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Point estimates were calculated as the mean of the estimates in the published literature, weighted by the number of study subjects. Confidence intervals (CIs) were the range of the estimates in the literature. If a point estimate came from a single source, the CI was calculated using an exact 95% CI of binomial proportions. Lastly, sensitivity and specificity estimates for screening based on risk factors and sonographic findings were calculated from published population data. These estimates varied widely in sensitivity analysis to account for potential imprecision. Use, or value, estimates and their ranges were also derived from quantitative literature review. Possible values ranged from 1 (perfect health) to 0 (death). The long-term outcome uses included in the model were neonatal mortality and severe neonatal compromise or handicap. One short-term outcome, severe adverse reaction to IVIG, was modeled by using the use estimates from the general medical literature.15 It was incorporated into the model as a disuse, calculated as 1 minus the use value, divided by 365, to account for the fact that this event was short-lived, finite, and recoverable after the event occurring in a single day out of an entire year. For all usages, we used the “decomposed” approach of combining them, because patients could experience multiple events, and it would be difficult to combine them in a single value that would be required for the “holistic” approach16 (Table 2).
Cost estimates were derived from the literature in the same fashion as the probability and use estimates. However, for many costs there were no available data in the published literature, so we used reimbursement information from our institution to estimate cost (Table 2). The final cost of a particular strategy was the sum of all components of that pathway. Effectiveness was expressed as quality-adjusted life years (QALYs), calculated by the product of use value and life expectancy (in years). In accordance with standard assumptions in economic analysis, we discounted annual costs and QALYs at a rate of 3%.17 We assumed life expectancy was 75 years. In the baseline analysis, the 3 screening strategies were compared by use value, derived from the probability of each event in a path multiplied by the use values of the events in that pathway. A theoretic cohort of 4 million women was considered to compare each strategy by number of outcomes generated by each approach. Base-case cost-effectiveness analysis was performed, comparing all the strategies with each other and with a “no screening or treating strategy.” Then 1-, 2-, and 3-way sensitivity analyses were performed by varying 1, 2, or 3 variable estimates, respectively, across the entire plausible range of probability, use, and cost, to determine whether the model was sensitive to 1 or more of the variables. In other words, to determine whether, given a different value or set of value estimates, the preferred strategy would change. Monte Carlo simulation was used as a form of multivariable analysis, simultaneously varying all values across their plausible ranges at random to estimate the number of times the conclusion of the model (the preferred strategy) would be chosen again. The analytic model was constructed and analyzed by using TreeAge Pro 2006 Suite (TreeAge Software, Inc, Williamstown, MA). The study did not involve human subjects and was exempt from institutional review board approval. ResultsUniversal screening was the preferred strategy in the base-case analysis, compared with risk factor-based screening and sonographic finding-based screening. Considering a theoretical cohort of 4 million neonates, based on the average annual birth rate in the United States, universal serum screening and treating for primary maternal CMV would significantly reduce the number of severely affected children born annually by 7638 when compared with risk factor-based screening, and by 7712 when compared with sonographic-based screening (Table 3).
In the decision analysis of clinical outcomes, 1-way and 2-way sensitivity analysis revealed the model to be sensitive to the test characteristics (ie, sensitivity and specificity) of risk factor-based screening at the highest values. If risk factor-based screening had a sensitivity of at least 80% and a specificity of at least 70.1%, then risk factor-based screening would be preferred over universal screening. Sonographic-based screening remained the inferior strategy. Additional 1-, 2-, and 3-way sensitivity analyses of all probability and use estimates across their ranges did not yield any additional variables to which the model was sensitive. In the cost-effectiveness analysis, universal serum screening was also the most cost-effective strategy (Table 4). When compared with risk factor-based screening and sonographic-based screening, as well as a reference strategy with no screening or treatment, universal screening represented the greatest cost-savings per QALY ($5243). In 1- and 2-way sensitivity analyses, varying probabilities, uses, and costs across their ranges by 1 and 2 variables at a time, the model was robust.
