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עמוד בית
Sat, 20.04.24

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March 2023
Eyal Leibovitz MD, Mona Boaz PhD, Israel Khanimov MD, Gary Mosiev MD, Mordechai Shimonov MD

Background: Despite its wide use, evidence is inconclusive regarding the effect of percutaneous endoscopic gastrostomy (PEG) in patients with chronic diseases and dementia among hospitalized patients with malnutrition.

Objectives: To examine the effect of PEG insertion on prognosis after the procedure.

Methods: This retrospective analysis of medical records included all adult patients who underwent PEG insertion between 1 January 2009 and 31 December 2013 during their hospitalization. For each PEG patient, two controls similar in age, sex, referring department, and underlying condition were randomly selected from the entire dataset of patients admitted. The effect of PEG on mortality and repeated admissions was examined.

Results: The study comprised 154 patients, 49 referred for PEG insertion and 105 controls (mean age 74.8 ± 19.8 years; 72.7% females; 78.6% admitted to internal medicine units). Compared to controls, the PEG group had a higher 2-year mortality rate (59.2% vs. 17.1%, P < 0.001) but the 2-year readmission rate did not differ significantly (44.9% vs. 56.2% respectively, P = 0.191). Regression analysis showed PEG was  associated with increased risk of the composite endpoint of death or readmission (hazard ratio 1.514, 95% confidence interval 1.016–2.255, P = 0.041). No specific characteristic of admission was associated with increased likelihood of death or readmission. Among readmitted patients, reasons for admission and baseline laboratory data, including albumin and cholesterol, did not differ between the PEG patients and controls.

Conclusions: In-hospital PEG insertion was associated with increased mortality at 2 years but had no effect on readmissions.

January 2022
Yael Feferman MD, Melinda Katz MD, Natalia Egorova PhD MPH, Umut Sarpel MD MSc, and Nina A. Bickell MD MPH

Background: Potentially preventable readmissions of surgical oncology patients offer opportunities to improve quality of care. Identifying and subsequently addressing remediable causes of readmissions may improve patient-centered care.

Objectives: To identify factors associated with potentially preventable readmissions after index cancer operation.

Methods: The New York State hospital discharge database was used to identify patients undergoing common cancer operations via principal diagnosis and procedure codes between the years 2010 and 2014. The 30-day readmissions were identified and risk factors for potentially preventable readmissions were analyzed using competing risk analysis.

Results: A total of 53,740 cancer surgeries performed for the following tumor types were analyzed: colorectal (CRC) (42%), kidney (22%), liver (2%), lung (25%), ovary (4%), pancreas (4%), and uterine (1%). The 30-day readmission rate was 11.97%, 47% of which were identified as potentially preventable. The most common cause of potentially preventable readmissions was sepsis (48%). Pancreatic cancer had the highest overall readmission rate (22%) and CRC had the highest percentage of potentially preventable readmissions (51%, hazard ratio [HR] 1.42, 95% confidence interval [95%CI] 1.28–1.61). Risk factors associated with preventable readmissions included discharge disposition to a skilled nursing facility (HR 2.22, 95%CI 1.99–2.48) and the need for home healthcare (HR 1.61, 95%CI 1.48–1.75).

Conclusions: Almost half of the 30-day readmissions were potentially preventable and attributed to high rates of sepsis, surgical site infections, dehydration, and electrolyte disorders. These results can be further validated for identifying broad targets for improvement

December 2012
E. Ben-Chetrit, C. Chen-Shuali, E. Zimran, G. Munter and G. Nesher

Background: Frequent readmissions significantly contribute to health care costs as well as work load in internal medicine wards.

Objective: To develop a simple scoring method that includes basic demographic and medical characteristics of  elderly patients in internal medicine wards, which would allow prediction of readmission within 3 months of discharge.

Methods: We conducted a retrospective observational study of 496 hospitalized patients using data collected from discharge letters in the computerized archives. Univariate and multivariate logistic regression analyses were performed and factors that were significantly associated with readmission were selected to construct a scoring tool. Validity was assessed in a cohort of 200 patients.

Results: During a 2 year follow-up 292 patients were readmitted at least once within 3 months of discharge. Age 80 or older, any degree of impaired cognition, nursing home residence, congestive heart failure, and creatinine level > 1.5 mg/dl were found to be strong predictors of readmission. The presence of each variable was scored as 1. A score of 3 or higher in the derivation and validation cohorts corresponded with a positive predictive value of 80% and 67%, respectively, when evaluating the risk of rehospitalization.

Conclusions: We propose a practical, readily available five-item scoring tool that allows prediction of most unplanned readmissions within 3 months. The strength of this scoring tool, as compared with previously published scores, is its simplicity and straightforwardness.
 

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