Artificial colloids versus human albumin for the treatment of ovarian hyperstimulation syndrome: A retrospective cohort study

Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_IJRM-17-10_002

تاریخ نمایه سازی: 3 اسفند 1398

Abstract:

Background: The optimal colloid solution for the treatment of ovarian hyperstimulation syndrome (OHSS) remains to be established. Objective: We aimed to compare artificial colloids (AC) with human albumin (HA) for the treatment of OHSS. Materials and Methods: In this retrospective cohort study, data for OHSS participants were collected from a national inpatient database in Japan. The participants received intravenous fluid management with AC (n = 156) or HA (n = 127). We compared the twogroups in terms of the length of stay, development of post-treatment complications, and termination surgery. Results: In multivariable linear regression analyses for log-transformed length of stay with reference to the OHSS participants receiving AC, the regression coefficient (95% confidence interval) in participants receiving HA was 0.03 (-0.04-0.09, p = 0.42). Thromboembolism occurred in two participants in the HA group and three participants in the AC group. Two participants in the HA group suffered renal failure during hospitalization. No participants underwent termination surgery in the two groups. Conclusions: The present results showed comparable efficacy between AC and HA for the treatment of OHSS. There were no significant differences in post-treatment complications between the two groups.

Authors

Tetsuji Minami

Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan. Center for Reproductive Medicine, Dokkyo Medical University Saitama Medical Center, Saitama, Japan.

Hayato Yamana

Department of Health Services Research, Graduate School of Medicine, The University of Tokyo,Tokyo, Japan.

Daisuke Shigemi

Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.

Hiroki Matsui

Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.

Kiyohide Fushimi

Department of Health Policy and Informatics, Tokyo Medical and Dental University Graduate School of Medicine, Tokyo, Japan.

Hideo Yasunaga

Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.