Trends in the Prevalence of Multiple Chronic Conditions Among US Adults With Hypertension From 1999-2000 Through 2017-2020.

BACKGROUND: The prevalence of many chronic conditions has increased among US adults. Many adults with hypertension have other chronic conditions. METHODS: We estimated changes in the age-adjusted prevalence of multiple (≥3) chronic conditions, not including hypertension, using data from the National Health and Nutrition Examination Survey, from 1999-2000 to 2017-2020, among US adults with (n = 24,851) and without (n = 24,337 hypertension. Hypertension included systolic blood pressure (BP) ≥130 mm Hg, diastolic BP ≥80 mm Hg, or antihypertensive medication use. We studied 14 chronic conditions: arthritis, asthma, cancer, coronary heart disease, chronic kidney disease, depression, diabetes, dyslipidemia, hepatitis B, hepatitis C, heart failure, lung disease, obesity, and stroke. RESULTS: From 1999-2000 to 2017-2020, the age-adjusted mean number of chronic conditions increased more among US adults with vs. without hypertension (2.2 to 2.8 vs. 1.7 to 2.0; P-interaction <0.001). Also, the age-adjusted prevalence of multiple chronic conditions increased from 39.0% to 52.0% among US adults with hypertension and from 26.0% to 30.0% among US adults without hypertension (P-interaction = 0.022). In 2017-2020, after age, gender, and race/ethnicity adjustment, US adults with hypertension were 1.94 (95% confidence interval: 1.72-2.18) times as likely to have multiple chronic conditions compared to those without hypertension. In 2017-2020, dyslipidemia, obesity, and arthritis were the most common 3 co-occurring chronic conditions among US adults with and without hypertension (age-adjusted prevalence 16.5% and 3.1%, respectively). CONCLUSIONS: In 2017-2020, more than half of US adults with hypertension had ≥3 additional chronic conditions, a substantial increase from 20 years ago.

Biomarkers vs Machines: The Race to Predict Acute Kidney Injury.

BACKGROUND: Acute kidney injury (AKI) is a serious complication affecting up to 15% of hospitalized patients. Early diagnosis is critical to prevent irreversible kidney damage that could otherwise lead to significant morbidity and mortality. However, AKI is a clinically silent syndrome, and current detection primarily relies on measuring a rise in serum creatinine, an imperfect marker that can be slow to react to developing AKI. Over the past decade, new innovations have emerged in the form of biomarkers and artificial intelligence tools to aid in the early diagnosis and prediction of imminent AKI. CONTENT: This review summarizes and critically evaluates the latest developments in AKI detection and prediction by emerging biomarkers and artificial intelligence. Main guidelines and studies discussed herein include those evaluating clinical utilitiy of alternate filtration markers such as cystatin C and structural injury markers such as neutrophil gelatinase-associated lipocalin and tissue inhibitor of metalloprotease 2 with insulin-like growth factor binding protein 7 and machine learning algorithms for the detection and prediction of AKI in adult and pediatric populations. Recommendations for clinical practices considering the adoption of these new tools are also provided. SUMMARY: The race to detect AKI is heating up. Regulatory approval of select biomarkers for clinical use and the emergence of machine learning algorithms that can predict imminent AKI with high accuracy are all promising developments. But the race is far from being won. Future research focusing on clinical outcome studies that demonstrate the utility and validity of implementing these new tools into clinical practice is needed.

Multimorbidity is associated with lower total 24-hour movement activity among US adults.

