The retrospective data analysis on the pedigree of nervous system diseases in children
Xiaohui Liu1, Huanxi Chen1, Xiansi Ma1
1School of Statistics and Data Science, Jiangxi University of Finance and Economics, Nanchang, 330013, China.
Insights
Neurological disease patterns are shifting, with rising rates of neuroimmune and genetic metabolic disorders and declining infectious cases. This highlights evolving diagnostic needs and treatment gaps in pediatric neurology.
Area of Science:
- Pediatric Neurology
- Epidemiology
- Disease Classification
Background:
- Diagnosis and treatment technologies continuously alter the classification of nervous system diseases.
- Analyzing historical disease trends provides a macro-level understanding of diagnostic shifts and future treatment directions.
Purpose of the Study:
- To retrospectively analyze epidemiological characteristics of pediatric neurological diseases.
- To identify trends in disease incidence, age of onset, gender distribution, and seasonality.
- To understand the changing landscape of nervous system diseases in children.
Main Methods:
- Retrospective analysis of 36,777 neurology inpatients from January 2012 to December 2020.
- Statistical analysis including numerical characteristics, boxplots, density charts, ANOVA, Kruskal-Wallis tests, time-series plots, and seasonal indices.
- Evaluation of factors such as age, gender, length of stay, patient numbers, and average daily hospital cost.
Main Results:
- Neurological illnesses most commonly affect children aged 4-8 years; benign intracranial hypertension has the youngest mean age of onset.
- Women constitute the majority of patients with central nervous system autoimmune diseases.
- Infectious neurological diseases show seasonal variation (warm season), while autoimmune diseases peak in autumn/winter.
- A significant decrease in intracranial infections and encephalopathy, contrasted by a rise in autoimmune and hereditary metabolic encephalopathies.
- Polycentric distributions observed in various illness density plots.
Conclusions:
- The epidemiology of pediatric nervous system diseases is changing, with an increasing proportion of neuroimmune and genetic metabolic diseases.
- There is a need for improved understanding and diagnosis of many neurological conditions to facilitate individualized treatment and resource allocation.
- Lack of effective treatments for many genetic neurological diseases necessitates further research.
- Seasonal patterns indicate a need for enhanced public health measures, sanitation, and healthcare awareness.
Abstract:
Nowadays, the development of diagnosis and treatment technology is constantly changing the pedigree and classification of nervous system diseases. Analyzing changes in earlier disease pedigrees can help us understand the changes involved in disease diagnosis from a macro perspective, as well as predict changes in later disease pedigrees and the direction of diagnosis and treatment. The inpatients of the neurology department from January 2012 to December 2020 in Hunan Children's Hospital were retrospectively analyzed. There were 36,777 patients enrolled in this study. The next analysis was based on factors like age, gender, length of stay (LoS), number of patients per month and per year (MNoP and ANoP, respectively), and average daily hospital cost (ADHE). To evaluate the characteristics of neurological diseases, we applied a series of statistical tools such as numerical characteristics, boxplots, density charts, one-way ANOVA, Kruskal-Wallis tests, time-series plots, and seasonally adjusted indices. The statistical analysis of neurological diseases led to the following conclusions: First, children having neurological illnesses are most likely to develop them between the ages of 4 and 8 years. Benign intracranial hypertension was the youngest mean age of onset among the various neurologic diseases, and most patients with bacterial intracranial infection were young children. Some diseases have a similar mean age of onset, such as seizures (gastroenteritis/diarrhea) and febrile convulsions. Second, women made up most patients with autoimmune diseases of the central nervous system. Treatment options for inherited metabolic encephalopathy and epilepsy are similar, but they differ significantly for viral intracranial infection. Some neurologic diseases were found to have seasonal variations; for example, infectious diseases of the central nervous system were shown to occur more commonly in the warm season, whereas, autoimmune diseases primarily appeared in the autumn and winter months. Additionally, the number of patients admitted to hospitals with intracranial infections and encephalopathy has dramatically dropped recently, but the number of patients with autoimmune diseases of the central nervous system and hereditary metabolic encephalopathy has been rising year over year. Finally, we discovered apparent polycentric distributions in various illnesses' density distributions. The study offered an epidemiological basis for common nervous system diseases, including evidence from age of onset, number of cases, and so on. The pedigree of nervous system diseases has significantly changed. The proportion of patients with neuroimmune diseases and genetic metabolic diseases is rising while the number of patients with infection-related diseases and uncertain diagnoses is decreasing. The existence of a disease multimodal model suggests that there is still a lack of understanding of many diseases' diagnosis and treatment, which needs to be improved further because accurate diagnosis aids in the formulation of individualized treatment plans and the allocation of medical resources; additionally, there is still a lack of effective treatment for most genetic diseases. The seasonal characteristics of nervous system diseases suggest the need for the improvement of sanitation, living conditions, and awareness of daily health care.
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