ABSTRACT
The impact of the COVID19 pandemic on treatment practices for patients diagnosed with early breast cancer: a cross-sectional study from a large comprehensive cancer centre in Italy. Introduction: The Coronavirus Disease 2019 (COVID19) has disrupted health services worldwide. The evidence on the impact of the pandemic on cancer care provision, however, is conflicting. Some reports found that management for patients diagnosed with early breast cancer (EBC) during the pandemic did not differ from pre-pandemic practices;other reports suggested that delays in breast cancer surgery may have occurred. We aimed to audit the management of patients diagnosed with EBC during the pandemic in a large, tertiary-level cancer centre in Italy. Method(s): We conducted a cross-sectional study to track the route to first treatment for patients diagnosed with EBC during 2019, 2020, and 2021. We ed data for all consecutive patients referred to the Veneto Institute of Oncology (Padua, Italy). We defined as point of contact (POC) the date of the first consultation with a breast cancer specialist of the breast unit. We considered patients with a first POC in the 6 months preceding the multidisciplinary (MDT) meeting and initiating a treatment within 6 months from the POC. We chose the 3-month period April-June because in 2020 it was when health services were first acutely disrupted. We analysed the same period for 2019 and 2021. First treatment was defined as either upfront surgery or neoadjuvant chemotherapy (NACT). The time to first treatment was defined as the interval between the first POC and the first treatment. We used the median time to first treatment in 2019 to define the threshold for treatment delay. Result(s): We reviewed medical records for 878 patients for whom an MDT report during 2019-2021 (April through June) was available. Of these, 431 (49%) were eligible: 144 in 2019, 127 in 2020 and 150 in 2021. Median age at first POC was 61 years. The proportion of screen-detected tumours was larger in 2019 and 2021 than in 2020 (59%). Conversely, the proportion of screen-detected tumours was offset by the proportion of palpable tumours in 2020 (44% versus 56%). These differences were statistically significant (chi-square test 11.12, p=0.004). Distribution of tumour and nodal stage was unchanged over time, but in-situ tumours were slightly fewer in 2020 than in 2019 or 2021. The odds ratio for treatment delay (45 days or more) was 0.87 for 2020 versus 2019 (95% CI, 0.5-1.53) and 0.9 for 2021 versus 2019 (95% CI, 0.52-1.55), after adjusting for type of POC, presentation with symptoms, treatment type, tumour stage, nodal stage, and EBC subtype (i.e., luminal, HER2positive, triple-negative). Conclusion(s): There was no evidence for major changes in the management of EBC patients during 2019-2021 and no treatment delays were observed. However, our results show a slight decrease in the absolute number of patients being treated in 2020, offset by an increase in 2021 to levels comparable to 2019. Our findings suggest that disruption of breast cancer screening programmes may have impacted on the characteristics of the patient population, with a larger proportion of women presenting with palpable nodules. Validation on a larger, population-based cohort of patients is warranted to robustly assess the impact of the COVID19 pandemic on treatment practices and outcome for EBC patients.
ABSTRACT
Background: Since the beginning of the COVID19 outbreak, the Veneto Oncology Network ROV licensed dedicated guidelines for cancer patients care during the pandemic, and developed a regional registry (ROVID) aimed at describing epidemiology and clinical course of SARS-CoV-2 infection in cancer patients. Preliminary data on 170 patients mainly diagnosed during the first pandemic wave have been published (Guarneri V, Eur J Cancer 2021). Here we report the data of additional 270 patients, comparing clinical data and outcomes between first (W1) and second (W2) pandemic waves. Methods: All patients with cancer diagnosis and documented SARS-CoV-2 infection are eligible. Data on diagnosis, comorbidities, anticancer treatments, details on SARS-CoV-infection including source of contagion, clinical presentation, hospitalization, treatments and fate of the infection are recorded. Results: 440 patients have been enrolled, 196 diagnosed during W1 (until September 2020) and 244 during W2. The most common cancer type was breast cancer (n = 116). Significant differences in clinical characteristics between W1 and W2 were the followings: ECOG PS 0 (34% vs 58%), presence of cardiac comorbidities (30% vs 13%), presence of any co-morbidities (81% vs 62%), smoking habits (23% vs 13%). Patients diagnosed in W1 were less likely on active anticancer therapy (54% vs 73%) at the time of SARS-CoV-2 infection. Distribution per stage, presence of lung metastases, disease setting (curative vs palliative), active treatment discontinuation due to infection were similar between W1 and W2. Patients diagnosed in W1 were more likely symptomatic for SARS-CoV-2 infection (80% vs 67%), and reported more frequently an inhospital contact as potential source of infection (44% vs 9%). Significantly more patients diagnosed in W1 were hospitalized (76% vs 25%). All-cause mortality rates were 30.6% for patients diagnosed in W1 vs 12% for patients diagnosed in W2 (p < 0.001). However, deaths due to SARS-CoV-2 infection were more frequent in patients diagnosed in W2 (86% vs 54%, odds ratio 3.22;95% CI 1.97-5.279). Conclusions: Differences in clinical characteristics between W1 and W2 reflect different pattern of virus circulation. The dramatic reduction of in-hospital contact as a source of infection reflects the efforts put in place to protect this vulnerable population from in-hospital exposure. The lower all-cause mortality rate observed in W2 is in line with the observed less frail population. However, the higher relative risk of death due to SARS-CoV-2 infection observed in W2 reinforces the need to adopt protective measures including vaccination in cancer patients, irrespectively of age, stage, and comorbidities.