Objective: Having chronic conditions may result in reduced physical and cognitive function but less is known about multimorbidity with daily movement. We examined the association of multimorbidity and device-measured total daily movement in a nationally representative sample of US adults aged ≥ 30 years from the 2011-2014 National Health and Nutrition Examination Surveys. Methods: Any multimorbidity (≥2 conditions) and complex multimorbidity (≥3 conditions across ≥ 3 body systems) were quantified using 16 chronic conditions via self-report and/or clinical thresholds. Total movement over 24-hours (Monitor-Independent Movement Summary units [MIMS-units]) was measured using a wrist-worn device (ActiGraph GT3X). Multivariable linear regression examined the association of 1) each chronic condition, 2) number of conditions, 3) any multimorbidity, and 4) complex multimorbidity with total movement. Covariates included age, gender, race/ethnicity, educational attainment, and smoking status. Results: Among US adults (N = 7304, mean age: 53.2 ± 0.34 years, 53.2% female, 69.4% Non-Hispanic White), 62.2% had any multimorbidity with 34.2% having complex multimorbidity. After adjustment, a higher number of chronic conditions was associated with incrementally lower total movement (ß MIMS-units [95% CI] compared to those with no chronic conditions; one: -419 [-772, -66], two: -605 [-933, -278], three: -1201 [-1506, -895], four: -1908 [-2351, -1465], 5+: -2972 [-3384, -2560]). Complex multimorbidity presence was associated with -1709 (95% CI: -2062, -1357) and -1269 (-1620, -918) lower total movement compared to those without multimorbidity and multimorbidity but not complex, respectively. Conclusions: Multimorbidity was associated with lower 24-h movement among US adults and may be helpful for identifying adults at risk for low movement.

Prevalence of Secondary Hypertension in Otherwise Healthy Youths with a New Diagnosis of Hypertension: A Meta-Analysis.

OBJECTIVE: To estimate the prevalence of secondary hypertension among otherwise healthy children with hypertension diagnosed in the outpatient setting. STUDY DESIGN: The MEDLINE, PubMed Central, Embase, Web of Science, and Cochrane Library databases were systematically searched for observational studies reporting the prevalence of secondary hypertension in children who underwent evaluation for hypertension and had no known comorbidities associated with hypertension at the time of diagnosis. Two authors independently extracted the study-specific prevalence of secondary hypertension in children evaluated for hypertension. Prevalence estimates for secondary hypertension were pooled in a random-effects meta-analysis. RESULTS: Nineteen prospective studies and 7 retrospective studies including 2575 children with hypertension were analyzed, with a median of 65 participants (range, 9-486) in each study. Studies conducted in primary care or school settings reported a lower prevalence of secondary hypertension (3.7%; 95% CI, 1.2%-7.2%) compared with studies conducted in referral clinics (20.1%; 95% CI, 11.5%-30.3%). When stratified by study setting, there were no significant subgroup differences according to study design, country, participant age range, hypertension definition, blood pressure device, or study quality. Although the studies applied different approaches to diagnosing secondary hypertension, diagnostic evaluations were at least as involved as the limited testing recommended by current guidelines. CONCLUSIONS: The low prevalence of secondary hypertension among children with a new diagnosis of hypertension identified on screening reinforces clinical practice guidelines to avoid extensive testing in the primary care setting for secondary causes in most children with hypertension.

Neighborhood Socioeconomic Status, Health Insurance, and CKD Prevalence: Findings From a Large Health Care System.

