The prediction model M4 can successfully classify pregnancy of unknown location (PUL) into a low‐ or high‐risk group in developing ectopic pregnancy. M4 was validated in UK centres but in very few other countries outside UK.

To validate the M4 model’s ability to correctly classify PULs in a cohort of Australian women.

Materials and Methods
A retrospective analysis of women classified with PUL, attending a Sydney‐based teaching hospital between 2006 and 2018. The reference standard was the final characterisation of PUL: failed PUL (FPUL) or intrauterine pregnancy (IUP; low risk) vs ectopic pregnancy (EP) or persistent PUL (PPUL; high risk). Each patient was entered into the M4 model calculator and an estimated risk of FPUL/IUP or EP/PPUL was recorded. Diagnostic accuracy of the M4 model was evaluated.

Of 9077 consecutive women who underwent transvaginal sonography, 713 (7.9%) classified with a PUL. Six hundred and seventy‐seven (95.0%) had complete study data and were included. Final outcomes were: 422 (62.3%) FPULs, 150 (22.2%) IUPs, 105 (15.5%) EPs and PPULs. The M4 model classified 455 (67.2%) as low‐risk PULs of which 434 (95.4%) were FPULs/IUPs and 21 (4.6%) were EPs or PPULs. EPs/PPULs were correctly classified with sensitivity of 80.0% (95% CI 71.1–86.5%), specificity of 75.9% (95% CI 72.2–79.3%), positive predictive value of 37.8% (95% CI 33.8–42.1%) and negative predictive value of 95.3% (95% CI 93.1–96.9%).

We have externally validated the prediction model M4. It classified 67.2% of PULs as low risk, of which 95.4% were later characterised as FPULs or IUPs while still classifying 80.0% of EPs as high risk.