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Displaying 921 - 930 of 1481 in Annals of Internal Medicine
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Telemedicine Versus In-Person Primary Care: Treatment and Follow-up Visits
Background: Beyond initial COVID-19 pandemic emergency expansions of telemedicine use, it is unclear how well primary care telemedicine addresses patients’ needs. Objective: To compare treatment and follow-up visits (office, emergency department, hospitalization) between primary care video or telephone telemedicine and in-person office visits. Design: Retrospective design based on administrative and electronic health record (EHR) data. Setting: Large, integrated health care delivery system with more than 1300 primary care providers, between April 2021 and December 2021 (including the COVID-19 pandemic Delta wave). Patients: 1 589 014 adult patients; 26.5% were aged 65 years or older, 54.9% were female, 22.2% were Asian, 7.4% were Black, 22.3% were Hispanic, 46.5% were White, 21.5% lived in neighborhoods with lower socioeconomic status, and 31.8% had a chronic health condition. Measurements: Treatment outcomes included medication or antibiotic prescribing and laboratory or imaging ordering. Follow-up visits included in-person visits to the primary care office or emergency department or hospitalization within 7 days. Outcomes were adjusted for sociodemographic and clinical characteristics overall and stratified by clinical area (abdominal pain, gastrointestinal concerns, back pain, dermatologic concerns, musculoskeletal pain, routine care, hypertension or diabetes, and mental health). Results: Of 2 357 598 primary care visits, 50.8% used telemedicine (19.5% video and 31.3% telephone). After adjustment, medications were prescribed in 46.8% of office visits, 38.4% of video visits, and 34.6% of telephone visits. After the visit, 1.3% of in-person visits, 6.2% of video visits, and 7.6% of telephone visits had a 7-day return in-person primary care visit; 1.6% of in-person visits, 1.8% of video visits, and 2.1% of telephone visits were followed by an emergency department visit. Differences in follow-up office visits were largest after index office versus telephone visits for acute pain conditions and smallest for mental health. Limitations: In the study setting, telemedicine is fully integrated with ongoing EHRs and with clinicians, and the study examines an insured population during the late COVID-19 pandemic period. Observational comparison lacks detailed severity or symptom measures. Follow-up was limited to 7 days. Clinical area categorization uses diagnosis code rather than symptom. Conclusion: In-person return visits were somewhat higher after telemedicine compared with in-person primary care visits but varied by specific clinical condition. Primary Funding Source: Agency for Healthcare Research and Quality.
Once-Weekly Insulin Icodec With Dosing Guide App Versus Once-Daily Basal Insulin Analogues in Insulin-Naive Type 2 Diabetes (ONWARDS 5): A Randomized Trial: Annals of Internal Medicine: Vol 176, No 11
Background: Inadequate dose titration and poor adherence to basal insulin can lead to suboptimal glycemic control in persons with type 2 diabetes (T2D). Once-weekly insulin icodec (icodec) is a basal insulin analogue that is in development and is aimed at reducing treatment burden. Objective: To compare the effectiveness and safety of icodec titrated with a dosing guide app (icodec with app) versus once-daily basal insulin analogues (OD analogues) dosed per standard practice. Design: 52-week, randomized, open-label, parallel-group, phase 3a trial with real-world elements. (ClinicalTrials.gov: NCT04760626) Setting: 176 sites in 7 countries. Participants: 1085 insulin-naive adults with T2D. Intervention: Icodec with app or OD analogue (insulin degludec, insulin glargine U100, or insulin glargine U300). Measurements: The primary outcome was change in glycated hemoglobin (HbA1c) level from baseline to week 52. Secondary outcomes included patient-reported outcomes (Treatment Related Impact Measure for Diabetes [TRIM-D] compliance domain score and change in Diabetes Treatment Satisfaction Questionnaire [DTSQ] total treatment satisfaction score). Results: The estimated mean change in HbA1c level from baseline to week 52 was greater with icodec with app than with OD analogues, with noninferiority (P < 0.001) and superiority (P = 0.009) confirmed in prespecified hierarchical testing (estimated treatment difference [ETD], −0.38 percentage points [95% CI, −0.66 to −0.09 percentage points]). At week 52, patient-reported outcomes were more favorable with icodec with app than with OD analogues (ETDs, 3.04 [CI, 1.28 to 4.81] for TRIM-D and 0.78 [CI, 0.10 to 1.47] for DTSQ). Rates of clinically significant or severe hypoglycemia were low and similar with both treatments. Limitation: Inability to differentiate the effects of icodec and the dosing guide app. Conclusion: Compared with OD analogues, icodec with app showed superior HbA1c reduction and improved treatment satisfaction and compliance with similarly low hypoglycemia rates. Primary Funding Source: Novo Nordisk A/S.
