol ; 32(9): 2590-2594, 2021 09.
Article in English | MEDLINE | ID: mdl-34197003

ABSTRACT

INTRODUCTION: Atrial fibrillation and atrial flutter (AF/AFL), the most common atrial arrhythmias, have never been examined in combat casualties. In this study, we investigated the impact of traumatic injury on AF/AFL among service members with deployment history. METHODS: Sampled from the Department of Defense (DoD) Trauma Registry (n = 10,000), each injured patient in this retrospective cohort study was matched with a non-injured service member drawn from the Veterans Affairs/DoD Identity Repository. The primary outcome was AF/AFL diagnosis identified using ICD-9-CM and ICD-10-CM codes. Competing risk regressions based on Fine and Gray subdistribution hazards model with were utilized to assess the association between injury and AF/AFL. RESULTS: There were 130 reported AF/AFL cases, 90 of whom were injured and 40 were non-injured. The estimated cumulative incidence rates of AF/AFL for injured was higher compared to non-injured patients (hazards ratio [HR] = 2.04; 95% confidence interval [CI] = 1.44, 2.87). After adjustment demographics and tobacco use, the association did not appreciably decrease (HR = 1.90; 95% CI = 1.23, 2.93). Additional adjustment for obesity, hypertension, diabetes, and vascular disorders, the association between injury and AF/AFL was no longer statistically significant (HR = 1.51; 95% CI = 0.99, 2.52). CONCLUSION: Higher AF/AFL incidence rate was observed among deployed service members with combat injury compared to servicemembers without injury. The association did not remain significant after adjustment for cardiovascular-related covariates. These findings highlight the need for combat casualty surveillance to further understand the AF/AFL risk within the military population and to elucidate the potential underlying pathophysiologic mechanisms.


Subject(s)
Atrial Fibrillation , Atrial Flutter , Atrial Fibrillation/diagnosis , Atrial Fibrillation/epidemiology , Atrial Flutter/diagnosis , Atrial Flutter/epidemiology , Humans , Incidence , Proportional Hazards Models , Retrospective Studies
5.
J Clin Med ; 10(11)2021 Jun 01.
Article in English | MEDLINE | ID: mdl-34205928

ABSTRACT

Since the initial identification of the novel coronavirus SARS-CoV-2 in December 2019, the COVID-19 pandemic has become a leading cause of morbidity and mortality worldwide. As effective vaccines and treatments begin to emerge, it will become increasingly important to identify and proactively manage the long-term respiratory complications of severe disease. The patterns of imaging abnormalities coupled with data from prior coronavirus outbreaks suggest that patients with severe COVID-19 pneumonia are likely at an increased risk of progression to interstitial lung disease (ILD) and chronic pulmonary vascular disease. In this paper, we briefly review the definition, classification, and underlying pathophysiology of interstitial lung disease (ILD). We then review the current literature on the proposed mechanisms of lung injury in severe COVID-19 infection, and outline potential viral- and immune-mediated processes implicated in the development of post-COVID-19 pulmonary fibrosis (PCPF). Finally, we address patient-specific and iatrogenic risk factors that could lead to PCPF and discuss strategies for reducing risk of pulmonary complications/sequelae.

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