| Literature DB >> 27794112 |
Christopher A Moxon1, Lei Zhao1, Chenxi Li1, Karl B Seydel1, Ian J MacCormick1, Peter J Diggle1, Macpherson Mallewa1, Tom Solomon1, Nicholas A Beare1, Simon J Glover1, Simon P Harding1, Susan Lewallen1, Sam Kampondeni1, Michael J Potchen1, Terrie E Taylor1, Douglas G Postels2.
Abstract
OBJECTIVE: We assessed the independent association of lumbar puncture (LP) and death in Malawian children admitted to the hospital with the clinical features of cerebral malaria (CM).Entities:
Mesh:
Year: 2016 PMID: 27794112 PMCID: PMC5135026 DOI: 10.1212/WNL.0000000000003372
Source DB: PubMed Journal: Neurology ISSN: 0028-3878 Impact factor: 9.910
Figure 1Study populations for propensity score–based analyses
a Compared to those included, the 451 children excluded from analysis did not differ by sex, age, or mortality rate (using a threshold of a 10% difference as clinically meaningful). b Covariates missing (number of children and covariate): 37 malarial retinopathy, 214 respiratory distress, 67 peripheral parasite density, 27 hematocrit, 90 blood pressure, 27 heart examination, 11 pulse, 10 glucose, 4 sex, 5 age (252 children have missing malarial retinopathy in original data, among which retinopathy status of 215 children are imputed from a logistic regression with hematocrit, platelet count, glucose as covariates: retinopathy status imputed as positive if predicted probability >0.5). LP = lumbar puncture.
Figure 2Distribution of propensity scores in those who did not (A) and did (B) receive lumbar punctures
Overlap of curves demonstrates that propensity score matching analyses are feasible.
Baseline characteristics of the children before and after propensity score matching (analysis including papilledema in the calculation of propensity score)
Baseline characteristics of the children before and after propensity score matching (analysis excluding papilledema in the calculation of propensity score)
Comparison of mortality rates before and after propensity score matching when papilledema was used in the calculation of propensity score