Validazione di un nuovo algoritmo per identificare le anomalie cromosomiche utilizzando i flussi sanitari correnti: il Registro delle malformazioni congenite di Milano.

ABSTRACT

OBJECTIVES: to assess the potential of a new algorithm based on current healthcare databases to identify potential cases of malformation, particularly chromosomal anomalies associated with terminations of pregnancy. DESIGN: retrospective observational study. SETTING AND PARTICIPANTS: Registry of Congenital Anomalies of Milan, live births, still births, and termination of pregnancies for fetal anomalies from 2012 to 2016, detected by using current healthcare data. MAIN OUTCOME MEASURES: prevalence between 2012 and 2016 of congenital malformations recorded by Milan's Registry of Congenital Anomalies, with particular regard to chromosomal anomaly trends. Variation in the percentage of malformations detected from terminations of pregnancy. RESULTS: prevalence of malformations increased from 270 in 2012 to 283 per 10,000 in 2016; specifically, chromosomal abnormalities increased from 35 to 51 per 10,000 births. The algorithm detected a greater proportion of anomalies associated with therapeutic abortion, especially with respect to chromosomal anomalies, with an increase from 57.7% in 2012 to 75.8% in 2016 (test for trend p=0.002). CONCLUSIONS: the proposed algorithm identified a greater number of chromosomal anomalies that caused termination of pregnancy and may be applied to existing Italian registries to evaluate the quality of healthcare services, in particular with regard to the effectiveness of prenatal trisomy screening policies. The algorithm may also be used where no active surveillance systems are present, as well as in epidemiological studies, to assess environmental impact on congenital anomalies.