Table 2 Univariate and multivariable logistic regression analyses for selecting clinical features of model development (15 mmHg).

From: Multimodal nomogram integrating deep learning radiomics and hemodynamic parameters for early prediction of post-craniotomy intracranial hypertension

Variable

Univariate analysis

OR (95% CI)

P value

Multivariate analysis

OR((95% CI)

P value

Beats (bpm)

0.985 (0.978–1.044)

0.532

  

BMI (kg/m2 )

0.977 (0.931–1.121)

0.650

  

Breath (bpm)

1.017 (0.989–1.186)

0.084

  

EF (%)

0.224 (0.001–33.850)

0.558

  

Height (cm)

0.988 (0.968 to 1.040)

0.854

  

Weight (kg)

0.991 (0.981–1.029)

0.685

  

MAP (mm Hg)

0.993 (0.977–1.045)

0.525

  

MCA_mean (cm/s)

0.983 (0.973–0.999)

0.039*

1.011 (0.991–1.032)

0.2832

MCAED(cm/s)

0.966 (0.941–0.982)

0.000*

0.975 (0.942–1.009)

0.156

MCAPI

8.296( 3.008–14.980)

< 0.0001*

4.911 (1.777–13.578)

0.000*

MCAPS (cm/s)

1.001 (0.993–1.013)

0.493

  

ONSD(mm)

7.856 (4.294–19.876)

0.000*

7.320 (3.386–15.841)

0.000*

PaCO2 (mmHg)

0.979 (0.935–1.152)

0.478

  

PaO2 (mmHg)

0.984 (0.977–0.999)

0.045*

0.993 ( 0.980–1.006)

0.2946

Sex

0.855 (0.421–1.355)

0.347

  

Age

0.999 (0.980–1.033)

0.628

  
  1. *Indicates p < 0.05.
  2. bpm, breaths per minute or beats per minute; MCAED, end-diastolic velocity of the middle cerebral artery; EF, ejection fraction; MAP, mean arterial pressure; MCA, middle cerebral artery; MCA_mean, mean velocity of the MCA; PaCO₂, arterial partial pressure of carbon dioxide; MCAPI, pulsatility index of the MCA; PaO₂, arterial partial pressure of oxygen; MCAPS, peak systolic velocity of the MCA; ONSD, optic nerve sheath diameter.
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