Serum α-Klotho with all-cause and cause-specific mortality.

AIMS: The relationship between α-Klotho (αK) and mortality is controversial and has not been examined in a large, diverse cohort. We investigated the association between serum αK protein levels with all-cause and cause-specific mortality in a cohort representative of the US population. METHODS: We used National Health and Nutrition Examination Survey (NHANES) data from 2007 to 2016. A nonlinear association between mortality and αK levels as a quadratic variable were examined using Cox proportional hazard models and competing risk models. Multivariable models were adjusted for age, gender, race, hypertension, diabetes, smoking, alcohol use, physical activity, body mass index (BMI), serum cholesterol, estimated glomerular filtration rate, highest educational status attained and family income to poverty threshold ratio. RESULTS: Of the 13 749 participants, 1569 (11%) died, 7092 (52%) were female, and 5918 (43%) were Caucasian. The mean (SD) of age was 58 (11) years, BMI 29.7 (6.7) kg/m2, and αK was 0.85 (0.31) ng/mL. In the adjusted Cox proportional hazards model with quadratic αK, we found a U-shaped relationship between all-cause mortality and αK levels (continuous αK hazard ratio [HR] = 0.56, 95% confidence interval [CI]: 0.37, 0.85; P = .007; squared-αK HR = 1.25, 95% CI: 1.11, 1.41; P < 0.001). A similar U-shaped relationship was noted between αK and cancer mortality in the adjusted Cox proportional hazards model (continuous αK HR = 0.45, 95% CI: 0.19, 1.06; P = 0.07; squared αK HR = 1.32, 95% CI: 1.07, 1.61; P = 0.009). No relationship was present with cardiovascular or other-cause mortality. CONCLUSIONS: In this large diverse cohort, we report a U-shaped relationship between αK with all-cause and cancer mortality. Further research to elucidate the underlying biological mechanism of these relationships is needed.

The Long-Term Effect of Financial Penalties on 30-Day Hospital Readmission Rates.

BACKGROUND: Although the immediate effect of financial penalties imposed by the Hospital Readmissions Reduction Program (HRRP) was a decrease in 30-day hospital readmission rates, the long-term effects are unclear. The authors studied 30-day readmissions before and immediately after HRRP penalties and during the most recent period before the COVID-19 pandemic and examined whether readmission trends differed between penalized and non-penalized hospitals. METHODS: Centers for Medicare & Medicaid Services hospital archive data and US Census Bureau data were used to analyze hospital characteristics, including readmission penalty status, and hospital service area (HSA) demographic information, respectively. These two datasets were matched by HSA crosswalk files, available through the Dartmouth Atlas files. Using data from 2005-2008 as baseline, the authors examined hospital readmission trends before (2008-2011) and after penalties (during three periods: 2011-2014, 2014-2017, 2017-2019). Mixed linear models were used to examine readmission trends through periods, and differences by hospital penalty status without and with adjustment for hospital characteristics and HSA demographic information. RESULTS: For all hospitals combined, rates for 2008-2011 vs. 2011-2014 were as follows: pneumonia, 18.6% vs. 17.0%; heart failure (HF), 24.8% vs. 22.0%; acute myocardial infarction (AMI), 19.7% vs. 17.0% (p < 0.001 for all three conditions). Rates for 2014-2017 vs. 2017-2019 were as follows: pneumonia, 16.8% vs. 16.8% (p = 0.87), HF, 21.7% vs. 21.9% (p < 0.001); AMI, 16.0% vs. 15.8% (p < 0.001). Compared to penalized hospitals, using difference-in-differences, non-penalized hospitals had a significantly greater increase for two conditions between the 2014-2017 and 2017-2019 periods: pneumonia 0.34%, p < 0.001; and HF 0.24%, p = 0.002. CONCLUSION: Long-term readmission rates are lower than pre-HRRP rates, with recent trends decreasing further for AMI, stabilizing for pneumonia, and increasing for HF.

Physician Perspectives on Long-Term Relationships and Friendships with Patients: A National Assessment.

OBJECTIVES: Shifts in the healthcare environment have introduced challenges to the long-term continuity of the doctor-patient relationship. This study examines whether certain demographic or religious characteristics of physicians are associated with maintaining long-term relationships (LTRs) and/or friendships with their patients and describes physicians' opinions regarding the influence of such patient relationships on health outcomes. METHODS: In 2011, survey responses were obtained from 1289 US physicians from various specialties. Physicians answered 8 items that assessed their opinions regarding their friendships, sense of meaningfulness, and experience in LTRs. The χ2 test was used to examine bivariate associations between each demographic characteristic and physician responses to the importance of LTRs. The survey included 2 questions about the duration of physician practice and the number of patients seen in a typical week, 4 questions about perceived meaningfulness and friendship in the doctor-patient relationship, and 2 questions about the doctor-patient relationship setting. RESULTS: The adjusted survey response rate was 69% (1289/1863), 43% of physicians indicated that many or most of their patient relationships are LTRs, and 13.7% indicated they consider many or most of their patients to be friends. Just fewer than half of physicians (45.1%) perceive LTRs to have a great impact on clinical outcomes, 64.8% believe that LTRs contribute to patient trust, and 52.2% believe that LTRs are more likely to cause a patient to follow a physician's medical recommendations. CONCLUSIONS: This study presents a representative picture of US physicians' perceptions regarding relationships with patients. Physicians generally perceive LTRs to have a positive impact on patients' clinical outcomes, although the majority of physicians report they have few or no such relationships.