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Background: Although cerebral palsy is reported to have a higher prevalence in low-resource settings, there are few studies describing risk factors for cerebral palsy in these settings. A better understanding of the unique risk factors affecting children with cerebral palsy in low-resource settings could optimize both resource allocation and preventative strategies.Methods: A case-control study comparing children with cerebral palsy at ages two to 18 years with age-matched healthy control subjects was conducted between 2013 and 2014 at a referral center in Gaborone, Botswana. Study participants were enrolled from inpatient and outpatient settings, and data were collected through caregiver interviews, review of medical records, and physical examination of subjects. Risk factors were evaluated using conditional logistic regression models.Results: We studied 56 subjects with cerebral palsy and 56 age-matched control subjects. Significant risk factors for cerebral palsy included a history of serious neonatal infection (odds ratio 15.0, P = 0.009), complications during delivery (odds ratio 13.5, P < 0.001), and maternal human immunodeficiency virus (HIV) infection (odds ratio 3.5, P = 0.03). Maternal HIV infection remained a significant risk factor after adjusting for potential confounders and covariates (adjusted odds ratio 13.2, P = 0.05).Conclusions: Major risk factors for cerebral palsy in Botswana differ from those described in high-resource settings. Modifiable risk factors such as maternal HIV infection should be targeted as a potential strategy to reduce the incidence of cerebral palsy in Botswana. Further studies are necessary to determine optimal preventative and treatment strategies in this population. [ABSTRACT FROM AUTHOR]

Background: Children with cerebral palsy in low-resource settings are at high risk of malnutrition, which further increases their risk of poor health outcomes. However, there are few available data on specific risk factors for malnutrition among children with cerebral palsy in the developing world.Methods: We performed a case-control study among children with cerebral palsy receiving care at a tertiary care hospital in Gaborone, Botswana. Children with cerebral palsy and malnutrition were identified according to World Health Organization growth curves and compared with subjects with cerebral palsy without malnutrition. Risk factors for malnutrition were identified using multivariable logistic regression models. These risk factors were then used to generate a Malnutrition Risk Score, and Receiver Operating Characteristic curves were used to identify optimal cutoffs to identify subjects at high risk of malnutrition.Results: We identified 61 children with cerebral palsy, 26 of whom (43%) met criteria for malnutrition. Nonambulatory status (odds ratio 13.8, 95% confidence interval [CI] 3.8-50.1, P < 0.001) and a composite measure of socioeconomic status (odds ratio 1.6, 95% CI 1.0-2.5, P = 0.03) were the strongest risk factors for malnutrition. A Malnutrition Risk Score was constructed based on these risk factors, and receiver operating characteristic curve analysis demonstrated excellent performance characteristics of this score (area under the curve 0.92, 95% CI 0.89-0.94).Conclusions: Malnutrition is common among children with cerebral palsy in Botswana, and a simple risk score may help identify children with the highest risk. Further studies are needed to validate this screening tool and to determine optimal nutritional interventions in this population. [ABSTRACT FROM AUTHOR]