Association of Low Glomerular Filtration Rate With Adverse Outcomes at Older Age in a Large Population With Routinely Measured Cystatin C
Background: The commonly accepted threshold of glomerular filtration rate (GFR) to define chronic kidney disease (CKD) is less than 60 mL/min/1.73 m2. This threshold is based partly on associations between estimated GFR (eGFR) and the frequency of adverse outcomes. The association is weaker in older adults, which has created disagreement about the appropriateness of the threshold for these persons. In addition, the studies measuring these associations included relatively few outcomes and estimated GFR on the basis of creatinine level (eGFRcr), which may be less accurate in older adults. Objective: To evaluate associations in older adults between eGFRcr versus eGFR based on creatinine and cystatin C levels (eGFRcr-cys) and 8 outcomes. Design: Population-based cohort study. Setting: Stockholm, Sweden, 2010 to 2019. Participants: 82 154 participants aged 65 years or older with outpatient creatinine and cystatin C testing. Measurements: Hazard ratios for all-cause mortality, cardiovascular mortality, and kidney failure with replacement therapy (KFRT); incidence rate ratios for recurrent hospitalizations, infection, myocardial infarction or stroke, heart failure, and acute kidney injury. Results: The associations between eGFRcr-cys and outcomes were monotonic, but most associations for eGFRcr were U-shaped. In addition, eGFRcr-cys was more strongly associated with outcomes than eGFRcr. For example, the adjusted hazard ratios for 60 versus 80 mL/min/1.73 m2 for all-cause mortality were 1.2 (95% CI, 1.1 to 1.3) for eGFRcr-cys and 1.0 (CI, 0.9 to 1.0) for eGFRcr, and for KFRT they were 2.6 (CI, 1.2 to 5.8) and 1.4 (CI, 0.7 to 2.8), respectively. Similar findings were observed in subgroups, including those with a urinary albumin–creatinine ratio below 30 mg/g. Limitation: No GFR measurements. Conclusion: Compared with low eGFRcr in older patients, low eGFRcr-cys was more strongly associated with adverse outcomes and the associations were more uniform. Primary Funding Source: Swedish Research Council, National Institutes of Health, and Dutch Kidney Foundation.
Suspected Bronchiectasis and Mortality in Adults With a History of Smoking Who Have Normal and Impaired Lung Function: A Cohort Study: Annals of Internal Medicine: Vol 176, No 10
Background: Bronchiectasis in adults with chronic obstructive pulmonary disease (COPD) is associated with greater mortality. However, whether suspected bronchiectasis—defined as incidental bronchiectasis on computed tomography (CT) images plus clinical manifestation—is associated with increased mortality in adults with a history of smoking with normal spirometry and preserved ratio impaired spirometry (PRISm) is unknown. Objective: To determine the association between suspected bronchiectasis and mortality in adults with normal spirometry, PRISm, and obstructive spirometry. Design: Prospective, observational cohort. Setting: The COPDGene (Genetic Epidemiology of Chronic Obstructive Pulmonary Disease) study. Participants: 7662 non-Hispanic Black or White adults, aged 45 to 80 years, with 10 or more pack-years of smoking history. Participants who were former and current smokers were stratified into normal spirometry (n = 3277), PRISm (n = 986), and obstructive spirometry (n = 3399). Measurements: Bronchiectasis identified by CT was ascertained using artificial intelligence–based measurements of an airway-to-artery ratio (AAR) greater than 1 (AAR >1), a measure of bronchial dilatation. The primary outcome of “suspected bronchiectasis” was defined as an AAR >1 of greater than 1% plus 2 of the following: cough, phlegm, dyspnea, and history of 2 or more exacerbations. Results: Among the 7662 participants (mean age, 60 years; 52% women), 1352 (17.6%) had suspected bronchiectasis. During a median follow-up of 11 years, 2095 (27.3%) died. Ten-year mortality risk was higher in participants with suspected bronchiectasis, compared with those without suspected bronchiectasis (normal spirometry: difference in mortality probability [Pr], 0.15 [95% CI, 0.09 to 0.21]; PRISm: Pr, 0.07 [CI, −0.003 to 0.15]; obstructive spirometry: Pr, 0.06 [CI, 0.03 to 0.09]). When only CT was used to identify bronchiectasis, the differences were attenuated in the normal spirometry (Pr, 0.04 [CI, −0.001 to 0.08]). Limitations: Only 2 racial groups were studied. Only 1 measurement was used to define bronchiectasis on CT. Symptoms of suspected bronchiectasis were nonspecific. Conclusion: Suspected bronchiectasis was associated with a heightened risk for mortality in adults with normal and obstructive spirometry. Primary Funding Source: National Heart, Lung, and Blood Institute.
