Skip to main content

Table 2 Potential variables for prediction by univariate Cox regression analysis

From: A novel nomogram to predict mortality in patients with stroke: a survival analysis based on the MIMIC-III clinical database

Univariable analysis

Variable

HR

95% CI

P value

Sex, female

1.307

1.022–1.671

0.0326

Insurance, private

0.4498

0.32676–0.6191

< 0.001

Medicaid

0.4869

0.24927–0.9511

0.0351

Marital, other

1.5137

1.1451–2.001

0.0036

Ventilation, yes

1.984

1.549–2.543

< 0.001

Cardiac arrhythmias, yes

1.543

1.201–1.982

< 0.001

CHF, yes

1.548

1.197–2.003

< 0.001

Metastatic cancer, yes

2.385

1.412–4.029

0.00116

Explicit sepsis, yes

1.786

1.17–2.726

0.00715

Age

1.04

1.029–1.052

< 0.001

Weight

0.9846

0.978–0.9913

< 0.001

OASIS

1.063

1.048–1.078

< 0.001

GCS

0.9457

0.9101–0.9826

0.00426

HR

1.014

1.006–1.022

< 0.001

RR

1.044

1.013–1.076

0.00495

DBP

0.9838

0.9728–0.9948

0.00415

MBP

0.9848

0.9739–0.9958

0.00679

AG

1.065

1.026–1.105

< 0.001

Chloride

0.9589

0.936–0.9823

< 0.001

Creatinine

1.117

1.036–1.203

0.00375

Glucose

1.002

1–1.003

0.0323

Sodium

0.9611

0.9313–0.9919

0.0137

HB

0.8952

0.8532–0.9393

< 0.001

INR

1.066

1.007–1.129

0.0288

WBC

1.012

1.004–1.02

0.00243

PT

1.01

1–1.019

0.0483

RBC

0.6814

0.5855–0.7931

< 0.001

  1. CHF, congestive heart failure; OASIS, Oxford Acute Severity of Illness Score; GCS, Glasgow Coma Scale; HR, heart rate; RR, respiratory rate; DBP, diastolic blood pressure; MBP, mean blood pressure; AG, anion gap; HB, hemoglobin; INR, international normal ratio; WBC, white blood cell; PT, prothrombin time; RBC, red blood cell
Back to article page

BMC Medical Informatics and Decision Making

ISSN: 1472-6947

Contact us