Stein Sherman C, Guo Wensheng
Department of Neurosurgery, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA.
Surg Neurol. 2009 Aug;72(2):131-7. doi: 10.1016/j.surneu.2008.07.012.
The aim of the study was to create a mathematical model that reproduces the prevalence of shunt-treated hydrocephalus in the United States over the years and predicts trends in the near future.
A structured search was performed of the English language literature for case series reporting rates of shunt insertion and revision, shunt removal, and patient mortality. A meta-analytic model was constructed to pool data from multiple studies and to calculate these rates at various time intervals. Separate Markov models were used to predict numbers of shunts at any one time for children (<17 years old) and adults. The models analyze the number of shunts inserted every year since 1955 and follow the likely fates of those patients as time passes.
Prevalence rates predicted by the model agree closely with those reported in the literature. However, the model's structure creates considerable variability around point estimates.
The model gives a comprehensive view of the prevalence of shunt-treated hydrocephalus in both children and adults from 1955 to the present. This model may prove useful in predicting resource use and needs for patients with hydrocephalus.
本研究的目的是创建一个数学模型,该模型能够再现多年来美国分流治疗脑积水的患病率,并预测近期趋势。
对英文文献进行结构化检索,查找报告分流置入和翻修率、分流移除率以及患者死亡率的病例系列。构建一个荟萃分析模型,汇总来自多项研究的数据,并计算不同时间间隔的这些比率。使用单独的马尔可夫模型预测儿童(<17岁)和成人在任何时间的分流数量。这些模型分析自1955年以来每年置入的分流数量,并随着时间推移跟踪这些患者可能的转归。
模型预测的患病率与文献报道的患病率密切相符。然而,模型结构在点估计周围产生了相当大的变异性。
该模型全面呈现了1955年至今儿童和成人分流治疗脑积水的患病率情况。该模型可能在预测脑积水患者的资源使用和需求方面证明有用。