RATIONAL & OBJECTIVE: Neighborhood socioeconomic status (SES) and health insurance status may be important upstream social determinants of chronic kidney disease (CKD), but their relationship remains unclear. The aim of this study was to determine whether neighborhood SES and individual-level health insurance status were independently associated with CKD prevalence. STUDY DESIGN: Observational study using electronic health records (EHRs). SETTING & PARTICIPANTS: EHRs of patients (n = 185,269) seen at a health care system in the 7-county Minneapolis/St Paul area (2017-2018). EXPOSURES: Census tract neighborhood SES measures (median value of owner-occupied housing units [wealth], percentage of residents aged >25 years with bachelor's degree or higher [education]) and individual-level health insurance status (aged <65 years: Medicaid vs other insurance; ≥65 years: Medicare vs Medicare and supplemental insurance plan) were obtained from the American Community Survey and EHR data. Neighborhood SES was operationalized into quartiles, comparing low (first quartile) versus high (fourth quartile) neighborhood SES. OUTCOMES: CKD prevalence: estimated glomerular filtration rate < 60 mL/min/1.73 m2 or proteinuria. ANALYTIC APPROACH: Multilevel Poisson regression with robust error variance with a random intercept at the census-tract level, adjusted for demographic and clinical covariates, was used to estimate the association between neighborhood SES, insurance, and CKD. RESULTS: Neighborhood SES and insurance were independently associated with CKD prevalence. In covariate-adjusted models, patients living in low versus high neighborhood SES had a higher CKD prevalence among both younger and older patients. For example, the prevalence ratios of CKD in low versus high neighborhood SES as defined by education among patients younger than 65 and 65 years and older were 1.11 (95% CI, 1.05-1.18) and 1.08 (95% CI, 1.04-1.12), respectively. Patients younger than 65 years receiving Medicaid had higher CKD prevalence versus those with other insurance (1.51 [95% CI, 1.43-1.6]). For patients 65 years and older, insurance was not associated with prevalence of CKD in the fully adjusted model. LIMITATIONS: One health care system and selection bias. CONCLUSIONS: Living in low neighborhood SES as defined by wealth and education and having Medicaid for patients younger than 65 years were associated with higher CKD prevalence.

Neighborhood Socioeconomic Status and Identification of Patients With CKD Using Electronic Health Records.

RATIONALE & OBJECTIVE: Screening for chronic kidney disease (CKD) is recommended for patients with diabetes and hypertension as stated by the respective professional societies. However, CKD, a silent disease usually detected at later stages, is associated with low socioeconomic status (SES). We assessed whether adding census tract SES status to the standard screening approach improves our ability to identify patients with CKD. STUDY DESIGN: Screening test analysis. SETTINGS & PARTICIPANTS: Electronic health records (EHR) of 256,162 patients seen at a health care system in the 7-county Minneapolis/St. Paul area and linked census tract data. EXPOSURE: The first quartile of census tract SES (median value of owner-occupied housing units <$165,200; average household income <$35,935; percentage of residents >25 years of age with a bachelor's degree or higher <20.4%), hypertension, and diabetes. OUTCOMES: CKD (eGFR <60 mL/min/1.73 m2, or urinary albumin-creatinine ratio >30mg/g, or urinary protein-creatinine ratio >150mg/g, or urinary analysis [albuminuria] >30 mg/d). ANALYTICAL APPROACH: Sensitivity, specificity, and number needed to screen (NNS) to detect CKD if we screened patients who had hypertension and/or diabetes and/or who lived in low-SES tracts (belonging to the first quartile of any of the 3 measures of tract SES) versus the standard approach. RESULTS: CKD was prevalent in 13% of our cohort. Sensitivity, specificity, and NNS of detecting CKD after adding tract SES to the screening approach were 67% (95% CI, 66.2%-67.2%), 61% (95% CI, 61.1%-61.5%), and 5, respectively. With the standard approach, sensitivity of detecting CKD was 60% (95% CI, 59.4%-60.4%), specificity was 73% (95% CI, 72.4%-72.7%), and NNS was 4. LIMITATIONS: One health care system and selection bias. CONCLUSIONS: Leveraging patients' addresses from the EHR and adding tract-level SES to the standard screening approach modestly increases the sensitivity of detecting patients with CKD at a cost of decreased specificity. Identifying further factors that improve CKD detection at an early stage are needed to slow the progression of CKD and prevent cardiovascular complications.

Role of Inflammatory Biomarkers in the Prevalence and Incidence of Hypertension Among HIV-Positive Participants in the START Trial.

