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. 2023 Oct 26;165(4):847–857. doi: 10.1016/j.chest.2023.10.027

Table 2.

Patient Characteristics Associated With Peripheral Vasopressor Initiation

Variable Adjusted ORa for Peripheral Initiation (95% CI) P Value
Age, per y 1.01 (0.99-1.03) .626
Admission from a postacute care facility (LTAC, SNF, SAR, or AR) 0.69 (0.37-1.31) .231
Hospitalized in the prior 90 d 0.93 (0.55-1.57) .773
Kidney disease (moderate or severe) 0.89 (0.54-1.47) .620
Liver disease (moderate or severe) 0.98 (0.45-2.14) .964
Congestive heart failure 1.05 (0.63-1.73) .852
Peripheral vascular disease 1.22 (0.58-2.54) .575
Malignancyb 0.75 (0.42,-1.34) .305
BMI, per kg/m2c 0.98 (0.97-1.00) .015
Initial lactate, per mMd 1.02 (0.95-1.08) .664
Initial creatinine, per mg/dLe 1.03 (0.94-1.13) .497
Mechanical ventilation within 6 hf 0.77 (0.43-1.37) .343
Altered mental statusg 0.74 (0.42-1.31) .274
Predicted mortality scoreh 1.59 (0.26-9.58) .612
Hospital effect, median OR (95% CI) 2.19 (1.31-3.07) Not applicable

N = 554 patients with vasopressors initiated through a peripheral IV or central line. Patients with other routes of initiation were excluded. AR = acute, or inpatient, rehabilitation; HMS = Michigan Hospital Medicine Safety Consortium; LTAC = long-term acute care; SAR = subacute rehabilitation; SNF = skilled nursing facility.

a

Multilevel logistic regression model for peripheral vasopressor initiation, adjusted for factors listed in the first column.

b

Malignancy included solid tumors with and without metastasis, leukemia, and lymphoma.

c

Missing for 33 patients and was imputed using age and sex.

d

Maximum lactate within 6 h of hospital arrival.

e

Maximum creatinine on day 1. If a patient arrived after 6 pm on day 1 and had no day 1 laboratory test results, day 2 laboratory test results were used.

f

Mechanical ventilation within 6 h of hospital arrival.

g

Documented deviation from baseline cognitive status on day 1 or 2.

h

Predicted mortality score was calculated using a model developed and validated within Michigan Hospital Medicine Safety Consortium to predict 90-d mortality among the HMS sepsis cohort. The model includes patient characteristics and markers of illness severity as detailed in the legend for Table 1.