Mortality of patients with solid and haematological cancers presenting with symptoms of COVID-19 with vs without detectable SARS-COV-2: a French nationwide prospective cohort study

Changes in cancer-related mortality during the COVID-19 pandemic in the United States

Few studies have examined cancer-related mortality overall, never mind select cancer types, during the COVID-19 pandemic. Data on cancer-related mortality (any mention in death certificates, multiple causes of death approach) was extracted from the US Centers for Disease Control and Prevention WONDER database. Changes in trends for age-standardized mortality rates through 1999-2021 were assessed by Joinpoint analysis. In total, 1 379 643 cancer-related deaths were registered in 2020-2021, with cancer selected as the underlying cause in 88%. After 2 decades of decline, age-standardized cancer-related mortality increased from 2019 to 2021 for all cancers (annual percentage change = 1.6%, 95% confidence interval = 0.6% to 2.6%), especially for prostate cancer (annual percentage change = 5.1%, 95% confidence interval = 2.2% to 8.2%) and hematologic cancers (annual percentage change = 4.8%, 95% confidence interval = 3.1% to 6.6%). Sharp peaks in cancer-related deaths for many cancer sites were observed during pandemic waves in both 2020 and 2021, mostly attributed to COVID-19 as the underlying cause. Multiple causes of death analyses are warranted to fully assess the impact of the pandemic on cancer-related mortality.

Post-traumatic stress disorder symptoms and quality of life among older patients with cancer during the COVID-19 pandemic

INTRODUCTION

The Coronavirus (COVID-19) pandemic and its associated health restrictions have harmed the population psychologically. We aimed to compare the post-traumatic stress disorder (PTSD) symptoms and Quality of Life (QoL) in older French patients with cancer to the younger ones.

MATERIALS AND METHODS

This longitudinal multicenter study named COVIPACT began in April 2020 during the first French lockdown and has included 579 outpatients receiving treatment for a solid or hematological malignancy. Data were collected every three months, namely at the first release period (M3), at the second lockdown (M6), at the second release period (M9), and finally at the last curfew period (M12) in France. Standardized validated self-questionnaires were used to assess PTSD symptoms (using the Event Scale-Revised self-questionnaire), insomnia (through the Insomnia Severity Index questionnaire), QoL (using the Functional Assessment of Cancer Therapy - General questionnaire), and cognitive complaints (through the Functional Assessment of Cancer Therapy - Cognition questionnaire). Student (or Wilcoxon) tests and Chi-squared tests were used for continuous or discrete variables, respectively. We conducted linear mixed model to study the change during follow-up.

RESULTS

Out of 579 included patients, 157 (27%) were ≥ 70 years old at baseline, of whom 104 participated in the longitudinal study. At baseline, older patients reported fewer PTSD symptoms (17% versus 23%, p = .06), insomnia (17% versus 27%, p = .02), and cognitive complaint (3% versus 16%, p < .01) than younger patients. QoL at baseline was similar between age subgroups. We observed no significant difference in the trajectory of PTSD symptoms, insomnia, or emotional well-being between both groups during the follow-up. Cognitive complaints were lower at baseline in older patients but steadily increased during the follow-up and reached the same level as younger patients at one year.

DISCUSSION

One in five older patients reported PTSD symptoms, evolving similarly to younger patients during the first year of the COVID-19 pandemic. While cognitive complaints tend to recover in a bell-shaped curve at one year in younger patients, the trend is increasing in older ones. Screening for PTSD symptoms and late cognitive impairment should be given special attention in older patients.

TRIAL REGISTRATION

Clinicaltrials.gov identifier: NCT04366154.

Risk factors of SARS-CoV-2 infection and complications from COVID-19 in lung cancer patients

BACKGROUND

Identifying lung cancer patients at an increased risk of getting SARS-CoV-2-related complications will facilitate tailored therapy to maximize the benefit of anti-cancer therapy, while decreasing the likelihood of COVID-19 complications. This analysis aimed to identify the characteristics of lung cancer patients that predict for increased risk of death or serious SARS-CoV-2 infection.

PATIENTS AND METHODS

This was a retrospective cohort study of patients with lung cancer diagnosed October 1, 2015, and December 1, 2020, and a diagnosis of COVID-19 between February 2, 2020, and December 1, 2020, within the Veterans Health Administration. Serious SARS-CoV-2 infection was defined as hospitalization, ICU admission, or mechanical ventilation or intubation within 2 weeks of COVID-19 diagnosis. For categorical variables, differences were assessed using Χ² tests, while Kruskal-Wallis rank-sum test was used for continuous variables. Multivariable logistic regression models were fit relative to onset of serious SARS-CoV-2 infection and death from SARS-CoV-2 infection.

