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Table 2 Multiple regression model based on LASSO regression results

From: Development and validation of a nomogram for predicting in-hospital mortality in patients with nonhip femoral fractures

Variables

Multiple logistics model

Coefficients

OR (95%CI)

P-value

HR

0.036103

1.04 (1.02–1.05)

 < 0.001

Temperature

− 0.600597

0.55 (0.39–0.76)

 < 0.001

RDW

0.136534

1.15 (1.05–1.25)

0.003

BUN

0.009026

1.01 (1.00–1.02)

0.032

GCS

− 0.158592

0.85 (0.80–0.90)

 < 0.001

SAPSII

0.032097

1.03 (1.01–1.05)

 < 0.001

Charlson comorbidity index

0.155426

1.17 1.07–1.27)

 < 0.001

Cerebrovascular disease

0.679289

1.97 (1.12–3.39)

0.016

  1. HR, heart rate; RDW, red blood cell distribution width; BUN, blood urea nitrogen; GCS, Glasgow Coma Scale; SAPSII, Simplified Acute Physiology Score II
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European Journal of Medical Research

ISSN: 2047-783X

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