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Claims databases are generally considered inadequate for obesity research due to suboptimal capture of body mass index (BMI) measurements. This might not be true for bariatric surgery because of reimbursement requirements and changes in coding systems. We assessed the availability and validity of claims-based weight-related diagnosis codes among bariatric surgery patients.

We identified three nested retrospective cohorts of adult bariatric surgery patients who underwent adjusted gastric banding, Roux-en-Y gastric bypass, or sleeve gastrectomy between January 1, 2011 and June 30, 2018 using different components of OptumLabs® Data Warehouse, which contains linked de-identified claims and electronic health records (EHRs). We measured the availability of claims-based weight-related diagnosis codes in the 6-month preoperative and 1-year postoperative periods in the main cohort identified in the claims data. We created two claims-based algorithms to classify the presence of severe obesity (a commonly used cohore last available preoperative or postoperative BMI measurements (weighted kappa [95% confidence interval] preoperative 0.78, [0.76, 0.79]; postoperative 0.84, [0.80, 0.87]).

Claims-based weight-related diagnosis codes had excellent validity before and after bariatric surgical operation but suboptimal availability after operation. Claims databases can be used for bariatric surgery studies of non-weight-related effectiveness and safety outcomes that are well-captured.
Claims-based weight-related diagnosis codes had excellent validity before and after bariatric surgical operation but suboptimal availability after operation. Claims databases can be used for bariatric surgery studies of non-weight-related effectiveness and safety outcomes that are well-captured.
Currently there are only two population studies on sepsis incidence in Asia. The burden of sepsis in Hong Kong is unknown. We developed a sepsis surveillance method to estimate sepsis incidence from a population electronic health record (EHR) in Hong Kong using objective clinical data. The study objective was to assess our method's performance in identifying sepsis using a retrospective cohort. We compared its accuracy to administrative sepsis surveillance methods such as Angus' and Martin's methods.

In this single centre retrospective study we applied our sepsis surveillance method on adult patients admitted to a tertiary hospital in Hong Kong. Two clinicians independently reviewed the clinical notes to determine which patients had sepsis. Performance was assessed by sensitivity, specificity, positive predictive value, negative predictive value and area under the curve (AUC) of Angus', Martin's and our surveillance methods using clinical review as "gold standard."

Between January 1 and February 28, 201d at clinicaltrials.gov on October 3, 2019 ( NCT04114214 ).
Infectious aortic aneurysm, defined as a focal dilation of an infectious arterial wall, is an uncommon life-threatening disease. Compared with open surgery, endovascular repair yields acceptable clinical outcomes. However, residual tissue infection may increase the risk of secondary intervention. Here, we present a successful case of endovascular repair combined with staged drainage for the treatment of infectious aortic aneurysm.

A 58-year-old man presented to hospital with a 3-day history of lower back pain radiating to the back associated with fever. The dynamic imaging characteristics revealed rapid progress of infectious abdominal aortic aneurysm with negative blood culture. The patient underwent endovascular repair and salmonella enteritidis was identified through drain culture.

Endovascular procedure and staged drainage can be feasible and effective option in selected cases.
Endovascular procedure and staged drainage can be feasible and effective option in selected cases.
Capturing frailty within administrative claims data may help to identify high-risk patients and inform population health management strategies. Although it is common to ascertain frailty status utilizing claims-based surrogates (e.g. diagnosis and health service codes) selected according to clinical knowledge, the accuracy of this approach has not yet been examined. We evaluated the accuracy of claims-based surrogates against two clinical definitions of frailty.

This cross-sectional study was conducted in a Health and Retirement Study subsample of 3097 participants, aged 65 years or older and with at least 12-months of continuous fee-for-service Medicare enrollment. We defined 18 previously utilized claims-based surrogates of frailty from Medicare data and evaluated each against clinical reference standards, ascertained from a direct examination a deficit accumulation frailty index (FI) (range 0-1) and frailty phenotype. We also compared the accuracy of the total count of 18 claims-based surrogates with ted according to clinical knowledge, do not accurately capture frailty in Medicare claims data. Tubacin molecular weight A simple count of claims-based surrogates improves accuracy but remains inferior to a claims-based FI model.
Claims-based surrogates, selected according to clinical knowledge, do not accurately capture frailty in Medicare claims data. A simple count of claims-based surrogates improves accuracy but remains inferior to a claims-based FI model.
Although 'frequent flyer' hospital admissions represent barely 3 to 8% of the total patient population in a hospital, they are responsible for a disproportionately high percentage (12 to 28%) of all admissions. Moreover, hospital admissions are an important contributor to health care costs and overpopulation in various hospitals. The aim of this research is to obtain a deeper insight into the phenomenon of frequent flyer hospital admissions. Our objectives were to understand the patients' perspectives on the cause of their frequent hospital admissions and to identify the perceived consequences of the frequent flyer status.

This qualitative study took place at the University Hospital of Leuven. The COREQ guidelines were followed to provide rigor to the study. Patients were included when they had at least four overnight admissions in the past 12 months, an age above 65 years and hospital admission at the time of the study. Data were collected via semi-structured interviews and encoded in NVivo.

Thirteen interviews were collected.
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