Effect of Complementary Interventions to Redesign Care on Teamwork and Quality for Hospitalized Medical Patients: A Pragmatic Controlled Trial: Annals of Internal Medicine: Vol 176, No 11
Background: Multiple challenges impede interprofessional teamwork and the provision of high-quality care to hospitalized patients. Objective: To evaluate the effect of interventions to redesign hospital care delivery on teamwork and patient outcomes. Design: Pragmatic controlled trial. Hospitals selected 1 unit for implementation of interventions and a second to serve as a control. (ClinicalTrials.gov: NCT03745677) Setting: Medical units at 4 U.S. hospitals. Participants: Health care professionals and hospitalized medical patients. Intervention: Mentored implementation of unit-based physician teams, unit nurse–physician coleadership, enhanced interprofessional rounds, unit-level performance reports, and patient engagement activities. Measurements: Primary outcomes were teamwork climate among health care professionals and adverse events experienced by patients. Secondary outcomes were length of stay (LOS), 30-day readmissions, and patient experience. Difference-in-differences (DID) analyses of patient outcomes compared intervention versus control units before and after implementation of interventions. Results: Among 155 professionals who completed pre- and postintervention surveys, the median teamwork climate score was higher after than before the intervention only for nurses (n = 77) (median score, 88.0 [IQR, 77.0 to 91.0] vs. 80.0 [IQR, 70.0 to 89.0]; P = 0.022). Among 3773 patients, a greater percentage had at least 1 adverse event after compared with before the intervention on control units (change, 1.61 percentage points [95% CI, 0.01 to 3.22 percentage points]). A similar percentage of patients had at least 1 adverse event after compared with before the intervention on intervention units (change, 0.43 percentage point [CI, −1.25 to 2.12 percentage points]). A DID analysis of adverse events did not show a significant difference in change (adjusted DID, −0.92 percentage point [CI, −2.49 to 0.64 percentage point]; P = 0.25). Similarly, there were no differences in LOS, readmissions, or patient experience. Limitation: Adverse events occurred less frequently than anticipated, limiting statistical power. Conclusion: Despite improved teamwork climate among nurses, interventions to redesign care for hospitalized patients were not associated with improved patient outcomes. Primary Funding Source: Agency for Healthcare Research and Quality.
Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings: A Simulation Study: Annals of Internal Medicine: Vol 176, No 10
Background: Substantial effort has been directed toward demonstrating uses of predictive models in health care. However, implementation of these models into clinical practice may influence patient outcomes, which in turn are captured in electronic health record data. As a result, deployed models may affect the predictive ability of current and future models. Objective: To estimate changes in predictive model performance with use through 3 common scenarios: model retraining, sequentially implementing 1 model after another, and intervening in response to a model when 2 are simultaneously implemented. Design: Simulation of model implementation and use in critical care settings at various levels of intervention effectiveness and clinician adherence. Models were either trained or retrained after simulated implementation. Setting: Admissions to the intensive care unit (ICU) at Mount Sinai Health System (New York, New York) and Beth Israel Deaconess Medical Center (Boston, Massachusetts). Patients: 130 000 critical care admissions across both health systems. Intervention: Across 3 scenarios, interventions were simulated at varying levels of clinician adherence and effectiveness. Measurements: Statistical measures of performance, including threshold-independent (area under the curve) and threshold-dependent measures. Results: At fixed 90% sensitivity, in scenario 1 a mortality prediction model lost 9% to 39% specificity after retraining once and in scenario 2 a mortality prediction model lost 8% to 15% specificity when created after the implementation of an acute kidney injury (AKI) prediction model; in scenario 3, models for AKI and mortality prediction implemented simultaneously, each led to reduced effective accuracy of the other by 1% to 28%. Limitations: In real-world practice, the effectiveness of and adherence to model-based recommendations are rarely known in advance. Only binary classifiers for tabular ICU admissions data were simulated. Conclusion: In simulated ICU settings, a universally effective model-updating approach for maintaining model performance does not seem to exist. Model use may have to be recorded to maintain viability of predictive modeling. Primary Funding Source: National Center for Advancing Translational Sciences.
