The study, published in BMC Pediatrics, applied formal survival analysis to the cohort, using the log-rank test to compare survival across patient groups and the Cox proportional hazards regression model to isolate independent predictors of mortality. This statistical framework, widely regarded as the workhorse of epidemiological survival research, allows investigators to estimate a hazard ratio for each candidate risk factor: a value above one signals an elevated instantaneous risk of death at any point in follow-up, while a confidence interval that excludes one indicates a finding unlikely to be due to chance alone. The approach matters because congenital heart disease outcomes are shaped by many overlapping variables, from nutrition to geography, and only multivariable modeling can begin to disentangle them.

The headline finding concerns where children live. Those residing in rural areas faced a significantly higher hazard of death than their urban counterparts, with a hazard ratio of 1.33 and a 95 percent confidence interval of 1.06 to 1.66, corresponding to a p-value of 0.013. In practical terms, a rural child with a congenital heart defect carried roughly a one-third higher risk of dying at any given moment during follow-up compared with an otherwise similar urban child. The authors attribute this gap to the geography of specialized care in Uganda: the Uganda Heart Institute, the country’s principal referral center for pediatric cardiac disease, sits in Kampala, and families in remote districts face long, costly journeys to reach echocardiography, cardiac surgery, and follow-up clinics.

Nutrition emerged as an even more powerful predictor. Underweight children, defined against standard body mass index reference ranges, had more than twice the hazard of death compared with children of normal weight, with a hazard ratio of 2.07, a 95 percent confidence interval of 1.60 to 2.69, and a p-value below 0.001. The physiological logic behind this association is well established in pediatric cardiology. Children with significant heart defects burn extra calories simply to keep their overworked circulation going, while simultaneously struggling to feed because breathlessness and fatigue make sucking and swallowing difficult. The result is a vicious cycle in which malnutrition weakens immune defenses, impairs surgical candidacy, and accelerates heart failure, and in which the underlying cardiac defect in turn deepens the nutritional deficit.

Defect severity also shaped survival, though the pattern contained a statistical wrinkle that the researchers themselves flagged. Compared with children classified as having critical defects, those with moderate defects showed a higher hazard of death, with a hazard ratio of 1.98, a 95 percent confidence interval of 1.25 to 3.13, and a p-value of 0.004. At first glance this seems paradoxical, since critical defects are by definition the most severe. The authors caution that this finding should be interpreted carefully. One plausible explanation is a form of survival bias: infants with the most critical lesions may die before ever reaching the registry, or may be prioritized for urgent intervention, while children with moderate defects linger longer without definitive treatment, accumulating risk over time. Non-critical defects, by contrast, were not significantly associated with mortality in the model.

Perhaps the most actionable finding involved timing. The age or stage at which a child’s defect was diagnosed was significantly associated with mortality, with a hazard ratio of 1.67, a 95 percent confidence interval of 1.30 to 2.14, and a p-value below 0.001. Later diagnosis carried a higher hazard of death. This is the clearest signal in the dataset that the system itself, rather than biology alone, is costing lives. Congenital heart defects are frequently detectable in infancy through pulse oximetry screening, prenatal ultrasound, and attentive newborn examination, yet in much of sub-Saharan Africa the diagnosis arrives only after months of unexplained poor feeding, recurrent pneumonia, or frank heart failure, when secondary damage to the lungs and heart muscle is already established.

Not every candidate factor survived statistical scrutiny. Oxygen level, a variable that clinicians might intuitively expect to matter, was not significantly associated with survival in this cohort. The authors do not overinterpret this null result, but it serves as a reminder that in resource-limited settings the dominant determinants of outcome may be structural and logistical, such as where a family lives, how well a child is nourished, and how quickly the diagnosis is made, rather than the physiological parameters that dominate decision-making in well-resourced intensive care units.

The study’s methods deserve attention for what they reveal about the state of pediatric cardiac epidemiology in the region. By mining electronic patient records from a five-year window, the team avoided the cost and delay of prospective recruitment, and the retrospective design was approved by the Ethics Committee of the School of Statistics and Planning at Makerere University, with permission from the Uganda Heart Institute Research Committee. Because the analysis used existing data, the requirement for additional informed consent was waived in accordance with national guidelines, and the original data collection had already secured consent from participants or their legal guardians. The researchers report no specific funding for the work and declare no competing interests.

The global context sharpens the urgency of these numbers. In high-income countries, most congenital heart defects are diagnosed prenatally or within the first weeks of life, and the majority of affected children now survive to adulthood thanks to staged surgical repair, catheter-based interventions, and lifelong specialized follow-up. In Uganda and much of the continent, the pipeline looks radically different: few centers perform pediatric cardiac surgery, waiting lists stretch for years, and many families never reach the operating table at all. The result is a survival gap that is not primarily a mystery of biology but a measurable consequence of health system capacity, and the new hazard ratios quantify that consequence with unusual precision for the region.

The authors’ conclusions point to concrete interventions. Strengthening early screening programs, particularly newborn pulse oximetry and structured infant examinations, could shift diagnoses to earlier, more treatable stages. Improving nutritional support for children with known cardiac lesions could attack the malnutrition-mortality cycle directly, and expanding outreach and referral pathways for rural families could erode the geographic penalty captured in the 1.33 hazard ratio. None of these measures requires a breakthrough in cardiac surgery; they require screening tools, feeding support, and transport systems that already exist and simply need to reach the children who need them. As congenital heart defects continue to contribute substantially to childhood deaths across sub-Saharan Africa, this Ugandan cohort study provides both a warning and a roadmap: the children most likely to die are those who live far from care, arrive undernourished, and are found too late, and each of those risks is, in principle, fixable.

Subject of Research: Survival and mortality risk factors among children with congenital heart defects in Uganda

Article Title: Survival and factors associated with mortality among children with congenital heart defects at the Uganda Heart Institute, Mulago National Referral Hospital

Article References: Lovisa, N., Atuhaire, L., Asiimwe, J. B., & Nsimbe, D. (2026). Survival and factors associated with mortality among children with congenital heart defects at the Uganda Heart Institute, Mulago National Referral Hospital. BMC Pediatrics. https://doi.org/10.1186/s12887-026-07782-7

Image Credits: AI Generated

DOI: 10.1186/s12887-026-07782-7

Keywords: congenital heart defects, pediatric mortality, survival analysis, Cox proportional hazards model, Uganda Heart Institute, sub-Saharan Africa, malnutrition, rural health access, early diagnosis, BMC Pediatrics, Survival, factors