In the sensitivity analysis of the cost-effectiveness model, we explored the effect of optimizing the sensitivity and specificity of risk factor-based screening that was influential in the clinical outcomes decision model. However, even at the extreme values of risk factor-based sensitivity and specificity, modeling a theoretically optimized risk factor-based screening system, the risk factor-based screening strategy became less expensive than universal screening, but universal screening remained the most cost-effective. For example, if risk factor-based screening was optimized with a sensitivity of 90% and a specificity of 85%, risk factor-based screening is more cost-effective than sonographic-based screening and no screening or treating ($383 vs $2643 vs $5334 per QALY, respectively), but universal screening remains the most cost-effective strategy ($89/QALY). Because the efficacy data for CMV-IVIG is based on a single, observational treatment study with a relatively high rate of reported efficacy (relative risk [RR], 0.1 with treatment compared with no treatment), we explored a wide range of treatment efficacy and specifically the threshold at which universal screening would no longer remain cost-effective. If treatment with CMV-IVIG achieved a 47% disease reduction (RR, 0.53) or less, universal screening would no longer be cost-effective. In addition, given that CMV-IVIG availability is fairly limited and the medication is fairly expensive, we explored threshold cost of CMV-IVIG. If treatment cost was $30,158 or more, universal screening and treating would no longer be cost-effective. Finally, we performed a multivariable analysis, simultaneously varying probabilities, uses, and costs across their probable ranges using Monte Carlo simulation of 100,000 trials with a willingness-to-pay threshold of $50,000. Universal screening was found to be the superior strategy 99.2% of the time. CommentThe significant health burden of congenital CMV after primary maternal infection has not been reduced by current available interventions. Our results suggest that advances in the ability to use maternal serology to identify primary CMV infection,9, 12, 13, 18, 19, 20 and the ability to potentially treat fetuses exposed to CMV to reduce neonatal morbidity and mortality14, 21 could make universal screening and treating to prevent congenital CMV cost-effective. However, these results must be tempered. Our findings are reliant on the reported efficacy of CMV-IVIG by Nigro et al,14 which is not a study of sufficient rigor to support change in practice or universal screening for primary CMV. Additional trials are desperately needed. Our results show that a trial that demonstrates CMV-IVIG efficacy as at least a 47% reduction in congenital CMV would make universal screening and treating for primary CMV in pregnancy cost-effective. Maternal screening for infectious diseases that can transmit significant morbidity and mortality to infants is not foreign to obstetrics. Universal screening for group B streptococci (GBS) has significantly reduced the burden of neonatal disease caused by this organism.22 Interestingly, GBS caused about 1 case of perinatal sepsis in 1000 births when universal screening was recommended,23 a fraction of the estimated neonatal morbidity attributed to CMV. Yet until now, we have had no plausible, cost-effective strategy to screen and treat for the prevention of congenital CMV. This has primarily been driven by the inability to identify maternal primary infection, and the subsequent inability to treat the infection. However, several investigators have provided evidence to the contrary. Lazzarotto et al18 performed maternal serum antibody testing in women undergoing prenatal diagnosis for CMV by amniocentesis. They found that the addition of IgG avidity testing, with a cutoff of <25%, was 100% sensitive for fetal CMV infection. Others have reported similar findings,2, 4, 12, 13 supporting the notion that screening for primary CMV infection can be effectively performed. But the ability to screen for primary CMV infection in pregnant women is futile with no medical treatment to offer other than termination of pregnancy. Nigro et al14 published a recent study that offered evidence for the ability to prevent and treat congenital CMV with maternal CMV-IVIG. After confirmation of primary maternal CMV infection, patients were offered confirmatory amniocentesis. Both those with confirmed infection and those who declined amniocenteses were offered treatment. The authors found the greatest reduction (90%) in neonatal morbidity, and no mortality, in the group who received CMV-IVIG. Although the study design had several limitations, including the lack of randomization or blinding, the reported findings were provocative both in direction and magnitude of effect of CMV-IVIG on reduction in congenital CMV. Because of the many limitations of the study by Nigro et al,14 a paucity of external validation studies, and the significant cost and limited availability of CMV-IVIG, interpretation of these results and use of this