Literature DB >> 15605663

A simple and accurate prediction model to estimate the intrahospital mortality risk of hospitalised cancer patients.

H Bozcuk1, E Koyuncu, M Yildiz, M Samur, M Ozdogan, M Artaç, E Coban, B Savas.   

Abstract

We aimed to form a risk prediction model to assess the probability of intrahospital death in cancer patients at the time of hospitalisation. The medical records and the relevant clinical parameters of cancer patients who died in or who were discharged from a teaching hospital between 1997 and 2000 (n = 334) were reviewed to explore the determinants of intrahospital death, which later were verified prospectively (n = 131). Eastern Cooperative Oncology Group (ECOG) performance status of four, short duration of disease (on a logarithmic scale), emergency admission, low haemoglobin (Hb) value (on a linear scale) and lactate dehydrogenase (LDH) value greater than 378 micro/ml were significantly and independently associated with the risk of intrahospital death. This model had a receiver operating characteristic area of 0.88 in the derivation cohort and 0.82 in the validation cohort. Using readily available clinical parameters, it is possible to devise an accurate and applicable risk prediction model for the hospitalised cancer patients.

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Year:  2004        PMID: 15605663     DOI: 10.1111/j.1742-1241.2004.00169.x

Source DB:  PubMed          Journal:  Int J Clin Pract        ISSN: 1368-5031            Impact factor:   2.503


  10 in total

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2.  Discharge outcomes and survival of patients with advanced cancer admitted to an acute palliative care unit at a comprehensive cancer center.

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3.  Applied Informatics Decision Support Tool for Mortality Predictions in Patients With Cancer.

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Authors:  Jing Cui; Lingjun Zhou; B Wee; Fengping Shen; Xiuqiang Ma; Jijun Zhao
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7.  Validation of prognostic scores for survival in cancer patients beyond first-line therapy.

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9.  A proposed prognostic 7-day survival formula for patients with terminal cancer.

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10.  Febrile neutropenia (FN) occurrence outside of clinical trials: occurrence and predictive factors in adult patients treated with chemotherapy and an expected moderate FN risk. Rationale and design of a real-world prospective, observational, multinational study.

Authors:  Bernardo Leon Rapoport; Matti Aapro; Marianne Paesmans; Ronwyn van Eeden; Teresa Smit; Andriy Krendyukov; Jean Klastersky
Journal:  BMC Cancer       Date:  2018-09-24       Impact factor: 4.430

  10 in total

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