Impact of COVID-19 pandemic in the care of people living with HIV and cancer at an oncologic center in Mexico.

BACKGROUND: People living with HIV(PLWH) and cancer are among the most vulnerable patients and require constant access to medical services. We compared the characteristics of PLWH and cancer in Mexico, before and during the COVID-19 pandemic. METHODS: Patients admitted 1 year before (pre-pandemic) and 1 year after the start of the pandemic (pandemic) were included. Clinical characteristics, HIV-related variables, and 90-day mortality were compared. Data are described a proportions (N,%) and central tendency measures. A multiple regression model for variables associated with 90-day mortality was performed. RESULTS: Seventy-nine patients were seen in the pre-pandemic period; 92 during the pandemic. Main diagnoses were Kaposi Sarcoma and lymphoma. CD4+ cell count at diagnosis was lower during the pandemic: 81 cells/mm3 vs. 128 cells/mm3, p = .035. CD4+<100 cells/mm3 at first consultation increased from 41% to 58% during the pandemic (p = .041). Only BMI <20 kg/m2 was associated to death (aOR 8.27, 95%CI 1.74-39.25) (p = .008). The pandemic period was not associated with a higher 90-day mortality. CONCLUSIONS: PLWH and cancer presented to care with advanced disease overall. This was more pronounced during the pandemic period. Mortality was associated with AIDS-related variables regardless of study period. This underscores the need for strategies to maintain in-person access to health-care services for PLWH.

Use of remdesivir for COVID-19 in patients with hematologic cancer.

PURPOSES: Patients with hematologic malignancies (HM) are among the individuals with highest risk of COVID-19 complications. We report the impact of remdesivir in patients with hematologic malignancies (HM) during Omicron in Mexico City. METHODS: All patients with HM and COVID-19 during December 2021-March 2022 were included. Socio-demographic and clinical data were collected. The primary outcome was COVID-19 progression. Variables associated with progression were analyzed. RESULTS: 115 patients were included. Median age was 50 years (IQR 35-63); 36% (N = 41) had at least one comorbidity. Fifty-two percent had non-Hodgkin lymphoma. Fifty patients (44%) had at least two doses of SARS-CoV-2 vaccine. COVID-19 was classified as mild (52.6%), moderate (9.7%), and severe/critical (28%). Twenty-eight patients (24%) received remdesivir. Nine patients received remdesivir at the ambulatory clinic (33%), the rest during hospital admission. Overall, 22(19%) patients progressed to severe/critical COVID-19; nine died due to COVID-19(8%). Hospital admission for non-COVID-19 causes was associated with higher odds of progression. Remdesivir did not reduce the risk of progression in hospitalized patients; none of the patients who received remdesivir in the ambulatory clinic progressed to severe COVID-19 or died. CONCLUSIONS: Patients with HM and COVID-19 continue to present with high risk of complications. More prospective studies are needed to define the impact of antivirals in this high-risk group, including the best duration of treatment. Also, better vaccine coverage and access to treatment are mandatory.

Facilitating Safe Discharge Through Predicting Disease Progression in Moderate Coronavirus Disease 2019 (COVID-19): A Prospective Cohort Study to Develop and Validate a Clinical Prediction Model in Resource-Limited Settings.

BACKGROUND: In locations where few people have received coronavirus disease 2019 (COVID-19) vaccines, health systems remain vulnerable to surges in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. Tools to identify patients suitable for community-based management are urgently needed. METHODS: We prospectively recruited adults presenting to 2 hospitals in India with moderate symptoms of laboratory-confirmed COVID-19 to develop and validate a clinical prediction model to rule out progression to supplemental oxygen requirement. The primary outcome was defined as any of the following: SpO2 < 94%; respiratory rate > 30 BPM; SpO2/FiO2 < 400; or death. We specified a priori that each model would contain three clinical parameters (age, sex, and SpO2) and 1 of 7 shortlisted biochemical biomarkers measurable using commercially available rapid tests (C-reactive protein [CRP], D-dimer, interleukin 6 [IL-6], neutrophil-to-lymphocyte ratio [NLR], procalcitonin [PCT], soluble triggering receptor expressed on myeloid cell-1 [sTREM-1], or soluble urokinase plasminogen activator receptor [suPAR]), to ensure the models would be suitable for resource-limited settings. We evaluated discrimination, calibration, and clinical utility of the models in a held-out temporal external validation cohort. RESULTS: In total, 426 participants were recruited, of whom 89 (21.0%) met the primary outcome; 257 participants comprised the development cohort, and 166 comprised the validation cohort. The 3 models containing NLR, suPAR, or IL-6 demonstrated promising discrimination (c-statistics: 0.72-0.74) and calibration (calibration slopes: 1.01-1.05) in the validation cohort and provided greater utility than a model containing the clinical parameters alone. CONCLUSIONS: We present 3 clinical prediction models that could help clinicians identify patients with moderate COVID-19 suitable for community-based management. The models are readily implementable and of particular relevance for locations with limited resources.

Clinical characteristics and outcomes in a cohort of oncologic patients with COVID-19 during the first year of the pandemic in Mexico.

BACKGROUND: Literature on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in cancer patients is scarce in Latin America. This population seems to have a higher risk for adverse outcomes. This study aims to correlate clinical characteristics with outcomes in patients with cancer. METHODS: We included all patients with cancer and confirmed SARS-CoV-2 infection from April 19 to December 31, 2020, at the Instituto Nacional de Cancerologia, Mexico. Clinical information was obtained from medical and epidemiological records. For the association between variables and hospitalization, invasive mechanical ventilation (IMV), and mortality, univariate and multivariate logistic regression were performed; odds ratios and 95% confidence intervals were calculated. RESULTS: Four hundred thirty-three patients were included; 268 (62%) were female, the median age was 55 years. One hundred thirty-five (31%), 131 (30%), and 93 (21%) patients had obesity, hypertension, and diabetes mellitus (DM), respectively. Three hundred forty-one (79%) had solid cancer. One hundred seventy (39%) had advanced cancer. Two hundred (46%) patients were hospitalized. Age (p < 0.01), male gender (p = 0.03), hematological malignancies (HM) (p = 0.04) and advanced cancer (p = 0.03) increased the risk for hospital admission. Forty-five (10%) patients required IMV. Age (p = 0.02); DM (p = 0.04); high C-reactive protein (p < 0.01), and lactate dehydrogenase (p = 0.03) were associated with IMV. Mortality within 30 days after diagnosis was 18% (76 cases). Associated characteristics were age (p = 0.04) and low albumin (p < 0.01). CONCLUSIONS: In this study, patients with cancer showed higher mortality, need for hospitalization, and IMV compared with other non-cancer cohorts. We did not find an increased risk in mortality for HM. Although our cohort was younger than others previously reported, age was a strong predictor of adverse outcomes. Variables associated with IMV and death were similar to those previously described in cancer patients with COVID-19.