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עמוד בית
Thu, 21.11.24

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June 2021
Aviya R. Jacobs MSc, Noam Ben-Yosef MD, Yariv Tiram MD, Elchanan Juravel MD, Akiva Nachshon MD, Anat Scheiman Elazary MD, Auryan Szalat MD, Eran Zimran MD, and Mordechai Muszkat MD
November 2014
Ari Zimran MD, Gheona Altarescu MD and Deborah Elstein PhD
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.
 

September 2008
A. Brautbar, A. Abrahamov, I. Hadas-Halpern, D. Elstein and A. Zimran

Background: With regard to ethnic predilections for Gaucher disease, the most common storage disorder, Ashkenazi Jews are at risk for the non-neuronopathic form (type I), Norbottnian Swedes are at risk for the sub-acute neuronopathic form (type III), and perhaps Arabs are at risk for the very rare cardiac variant of the sub-acute neuronopathic form (type IIIc) for which there is a relatively tight genotype-phenotype correlation. Type II, the acute infantile form, being the rarest form, has not been associated with any ethnic predilection.

Objectives: To examine whether Arab ethnicity influences the Gaucher phenotype.

Methods: We reviewed the records of all Arab patients in a referral clinic of 586 patients in Israel.

Results: There were 46 patients (7.8%) of Arab ethnicity: 23 (50%) had type I disease, 16 (34.8%) had type IIIc disease, 4 (8.7%) had type IIIb disease, and 3 (6.5%) had type II disease. Type IIIc disease was characterized by genotype-phenotype correlation with homozygosity for the D409H (1342C) mutation. All five Bedouin patients (10.9%) had the R48W (C259T) mutation on at least one allele.

Conclusions: For all genotypes, disease severity among Arab patients was relatively similar to that reported among other Caucasian patients. Apparently Arab ethnicity does not impact phenotypic expression in Gaucher disease in a unique manner. The predilection for type IIIc may be a result of consanguinity.
 

September 2003
M. Jmoudiak, M. Itzchaki, I. Hadas-Halpern, M. Hrebicek, K. Hodanova, D. Elstein and A. Zimran
August 2003
E. Lebel, D. Elstein, D. Hain, I. Hadas-Halperin, A. Zimran and M. Itzchaki
September 2001
Yuval Gielchinsky, MD, Deborah Elstein, PhD, Ayala Abrahamov, MD and Ari Zimran, MD
August 2001
Altoon Dweck, MD, Ayala Abrahamov, MD, Irith Hadas-Halpern, MD, Ari Zimran, MD and Devorah Elstein, PhD
February 2000
January 2000
Dvora Aharoni, MD, Irith Hadas-Halpern, MD, Deborah Elstein, PhD and Ari Zimran, MD
December 1999
Ehud Lebel, MD, Menachem Itzchaki, MD, Deborah Elstein, PhD, Irit Hadas-Halpern, MD, Ayala Abrahamov, MD, and Ari Zimran MD.
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