Skip to main content

Table 4 Logistic regression models for deterioration within 72 h from admission based on repeated vital sign measurements with a 30-min interval during the first 3 h of ED admission

From: Repeated vital sign measurements in the emergency department predict patient deterioration within 72 hours: a prospective observational study

 

Sig.

Odds Ratio (95% CI)

Model statistics

Cox & Snell R2

AUC (95% CI)

N a

Base model for deterioration within 72 h from admission

.080

.679 (.619; .739)

359 (100%)

 Age

.012*

1.022 (1.005; 1.039)

   

 Gender (0 = male, 1 = female)

.502

0.839 (0.502; 1.402)

   

 Cardiac disease

.158

1.544 (0.845; 2.820)

   

 COPD

.159

1.906 (0.777; 4.676)

   

 Diabetes

.035*

1.902 (1.048; 3.454)

   

 Chronic kidney disease

.308

1.475 (0.699; 3.111)

   

 Chronic liver disease

.345

1.493 (0.650; 3.429)

   

 Organ transplant

.245

1.408 (0.791; 2.509)

   

 Malignancy

.450

0.807 (0.463; 1.407)

   

Base model with heart rate

 HR-M1.

Heart rate at admission

.042*

1.013 (1.000; 1.025)

.091

.683 (.623; .742)

359 (100%)

 HR-M2.

Heart rate at admission

.035*

1.015 (1.001; 1.030)

.091

.684 (.624; .743)

358 (99.7%)

Heart rate change

.463

1.039 (0.938; 1.151)

   

 HR-M3.

Heart rate at admission

.062

1.013 (0.999; 1.027)

.091

.683 (.624; .743)

359 (100%)

Heart rate variability

.884

0.998 (0.977; 1.021)

   

Base model with mean arterial pressure

 MAP-M1.

MAP at admission

<.001*

0.955 (0.937; 0.972)

.156

.746 (.688; .804)

357 (99.4%)

 MAP-M2.

MAP at admission

<.001*

0.940 (0.920; 0.961)

.176

.758 (.701; .815)

355 (98.9%)

MAP change

.003*

0.873 (0.798; 0.954)

   

 MAP-M3.

MAP at admission

<.001*

0.941 (0.922; 0.960)

.223

.800 (.750; .850)

357 (99.4%)

MAP variability

<.001*

1.060 (1.037; 1.084)

   

Base model with respiratory rate

 RR-M1.

Respiratory rate at admission

.042*

1.048 (1.002; 1.097)

.075

.663 (.592; .735) b

267 (74.4%)

 RR-M2.

Respiratory rate at admission

.004*

1.086 (1.027; 1.148)

.096

.686 (.617; .755) b

242 (67.4%)

Respiratory rate change

.018*

1.441 (1.063; 1.952)

   

 RR-M3.

Respiratory rate at admission

.144

1.022 (0.988; 1.071)

.087

.676 (.605; .746) b

267 (74.4%)

Respiratory rate variability

.063

1.067 (0.996; 1.142)

   

Base model with body temperature

 BT-M1.

Body temperature at admission

.607

1.059 (0.845; 1.319)

.083

.680 (.619; .741)

355 (98.9%)

 BT-M2.

Body temperature at admission

.880

1.020 (0.786; 1.324)

.080

.681 (.619; .743)

342 (95.3%)

Body temperature change

.677

0.720 (0.153; 3.385)

   

 BT-M3.

Body temperature at admission

.962

0.994 (0.790; 1.252)

.090

.683 (.622; .745)

355 (98.9%)

Body temperature variability

.097

1.389 (0.942; 2.049)

   
  1. AUC: area under the receiver operating curve; CI: confidence interval; COPD: Chronic Obstructive Pulmonary Disease; HR: Heart rate, MAP: mean arterial pressure; RR: respiratory rate; BT: body temperature; Sig.: statistical significance; * significant result (p < 0.05)
  2. aMissing or observations that were constant within the measured time period are excluded from the regression model; b the AUC of the base model only including patients with respiratory rate at admission was .638
Back to article page

Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine

ISSN: 1757-7241