Back

Estimating the gestational age of spontaneous abortions identified via database algorithms: a literature review and empirical analysis in Norwegian register data

Srinivas, C.; Cohen, J. M.

2025-03-20 epidemiology
10.1101/2025.03.20.25324313
Show abstract

IntroductionSpontaneous abortion is a common pregnancy outcome, but incomplete recording and missing gestational age in health databases pose challenges for research. Accurate timing of the start of pregnancy is critical information in drug safety studies. ObjectivesTo review the literature on database algorithms to estimate gestational length for spontaneous abortions and clinical studies than can inform such algorithms. To estimate the average gestational age for algorithm-identified spontaneous abortions in Norway using interrupted time series analysis. MethodsWe used an algorithm to identify pregnancies registered in Norway from 2010-2020 and restricted to spontaneous abortions identified from registers of primary and specialist care, and births from the Medical Birth Registry of Norway. For births, we calculated the LMP by subtracting the recorded gestational age from the birth date. We assigned spontaneous abortions gestational ages ranging from 7 to 11 weeks and a corresponding LMP. We identified prescriptions from 70 days before to 97 days after LMP and calculated the number of antidepressant prescriptions per 10,000 pregnancies per day. We applied two-sample interrupted time series analysis with intervention points set at 28 and 55 days after LMP and compared antidepressant prescription trends after 28 gestational days for spontaneous abortions versus births. ResultsDatabase algorithms have used estimates for the gestational age at spontaneous abortion ranging from 8-10 weeks, and clinical studies suggest the mean or median gestational age at spontaneous abortion of around 9-10 weeks. In our interrupted time series analysis including 122,495 spontaneous abortions and 631,929 births, the 7-week assumption showed no post-intervention trend, suggesting underestimation. The 9-week assumption closely matched the trend for births (-0.051 prescriptions/day, 95% CI -0.090 to -0.013 vs. -0.056, 95% CI: -0.067 to - 0.046). The 8, 10, and 11-week assumptions showed less precise alignment. The best alignment occurred with the 64-day assumption (9.1 weeks). ConclusionOur study provides an empirically derived estimate for the average gestational age for algorithm-identified spontaneous abortions which can be applied in future research using the same pregnancy algorithm in Norway. While the 64-day estimate seems most accurate for our dataset, further validation studies are necessary to confirm its applicability in other contexts.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
BMC Medicine
based on 155 papers
Top 0.3%
12.3%
2
BMC Medical Research Methodology
based on 41 papers
Top 0.2%
10.0%
3
PLOS ONE
based on 1737 papers
Top 53%
8.6%
4
Pharmacoepidemiology and Drug Safety
based on 12 papers
Top 0.1%
8.2%
5
BMJ Open
based on 553 papers
Top 24%
4.6%
6
International Journal of Epidemiology
based on 65 papers
Top 2%
4.4%
7
Journal of Affective Disorders
based on 72 papers
Top 3%
2.8%
50% of probability mass above
8
Journal of Clinical Epidemiology
based on 29 papers
Top 0.7%
2.8%
9
Scientific Reports
based on 701 papers
Top 65%
2.3%
10
British Journal of General Practice
based on 22 papers
Top 0.9%
1.7%
11
JAMA Network Open
based on 125 papers
Top 10%
1.7%
12
British Journal of Clinical Pharmacology
based on 21 papers
Top 1%
1.6%
13
Epidemiology
based on 26 papers
Top 0.9%
1.6%
14
BMJ Mental Health
based on 15 papers
Top 0.9%
1.6%
15
Eurosurveillance
based on 77 papers
Top 6%
1.3%
16
European Journal of Epidemiology
based on 36 papers
Top 2%
1.3%
17
American Journal of Epidemiology
based on 54 papers
Top 5%
1.3%
18
Journal of Epidemiology and Community Health
based on 32 papers
Top 3%
1.3%
19
Research Synthesis Methods
based on 17 papers
Top 0.9%
1.2%
20
BMC Pregnancy and Childbirth
based on 19 papers
Top 2%
0.8%
21
BMC Infectious Diseases
based on 110 papers
Top 18%
0.8%
22
Addiction
based on 24 papers
Top 2%
0.8%
23
Journal of Clinical Medicine
based on 77 papers
Top 16%
0.8%
24
Wellcome Open Research
based on 34 papers
Top 4%
0.8%
25
PLOS Medicine
based on 95 papers
Top 15%
0.8%
26
Psychological Medicine
based on 52 papers
Top 7%
0.7%
27
Frontiers in Pharmacology
based on 27 papers
Top 5%
0.7%
28
European Journal of Public Health
based on 20 papers
Top 3%
0.7%
29
BMC Public Health
based on 148 papers
Top 25%
0.7%