Risk for Congenital Anomalies in Children Conceived With Medically Assisted Fertility Treatment: A Population-Based Cohort Study: Annals of Internal Medicine: Vol 176, No 10
Background: More than 2 million children are conceived annually using assisted reproductive technologies (ARTs), with a similar number conceived using ovulation induction and intrauterine insemination (OI/IUI). Previous studies suggest that ART-conceived children are at increased risk for congenital anomalies (CAs). However, the role of underlying infertility in this risk remains unclear, and ART clinical and laboratory practices have changed drastically over time, particularly there has been an increase in intracytoplasmic sperm injection (ICSI) and cryopreservation. Objective: To investigate the role of underlying infertility and fertility treatment on CA risks in the first 2 years of life. Design: Propensity score–weighted population-based cohort study. Setting: New South Wales, Australia. Participants: 851 984 infants (828 099 singletons and 23 885 plural children) delivered between 2009 and 2017. Measurements: Adjusted risk difference (aRD) in CAs of infants conceived through fertility treatment compared with 2 naturally conceived (NC) control groups—those with and without a parental history of infertility (NC-infertile and NC-fertile). Results: The overall incidence of CAs was 459 per 10 000 singleton births and 757 per 10 000 plural births. Compared with NC-fertile singleton control infants (n = 747 018), ART-conceived singleton infants (n = 31 256) had an elevated risk for major genitourinary abnormalities (aRD, 19.0 cases per 10 000 births [95% CI, 2.3 to 35.6]); the risk remained unchanged (aRD, 22 cases per 10 000 births [CI, 4.6 to 39.4]) when compared with NC-infertile singleton control infants (n = 36 251) (that is, after accounting for parental infertility), indicating that ART remained an independent risk. After accounting for parental infertility, ICSI in couples without male infertility was associated with an increased risk for major genitourinary abnormalities (aRD, 47.8 cases per 10 000 singleton births [CI, 12.6 to 83.1]). There was some suggestion of increased risk for CAs after fresh embryo transfer, although estimates were imprecise and inconsistent. There were no increased risks for CAs among OI/IUI-conceived infants (n = 13 574). Limitations: This study measured the risk for CAs only in those children who were born at or after 20 weeks' gestation. Observational study design precludes causal inference. Many estimates were imprecise. Conclusion: Patients should be counseled on the small increased risk for genitourinary abnormalities after ART, particularly after ICSI, which should be avoided in couples without problems of male infertility. Primary Funding Source: Australian National Health and Medical Research Council.
Inappropriate Prescribing to Older Patients by Nurse Practitioners and Primary Care Physicians
Background: Many U.S. states have legislated to allow nurse practitioners (NPs) to independently prescribe drugs. Critics contend that these moves will adversely affect quality of care. Objective: To compare rates of inappropriate prescribing among NPs and primary care physicians. Design: Rates of inappropriate prescribing were calculated and compared for 23 669 NPs and 50 060 primary care physicians who wrote prescriptions for 100 or more patients per year, with adjustment for practice experience, patient volume and risk, clinical setting, year, and state. Setting: 29 states that had granted NPs prescriptive authority by 2019. Patients: Medicare Part D beneficiaries aged 65 years or older in 2013 to 2019. Measurements: Inappropriate prescriptions, defined as drugs that typically should not be prescribed for adults aged 65 years or older, according to the American Geriatrics Society’s Beers Criteria. Results: Mean rates of inappropriate prescribing by NPs and primary care physicians were virtually identical (adjusted odds ratio, 0.99 [95% CI, 0.97 to 1.01]; crude rates, 1.63 vs. 1.69 per 100 prescriptions; adjusted rates, 1.66 vs. 1.68). However, NPs were overrepresented among clinicians with the highest and lowest rates of inappropriate prescribing. For both types of practitioners, discrepancies in inappropriate prescribing rates across states tended to be larger than discrepancies between these practitioners within states. Limitation: The Beers Criteria addresses the appropriateness of a selected subset of drugs and may not be valid in some clinical settings. Conclusion: Nurse practitioners were no more likely than physicians to prescribe inappropriately to older patients. Broad efforts to improve the performance of all clinicians who prescribe may be more effective than limiting independent prescriptive authority to physicians. Primary Funding Source: The Robert Wood Johnson Foundation and National Science Foundation.
