This study employs a prospective cohort design with longitudinal and matched characteristics, focusing on breast cancer patients who underwent surgery after recovering from SARS-CoV-2 infection. Patients were stratified by the time of surgery relative to COVID-19 diagnosis. The Inverse Probability of Treatment Weighting (IPTW) method was used to match a control group (COVID-19 negative) based on patient, tumor, and surgical factors in order to compare composite indicators (including death, pneumonia, thrombosis, cardiac complications, and unplanned hospitalization) for evaluating the optimal timing of surgery. We investigated the longitudinal evolution of postoperative adverse outcomes and identified the relevant risk factors through logistic regression analysis.
