Key result
Postoperative complications are linked to up to ~23 additional hospital days and substantial excess costs.
Why the study?
Postoperative complications under DRG reimbursement prolong ward and ICU stays and increase hospital costs that additional payments may not fully offset. This study sought to quantify the impact of complications on length of stay and hospital costs, and to model the economic effect of a risk prediction model.
What is the impact of postoperative complications on hospital and ICU length of stay, mortality, and hospital costs in the STOPRISK registry, and what is the modeled economic effect of implementing a risk prediction model?
Cohort (n=11,081)
Yes
What is the impact of postoperative complications on hospital and ICU length of stay, mortality, and hospital costs in the STOPRISK registry, and what is the modeled economic effect of implementing a risk prediction model?
Postoperative complications substantially prolong hospital and ICU stays and drive high hospital resource costs, particularly in patients aged 65 and older, suggesting that risk stratification pathways could yield strong economic returns if prospectively validated.
Answers are grounded in this paper and cite their sources.
Complications were associated with major LOS and cost burdens; hypothesis-generating for risk-prediction ROI, prospective validation required.
INTRODUCTION: Postoperative complications under diagnosis-related group (DRG) reimbursement increase hospital costs and prolong ward and intensive care unit (ICU) stay, which additional payments may not fully offset. OBJECTIVES: To quantify the impact of complications on hospital and ICU length of stay (LOS, ICU LOS), estimate related hospital costs, and model the economic effect of a risk prediction model. MATERIALS AND METHODS: Retrospective multicentre cohort study of the STOPRISK registry (n = 11,081 episodes). Complications were defined by 19 binary indicators (18 tabulated). Outcomes: LOS, ICU LOS and in-hospital mortality as median (Q1; Q3). Economic modelling was an exploratory scenario cost–consequence analysis with return on investment (ROI) from the hospital perspective; resource cost equivalents 6,040 RUB/ward day and 66,225 RUB/ICU day. RESULTS: Complications occurred in 508/11,081 (4.58 %), death in 70 (0.63 %) and ICU stay in 3,428 (30.9 %); 946 events were recorded (1.86 per affected patient). All 18 complications had higher median LOS and ICU LOS; the largest increases were wound dehiscence (+23 days), sepsis (+19) and pulmonary embolism (+18). Additional resource costs per event were 109,000–777,000 RUB; the total annual event-related burden was 328.2 million RUB. In the base-case A + B scenario (δ = 20 %) annual savings were 54.1 million RUB, ROI 10.8× and payback 1.1 months; across the δ = 10–30 % range, 29.8–73.0 million RUB, ROI 6.0–24.3× and 0.5–2.0 months. Complication rates were 3.14 % (< 65 years) and 8.06 % (≥ 65 years); failure-to-rescue ≈13.8 %. CONCLUSIONS: Postoperative complications generate substantial event-related resource burden through longer LOS and ICU LOS, with patients ≥ 65 years contributing a disproportionately high share of costs. Under the specified assumptions, risk stratification and clinical pathways may be economically justified from the hospital perspective; the benefit depends on actual use of the tool, case-mix, tariffs and ICU occupancy. The findings are exploratory and require prospective validation.
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Zabolotskikh et al. (2026) conducted a cohort in Postoperative surgical episodes (n=11,081). Postoperative complications (19 binary indicators) and exploratory scenario modelling of a risk prediction model vs. Uncomplicated postoperative episodes was evaluated on Hospital and ICU length of stay (LOS, ICU LOS), in-hospital mortality, and related hospital resource costs. Postoperative complications occurred in 4.58% of 11,081 episodes, increasing median length of stay by up to 23 days and generating 328.2 million RUB in total annual event-related costs.
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