ORCID Profile
0000-0002-3740-1903
Current Organisation
Földiklinik GmbH & Co. KG
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Publisher: JMIR Publications Inc.
Date: 27-10-2017
Publisher: JMIR Publications Inc.
Date: 23-10-2017
DOI: 10.2196/RESPROT.7522
Publisher: Hindawi Limited
Date: 02-07-2019
DOI: 10.1155/2019/5317961
Abstract: Background . Good cardiorespiratory fitness (high V O 2 m a x ) has beneficial effects on morbidity and mortality. Therefore, a tool to estimate V O 2 m a x in daily clinical practice is of great value for preventing chronic diseases in healthy adults. This study aimed at exploring the cardiometabolic profile in a representative Swiss working population. Based on these insights, a regression model was derived revealing factors associated with V O 2 m a x . Methods . Cross-sectional data of 337 healthy and full-time employed adults recruited in the Basel region, Switzerland, were collected. Anthropometric measurements to compute body mass index (BMI) and waist circumference (WC) were performed. A 20-meter shuttle run test was conducted to determine in idual V O 2 m a x . Heart rate (HR) was measured at rest, during maximal exertion, and two minutes after exercise. Systolic (SBP) and diastolic blood pressure (DBP) were assessed at rest and after exercise. A multiple linear regression model was built to identify a set of nonexercise predictor variables of V O 2 m a x . Results . Complete data of 303 in iduals (63% male) aged 18 to 61 years (mean 33 ± 12 years) were considered for analysis. The regression model (adjusted R 2 = 0.647, SE = 5.3) identified sex ( β = -0.699, p 0.001), WC ( β = -0.403, p 0.001), difference of maximal to resting HR ( β = 0.234, p 0.001), smoking ( β = -0.171, p 0.001), and age ( β = -0.131, p 0.01) as the most important factors associated with V O 2 m a x , while BMI, SBP, and DBP did not contribute to the regression model. Conclusions . This study introduced a simple model to evaluate V O 2 m a x based on nonexercise parameters as part of daily clinical routine without needing a time-consuming, cost-intense, and physically demanding direct assessment of V O 2 m a x . Knowledge about V O 2 m a x may help identifying in iduals at increased cardiovascular risk and may provide the basis for health counselling and tailoring preventive measures.
Publisher: Hogrefe Publishing Group
Date: 02-2023
DOI: 10.1024/1661-8157/A003985
Abstract: Abstract. Since the introduction of the reimbursement system based on diagnosis-related groups (DRG) in Swiss hospitals in 2012, most readmissions occurring within 18 days and appertaining to the same major diagnostic category (MDC) are merged and thus often reimbursed to a lesser extent. While readmissions reflect increased distress for patients and their relatives, the causes are mainly patient-related and difficult to influence. However, it may be possible to identify cases at higher risk for readmission. Therefore, the aim of this study was to find predictors for early readmissions in the same MDC, to identify high-risk index hospitalizations and possibly prevent unnecessary readmissions. The data of all patients admitted to the Clinic of Internal Medicine at the University Hospital of Basel, Switzerland, hospitalized for longer than 24 hours during the pre-DRG period between October 2009 and September 2010 were retrospectively collected. Data were examined for predictors of unplanned readmission within 18 days under the same MDC (’relevant readmission’) by means of logistic regression. 7479 patients (median age 67.8 years, 56% male) were admitted to the Clinic of Internal Medicine, with 232 patients (3.1%) being readmitted at least once. Logistic regression revealed male sex (p =0.035) and a high number of prescribed drugs at discharge (p .005) as patient-related predictors. The MDCs respiratory system, cardiovascular system, and gastrointestinal/hepatobiliary system were identified as high-risk categories (each p .005). Age and length of index hospital stay added no significant explanatory value to the regression model. Unplanned readmissions under the same MDC within 18 days were infrequent and not related to patients’ age or length of hospital stay. Overall, multimorbid patients, and hospitalizations regarding the cardiovascular, respiratory, or gastrointestinal system appear to be most at risk and should therefore be specifically targeted in the prevention of early readmissions.
Location: United States of America
Location: No location found
No related grants have been discovered for Thomas Dieterle.