BACKGROUND: The association between hypertension (HTN) and inflammatory biomarkers (interleukin-6 [IL-6] and high-sensitivity C-reactive protein [hsCRP]) in HIV-positive persons with CD4+ count >500 cells/mm3 is unknown. METHODS: We studied HTN in participants of the Strategic Timing of AntiRetroviral Treatment (START) trial of immediate vs. deferred antiretroviral therapy (ART) in HIV-positive, ART naive adults with CD4+ count > 500 cells/mm3. HTN was defined as having a systolic blood pressure (BP) ≥140 mmHg, a diastolic BP ≥90 mmHg, or using BP-lowering therapy. Logistic and discrete Cox regression models were used to study the association between baseline biomarker levels with prevalent and incident HTN. RESULTS: Among 4,249 participants with no history of cardiovascular disease, the median age was 36 years, 55% were nonwhite, and the prevalence of HTN at baseline was 18.9%. After adjustment for race, age, gender, body mass index (BMI), diabetes, smoking, HIV RNA and CD4+ levels, associations of IL-6 and hsCRP with HTN prevalence were not significant (OR per twofold higher:1.10, 95% confidence interval [CI]: 0.99, 1.20 for IL-6 and 1.05, 95% CI: 0.99, 1.10 for hsCRP). Overall incidence of HTN was 6.8 cases/100 person years. In similarly adjusted models, neither IL-6 (Hazard ratios [HR] per twofold higher IL-6 levels: 0.97, 95% CI: 0.88, 1.08) nor hsCRP (HR per twofold higher hsCRP levels: 0.97, 95% CI: 0.92, 1.02) were associated with risk of incident HTN. Associations did not differ by treatment group. Age, race, gender, and BMI were significantly associated with both the prevalence and incidence of HTN. CONCLUSIONS: Traditional risk factors and not baseline levels of IL-6 or hsCRP were associated with the prevalence and incidence of HTN in START.

Role of blood transfusion product type and amount in deep vein thrombosis after cardiac surgery.

BACKGROUND: Postoperative deep vein thrombosis (DVT) is associated with significant morbidity. Even with maximal thromboprophylaxis, postoperative DVT is present in 10% of cardiac surgery patients, and is linked to receiving transfusion. We hypothesized that the incidence of DVT varies with the transfused blood product type, and increases with transfusion dose. STUDY DESIGN AND METHODS: 139/1070 cardiac surgery patients have DVT despite maximal chemo and mechanical prophylaxis. DVTs were detected via serial perioperative duplex venous scans (DVS). Red blood cells (RBC), platelets (PLT), plasma (FFP) and cryoprecipitate transfusion data were collected. RESULTS: Transfusion was used in 506(47%) patients: RBC [468(44%); 4.0 ± 4.2u]; FFP [155(14.5%); 3.5 ± 2.3 u]; PLT [185(17.3%); 2.2 ± 1.3 u] and Cryoprecipitate [51(4.8%); 1.3 ± 0.6 u]. Isolated RBC transfusion accounted for 92.6% patients receiving one product, and their DVT rate was increased considerably compared to no transfusion (16.7% versus 7.3%; P<0.001). Incidence of DVT increased substantially for multiple product transfusions; particularly when both RBC and FFP are used (25%-40%). Relative to no RBC (n=602), multivariate logistic regression analysis identified a significant RBC-DVT dose dependent relation (P<0.001) with: 1-3 RBC units [n=285, AOR=1.95(1.23-3.07), adjusted odds ratio (95% confidence interval)]; 4-6 units [n=117; AOR=1.65(0.86-3.20)]; and ≥ 7 RBC units [n=66; 3.19(1.52-6.70)]. This relation also increased according to an RBC∗FFP interaction term [AOR=1.87(1.11-3.22); P=0.022]. CONCLUSION: RBC transfusion is associated with increased risk of DVT after cardiac surgery in a dose-dependent fashion that is exacerbated when accompanied with FFP. Postoperative screening diagnostic DVS are warranted in this transfused, high risk for DVT population to facilitate timely therapeutic intervention.