Comparative Effectiveness of Sodium–Glucose Cotransporter-2 Inhibitors for Recurrent Gout Flares and Gout-Primary Emergency Department Visits and Hospitalizations: A General Population Cohort Study: Annals of Internal Medicine: Vol 176, No 8
Background: Sodium–glucose cotransporter-2 inhibitors (SGLT2is) decrease serum urate levels, but whether this translates into prevention of recurrent flares among patients with gout and gout-primary emergency department (ED) visits or hospitalizations is unknown. Objective: To compare gout flares and cardiovascular events among patients with gout initiating SGLT2is versus dipeptidyl peptidase 4 inhibitors (DPP-4is), another second-line glucose-lowering agent not associated with serum urate levels or cardiovascular risk. Design: Propensity score–matched, new-user cohort study. Setting: General population database from 1 January 2014 to 30 June 2022. Participants: Patients with gout and type 2 diabetes. Measurements: The primary outcome was recurrent gout flare counts ascertained by ED, hospitalization, outpatient, and medication dispensing records. Secondary outcomes included myocardial infarction and stroke; genital infection (positive control) and osteoarthritis encounter (negative control) were also assessed. Poisson and Cox proportional hazards regressions were used with 1:1 propensity score matching (primary analysis) and overlap weighting (sensitivity analysis). Results: After propensity score matching, the flare rate was lower among SGLT2i initiators than DPP-4i initiators (52.4 and 79.7 events per 1000 person-years, respectively), with a rate ratio (RR) of 0.66 (95% CI, 0.57 to 0.75) and a rate difference (RD) of −27.4 (CI, −36.0 to −18.7) per 1000 person-years. The corresponding RR and RD for gout-primary ED visits and hospitalizations were 0.52 (CI, 0.32 to 0.84) and −3.4 (CI, −5.8 to −0.9) per 1000 person-years, respectively. The corresponding hazard ratio (HR) and RD for myocardial infarction were 0.69 (CI, 0.54 to 0.88) and −7.6 (CI, −12.4 to −2.8) per 1000 person-years; the HR for stroke was 0.81 (CI, 0.62 to 1.05). Those who initiated SGLT2is showed higher risk for genital infection (HR, 2.15 [CI, 1.39 to 3.30]) and no altered risk for osteoarthritis encounter (HR, 1.07 [CI, 0.95 to 1.20]). Results were similar when propensity score overlap weighting was applied. Limitation: Participants had concurrent type 2 diabetes. Conclusion: Among patients with gout, SGLT2is may reduce recurrent flares and gout-primary ED visits and hospitalizations and may provide cardiovascular benefits. Primary Funding Source: National Institute of Arthritis and Musculoskeletal and Skin Diseases.
Disparities in Guideline-Recommended Statin Use for Prevention of Atherosclerotic Cardiovascular Disease by Race, Ethnicity, and Gender: A Nationally Representative Cross-Sectional Analysis of Adults in the United States: Annals of Internal Medicine: Vol 176, No 8
Background: Although statins are a class I recommendation for prevention of atherosclerotic cardiovascular disease and its complications, their use is suboptimal. Differential underuse may mediate disparities in cardiovascular health for systematically marginalized persons. Objective: To estimate disparities in statin use by race–ethnicity–gender and to determine whether these potential disparities are explained by medical appropriateness of therapy and structural factors. Design: Cross-sectional analysis. Setting: National Health and Nutrition Examination Survey from 2015 to 2020. Participants: Persons eligible for statin therapy based on 2013 and 2018 American College of Cardiology/American Heart Association blood cholesterol guidelines. Measurements: The independent variable was race–ethnicity–gender. The outcome of interest was use of a statin. Using the Institute of Medicine framework for examining unequal treatment, we calculated adjusted prevalence ratios (aPRs) to estimate disparities in statin use adjusted for age, disease severity, access to health care, and socioeconomic status relative to non-Hispanic White men. Results: For primary prevention, we identified a lower prevalence of statin use that was not explained by measurable differences in disease severity or structural factors among non-Hispanic Black men (aPR, 0.73 [95% CI, 0.59 to 0.88]) and non-Mexican Hispanic women (aPR, 0.74 [CI, 0.53 to 0.95]). For secondary prevention, we identified a lower prevalence of statin use that was not explained by measurable differences in disease severity or structural factors for non-Hispanic Black men (aPR, 0.81 [CI, 0.64 to 0.97]), other/multiracial men (aPR, 0.58 [CI, 0.20 to 0.97]), Mexican American women (aPR, 0.36 [CI, 0.10 to 0.61]), non-Mexican Hispanic women (aPR, 0.57 [CI, 0.33 to 0.82), non-Hispanic White women (aPR, 0.69 [CI, 0.56 to 0.83]), and non-Hispanic Black women (aPR, 0.75 [CI, 0.57 to 0.92]). Limitation: Cross-sectional data; lack of geographic, language, or statin-dose data. Conclusion: Statin use disparities for several race–ethnicity–gender groups are not explained by measurable differences in medical appropriateness of therapy, access to health care, and socioeconomic status. These residual disparities may be partially mediated by unobserved processes that contribute to health inequity, including bias, stereotyping, and mistrust. Primary Funding Source: National Institutes of Health.