The prevalence and treatment of hypertension in Veterans Health Administration, assessing the impact of the updated clinical guidelines.

OBJECTIVE: Hypertension is the most common risk factor for cardiovascular disease (CVD). Several guidelines have lowered diagnostic blood pressure (BP) thresholds and treatment targets for hypertension. We evaluated the impact of the more stringent guidelines among Veterans, a population at high risk of CVD. METHODS: We conducted a retrospective analysis of Veterans with at least two office BP measurements between January 2016 and December 2017. Prevalent hypertension was defined as diagnostic codes related to hypertension, prescribed antihypertensive drugs, or office BP values according to the BP cutoffs at least 140/90 mmHg (Joint National Committee 7 [JNC 7]), at least 130/80 mmHg [American College of Cardiology/American Heart Association (ACC/AHA)], or the 2020 Veterans Health Administration (VHA) guideline (BP ≥130/90 mmHg). Uncontrolled BP was defined per the VHA guideline as mean SBP ≥130 mmHg or DBP ≥90 mmHg. RESULTS: The prevalence of hypertension increased from 71% for BP at least 140/90 to 81% for BP at least 130/90 mmHg and further to 87% for BP at least 130/80 mmHg. Among Veterans with known hypertension ( n  = 2 768 826), a majority [ n  = 1 818 951 (66%)] were considered to have uncontrolled BP per the VHA guideline. Lowering the treatment targets for SBP and DBP significantly increased the number of Veterans who would require initiation of or intensification of pharmacotherapy. The majority of Veterans with uncontrolled BP and at least one CVD risk factor remained uncontrolled after 5 years of follow-up. CONCLUSION: Lowering the BP diagnostic and treatment cutoffs increases the burden on healthcare systems significantly. Targeted interventions are needed to achieve the BP treatment goals.

An automated computerized critical illness severity scoring system derived from APACHE III: modified APACHE.

PURPOSE: To evaluate the performance of an automated computerized ICU severity scoring derived from the APACHE III. MATERIALS AND METHODS: Within a retrospective cohort of patients admitted to Veterans Health Administration ICUs between 2009 and 2015, we created an automated illness severity score(modified APACHE or mAPACHE), that we extracted from the electronic health records, using the same scoring as the APACHE III excluding the Glasgow Coma Scale, urine output, arterial blood gas components of APACHE III. We assessed the mAPACHE discrimination by using the area under the curve(AUC), and calibration by using the Hosmer-Lemeshow test and calculating the difference between observed and expected mortality across equal-sized risk deciles for death. RESULTS: The ICU and 30-day mortality was 5.07% of 7.82%, respectively (n = 490,955 patients). The AUC of mAPACHE for ICU and 30-day mortality was 0.771 and 0.786, respectively. The Hosmer-Lemeshow test was significant for both ICU and 30-day mortality (p < .001). The absolute difference between observed and expected mortality did not exceed ±1.53% across equal-sized deciles of risk for death. The AUC for ICU mortality was >0.7 in all admission diagnosis categories except in endocrine, respiratory, and sepsis. The AUC for 30-day mortality was >0.7 in every category. CONCLUSION: mAPACHE has adequate performance to predict mortality.

ICU Telemedicine Reduces Interhospital ICU Transfers in the Veterans Health Administration.

BACKGROUND: The effect of ICU telemedicine on transfers is not well studied. This study tests the hypothesis that ICU telemedicine decreases ICU patient interhospital transfers. METHODS: Data were retrieved for patients admitted to 306 Veterans Affairs ICUs in 117 acute care facilities between 2011 and 2015. Telemedicine was provided to 52 ICUs in 23 acute care facilities by two support centers located in Minneapolis and Cincinnati. We compared interhospital transfer rates in ICU telemedicine-affiliated hospitals with transfer rates of facilities with no telemedicine program. We used generalized linear mixed multivariable models to assess the association of ICU telemedicine with transfer rates and 30-day mortality. RESULTS: A total of 553,523 admissions to Veterans Affairs ICUs (97,256 to telemedicine hospitals; 456,267 to non-telemedicine hospitals) were analyzed. Transfers decreased from 3.46% to 1.99% in the telemedicine hospitals and from 2.03% to 1.68% in the non-telemedicine facilities between pre- and post-telemedicine implementation periods (P < .001). After adjusting for demographics, illness severity, admission diagnosis, and facility, ICU telemedicine was associated with overall reduced transfers with a relative risk (RR) of 0.79 (95% CI, 0.71-0.87; P < .001); this reduction occurred in patients with moderate (RR, 0.77; 95% CI, 0.61-0.98; P =.034), moderate to high (RR, 0.79; 95% CI, 0.63-0.98; P =.035), and high illness severity (RR, 0.73; 95% CI, 0.60-0.90; P =.003) and in nonsurgical patients (RR, 0.82; 95% CI, 0.73-0.92; P =.001). Transfers decreased in patients admitted with GI (RR, 0.55; 95% CI, 0.41-0.74, P < .001) and respiratory admission diagnoses (RR, 0.52; 95% CI, 0.38-0.71; P < .001). ICU telemedicine was not associated with an increase in 30-day mortality. CONCLUSIONS: ICU telemedicine was associated with a decrease in interhospital ICU transfers.