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עמוד בית
Tue, 16.07.24

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March 2020
Misgav Rottenstreich MD MBA, Ortal Reznick MD, Hen Y. Sela MD, Alexander Ioscovich MD, Sorina Grisaro Granovsky MD PhD, Carolyn F. Weiniger MD and Sharon Einav MD MSc

Background: Admission to an intensive care unit (ICU) is an objective marker of severe maternal morbidity (SMM).

Objectives: To determine the prevalence of obstetric ICU admissions in one medical center in Israel and to characterize this population.

Methods: In this retrospective study the files of women coded for pregnancy, birth, or the perinatal period and admission to the ICU were pulled for data extraction (2005–2013).

Results: During the study period, 111 women were admitted to the ICU among 120,279 women who delivered babies (0.09%). Their average age was 30 ± 6 years, most were multigravida, a few had undergone fertility treatments, and only 27% had complicated previous pregnancies. Most pregnancies (71.2%) were uneventful prior to admission. ICU admissions were divided equally between direct (usually hemorrhage) and indirect (usually cardiac disease) obstetric causes.

Conclusions: The indications for obstetrics ICU admission correlated with the proximate causes of maternal arrest observed worldwide. While obstetric hemorrhage is often unpredictable, deterioration of heart disease is foreseeable. Attention should be directed specifically toward improving the diagnosis and treatment of maternal heart disease during pregnancy in Israel.

February 2008
F. Salameh, N. Cassuto and A. Oliven

Background: Falls are a common problem among hospitalized patients, having a significant impact on quality of life and resource utilization.

Objectives: To develop and validate a fall-risk assessment tool for patients hospitalized in the department of medicine that will combine simplicity with adequate accuracy for routine use.

Methods: This observational cohort study was conducted on the medical wards of an urban tertiary teaching hospital, and included all patients who fell in the medical wards during a 1 year period (n=140) compared to other hospitalized patients.

Results: Significant correlates of falls were previous falls, impairing medical conditions, impaired mobility, and altered mental state. In multivariate logistic regression analyses, only previous falls (odds ratio 3.8 with 95% confidence interval 2.65–5.45, P < 0.0001) and acute impairing medical conditions (OR[1] 1.56, CI[2] 1.06–2.29, P < 0.05) correlated independently with a higher risk for falls. Impaired mobility retained an OR of 1.46 (CI 0.95–2.24, P = 0.084). Accordingly, defining patients with either a history of previous falls or both acute impairing medical state and impaired mobility as fall-prone patients provided a sensitivity and specificity of 67% and 63%, respectively. In a subsequent prospective validation trial on 88 patients who fell during hospitalization and 436 controls, the sensitivity and specificity of this fall-risk grouping were 64% and 68% respectively.

Conclusions: Our new simple and easy-to-use fall-risk assessment tool identified most of the fall-prone patients. These findings suggest that using this tool may enable us to prevent two-thirds of falls on the medical ward by providing effective fall-prevention facilities to only one-third of the patients.

[1] OR = odds ratio

[2] CI = confidence interval

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