treatment in practice have been broadly inconsistent. Our study showed that universal screening with the intention to treat with CMV-IVIG is cost-effective, based on the available screening evidence and the efficacy of the study by Nigro et al14 study. As some have suggested,8 one could hypothesize that the ability to screen the portion of the population with the highest prevalence of primary CMV would be ideal, and this was revealed in our sensitivity analysis. In other words, if the sensitivity and specificity of maternal serum screening based on risk factors were optimized, then that strategy would become the most preferred in the decision analysis. But the cost-effectiveness analysis revealed that even at optimized values of the sensitivity and specificity of risk factor-based screening, universal screening remained the most cost-effective. In addition, with our current ability (or inability) to effectively identify that subpopulation that is most at-risk, universal screening would be a more efficient strategy for reduction of congenital CMV morbidity and mortality if the efficacy data on CMV-IVIG from Nigro et al14 are validated. Lastly, despite the fact that current estimates of sensitivity and specificity of risk-factor based screening are far from the threshold at which this strategy would be cost-effective, it is an important strategy to continue to consider in future research. This analysis has several strengths. Our model was robust to all cost, probability, and use variables, with the 1 exception being the optimized sensitivity and specificity of risk factor-based serum screening. However, because published literature does not reflect an ability to identify those women at risk with a sensitivity that would approach the upper range considered in our model,24, 25, 26 we would conclude that our analysis can be considered robust. We believe decision-analytic and cost-effective models are important tools for complex clinical questions such as congenital CMV prevention, in which existing evidence is disbursed across disciplines, the evidence available is not of the level of evidence that the compulsion to change practice is abundantly clear, and the trade-offs between risk or cost and benefit seem unclear or subjectively unfavorable. It is very important to keep in mind that treatment efficacy was based on the results of a single study.14 because that is all that is currently available in the literature. Although one could argue that this is a potential weakness of this analysis, we would argue that it makes 1 of the most important points for the importance of this analysis. That is, there are no other treatment trials for maternal primary CMV infection for the prevention of congenital CMV currently ongoing to our knowledge,27 neither treatment nor screening is currently used in general practice in the United States, and yet CMV is the most common and 1 of the most devastating congenital infections. When we explored this in our sensitivity analysis, we demonstrated that even if efficacy of CMV-IVIG was at least 50% of that reported by Nigro et al,14 universal screening and treatment would still be cost-effective. Our model brings to light the potential for dramatic impact on the significant health burden of congenital CMV, at the same time simultaneously highlighting areas of research in critical need. Although international studies have demonstrated that serum maternal screening and the use of avidity testing can distinguish between primary and recurrent CMV infection, there is a need for confirmatory studies in the United States and a subsequent need to improve regional availability. These data indicate that further trials on the efficacy of CMV-IVIG, and other potential treatments, for prevention and treatment of congenital CMV are urgently needed to further inform our clinical decision and policy making. Adopting a strategy of national universal screening would be an enormous undertaking, but one worth pursuing to reduce the health burden of congenital CMV if additional evidence could confirm the efficacy of CMV-IVIG. References1. 1 Primary cytomegalovirus infection in pregnancy: incidence, transmission to fetus, and clinical outcome. JAMA. 1986;256:1904–1908. MEDLINE 2. 2. Cytomegalovirus. In: Remington JS, Klein JO, Baker C, Wilson CB editor. 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Estimates of the economic costs of birth defects. Inquiry. 1994;31:188–205. MEDLINE 52. 52 Current methods of the U.S. Preventative Task Force: a review of the process. Am J Prev Med. 2001;20(3S):. Department of Obstetrics and Gynecology, Washington University School of Medicine in St. Louis, St. Louis, MO Cite this article as: Cahill AG, Odibo AO, Stamilio DM, et al. Screening and treating for primary cytomegalovirus infection in pregnancy: where do we stand? A decision-analytic and economic analysis. Am J Obstet Gynecol 2009;201:466.e1-7. Reprints not available from the authors. PII: S0002-9378(09)00842-4 doi:10.1016/j.ajog.2009.07.056 © 2009 Mosby, Inc. 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