Impact of the Coronavirus Disease 2019 pandemic on neoadjuvant chemotherapy use in patients diagnosed with epithelial type ovarian cancer.

Introduction: The Coronavirus Disease 2019 (COVID-19) pandemic posed critical challenges in providing care to ovarian cancer (OC) patients, including delays in OC diagnosis and treatment initiation. To accommodate for delays in OC surgery, the Society of Gynecologic Oncology (SGO) recommended preferential use of neoadjuvant chemotherapy during the pandemic. The purpose of this study was to assess the association of the COVID-19 pandemic with neoadjuvant chemotherapy use in patients diagnosed with OC. Methods: This retrospective cohort study included patients diagnosed with stage II-IV ovarian cancer of epithelial subtype between 01/01/2017-06/30/2021 at Kaiser Permanente Southern California (KPSC), a large integrated healthcare system in the United States. Ovarian cancer patients diagnosed between 2017-2020 were identified from KPSC's Surveillance, Epidemiology, and End Results (SEER)-affiliated cancer registry. Patients diagnosed in 2021 were identified from the electronic medical records (EMR) using ICD-10 diagnosis codes, followed by medical chart review to validate diagnosis and extract information on histology and stage at diagnosis. March 4, 2020 was used as the cut-off to define pre-pandemic and pandemic periods. Patients diagnosed with COVID-19 between OC diagnosis and treatment completion were excluded. Data on neoadjuvant chemotherapy use were extracted from the cancer registry and EMR, supplemented by chart review. Modified Poisson regression was used to evaluate the association of the pandemic with neoadjuvant chemotherapy use. Results: Of 566 OC patients, 160 (28.3%) were diagnosed in the pandemic period. Patients diagnosed in the pandemic period were slightly younger (mean age 62.7 vs 64.9 years, p=0.07) and had a higher burden of Charlson comorbidities (p=0.05) than patients diagnosed in pre-pandemic period. No differences in time to treatment initiation were observed by pandemic periods. Neoadjuvant chemotherapy use was documented in 58.7% patients during the pandemic period compared to 47.3% in pre-pandemic period (p=0.01). After adjusting for covariates, patients diagnosed in the pandemic period were 29% more likely to receive neoadjuvant chemotherapy than patients diagnosed in pre-pandemic period [RR(95%CI): 1.29(1.12-1.49)]. Discussions: Ovarian cancer patients diagnosed in the COVID-19 pandemic were more likely to receive neoadjuvant chemotherapy than patients diagnosed before the pandemic. Future research on patient outcomes and trends in the post-pandemic period are warranted.

Association of metabolic syndrome conditions with risk of second primary uterine cancer in breast cancer survivors.

PURPOSE: Uterine cancer risk is high in breast cancer survivors. Although breast cancer and uterine cancer share some common epidemiological risk factors, association of metabolic syndrome with incident uterine cancer in breast cancer survivors is under-studied. We evaluated the association of metabolic syndrome conditions with second primary uterine cancer in breast cancer survivors. METHODS: In this retrospective cohort study, 37,303 breast cancer patients diagnosed between 2008 and 2020 at Kaiser Permanente Southern California, an integrated healthcare system, were included. Data on cancer-related variables, sociodemographic, and clinical variables were extracted from KPSC's Surveillance, Epidemiology, and End Results (SEER)-affiliated cancer registry and electronic health records, as appropriate. Patients were followed from breast cancer diagnosis until 12/31/2021 for incident uterine cancer. Proportional hazards regression was used to report association [HR (95% CI)] between metabolic conditions and uterine cancer. RESULTS: More than half (53.1%) of the breast cancer survivors had 1-2 metabolic conditions; 19.4% had 3 + , while 27. 5% had no metabolic conditions. Median time to follow-up was 5.33 years and 185 (0.5%) patients developed second primary uterine cancer. Obesity was associated with an elevated uterine cancer risk in the adjusted model [HR (95% CI) 1.64 (1.20-2.25)]. Having 1-2 metabolic conditions (versus none) was not associated with increased uterine cancer risk [adjusted HR (95% CI) 1.24 (0.85-1.82)]; however, there was an increased uterine cancer risk with 3 + metabolic conditions [adjusted HR (95% CI) 1.82 (1.16-2.87)]. CONCLUSION: Although not statistically significant, we found a trend demonstrating greater uterine cancer risk by increasing numbers of metabolic syndrome conditions in breast cancer survivors.

Investigating Mortality Disparities Among Insured Patients With Colon Cancer Treated in an Integrated Health care System and Other Private Settings.

BACKGROUND: Lower socioeconomic status (SES) affects health care delivery and is associated with worse outcomes. Integrated healthcare systems (IHS) may help reduce barriers to health care and affect outcomes. Our aim was to compare outcomes of colon cancer cases diagnosed at the largest IHS in California, Kaiser Permanente Southern California (KPSC), to other insured patients (OI) to determine how SES influences mortality. METHODS: This retrospective cohort study included insured adults in southern California diagnosed with colon cancer between 2009 and 2014, using data from the California Cancer Registry, and followed through 2017. Main outcome was all-cause mortality. Person-year mortality rates were calculated for two groups, KPSC and OI. Multivariable hazard ratios were calculated for association between SES quintiles and mortality. RESULTS: Total of 15 923 patients were diagnosed with colon cancer, 4195 patients (26.3%) within KPSC and 11 728 patients (73.7%) in OI. The overall mortality rate per 1000 person-years (PY) was lower in KPSC [103.8/1000 PY (95% CI:98.5-109.3)] compared to OI [139.3/1000 PY (95% CI:135.2-143.4)]. Compared to the highest SES group, the lowest SES group did not experience higher mortality risk in the KPSC population, after adjusting for race/ethnicity and other factors (HR, 95% CI = 1.13, .93-1.38). However, in OI patients, lowest and lower-middle SES groups had higher mortality risk compared to the highest SES group (HR, 95% CI = 1.26, 1.13-1.40 and 1.28, 1.16-1.41, respectively). DISCUSSION: Lower SES was associated with higher mortality risk within the OI group; however, within KPSC no such association was observed. Care coordination in IHS settings mitigate SES-related mortality differences.