RESULTS

COVID-19 infection was diagnosed in 352 lung cancer patients. Of these, 61 patients (17.3%) died within four weeks of diagnosis with COVID-19, and 42 others (11.9%) experienced a severe infection. Patients who had fatal or severe infection were older and had lower hemoglobin levels than those with mild or moderate infection. Factors associated with death from SARS-CoV-2 infection included increasing age, immune checkpoint inhibitor therapy and low hemoglobin level.

CONCLUSIONS

 The mortality of lung cancer patients from COVID-19 disease in the present cohort was less than previously reported in the literature. The identification of risk factors associated with severe or fatal outcomes informs management of patients with lung cancer who develop COVID-19 disease.

Prognostic value of procalcitonin in cancer patients with coronavirus disease 2019

OBJECTIVES

Many biomarkers have been studied to assist in the risk stratification and prognostication of patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Procalcitonin (PCT), a circulating precursor of the hormone calcitonin, has been studied with mixed results as a predictor of severe coronavirus disease 2019 (COVID-19) in the general population; however, to date, no studies have focused on the utility of PCT in predicting disease severity and death from COVID-19 in the cancer population.

METHODS

We conducted a retrospective study of cancer patients hospitalized with COVID-19 at a comprehensive cancer center over a 10-month period who had PCT recorded on admission. We assessed associations between variables of clinical interest and the primary outcomes of progression of COVID-19 and death during or within 30 days of hospitalization using univariable and multivariable logistic regression.

RESULTS

The study included 209 unique patients. In the univariate analysis, elevated PCT on admission was associated with higher odds of progression of COVID-19 or death (Odds ratio [OR] 1.40, 95% CI 1.08-1.93) and mortality alone (OR 1.53, 95% CI 1.17-2.11). In multivariate regression, PCT remained significantly associated with progression or death after holding chronic kidney disease (CKD) status constant (OR 1.40, 95% CI: 1.08, 1.93, p=0.003). Similarly, the association of PCT and death remained significant after adjusting for age (OR 1.54, 95% CI: 1.17-2.15).

CONCLUSIONS

In hospitalized COVID-19 patients with underlying cancer, initial PCT levels on admission may be associated with prognosis, involving higher odds of progression of COVID-19 and/or mortality.

Experiences of cancer care in COVID-19: A longitudinal qualitative study

PURPOSE

This study aimed to explore the cancer care experiences of people living with and beyond cancer during COVID-19 in Ireland.

METHODS

The study adopted a longitudinal qualitative design using semi-structured interviews with sixteen participants. Interviews were undertaken on three occasions over six months (January-June 2021). The National Comprehensive Cancer Network Distress Thermometer (NCCN DT), and Connor-Davidson-Resilience Scale (CD-RISC2) were also used as part of the interviews to measure distress and resilience. Thematic analysis of interview data was conducted and participants' self-rating for distress and resilience was analysed using descriptive statistics.

RESULTS

Sixteen patients participated. The findings revealed participants' constant fear of COVID-19 over time and efforts to stay safe by following the 'rules'. Isolation was a common experience as COVID-19 restrictions resulted in being alone when attending the hospital for treatment and limited support from family and friends. Telephone follow-up was limited in terms of support and patients' opportunity to ask questions. For a minority, COVID-19 restrictions meant they were 'not missing out'. On average, participants reported moderate to high levels of resilience at all time points. Distress scores were low but trended upwards from T1 to T2.

CONCLUSIONS

The findings highlight the need to avoid restrictions on carers accompanying their close relatives to the hospital for treatment. An evaluation of the effects of the rapid introduction of telephone follow-up on patient outcomes is warranted.

Mortality and prognostic factors in hospitalized COVID-19 patients with cancer: an analysis from a large healthcare system in the United States

Background

To evaluate clinical outcomes in patients with malignancy who are SARS-CoV-2 (COVID-19) positive and investigate if factors such as age, gender, and race contribute to COVID-19 mortality in patients with malignancy.

Methods

Retrospective data was gathered from Memorial Healthcare System of COVID-19 patients hospitalized from March 1, 2020 to January 18, 2021. Active malignancy was defined as either receiving antineoplastic therapy or being under surveillance. The primary endpoint was in-hospital mortality. Descriptive statistics were used to summarize the characteristics and outcomes. Univariate and multivariate logistic analysis were performed to define baseline clinical characteristics potentially associated with mortality in cancer patients with COVID-19.

Results

A total of 4,870 COVID-19 patients were enrolled in the study, and 265 of those patients had a diagnosis of active malignancy. The study population was diverse which included non-Hispanic whites (NHW) 816 (16.8%), Hispanics 2,271 (46.6%) and Blacks 1,534 (31.5%). Of the cancer patients, 24.1% were NHW, 43% were Hispanic and 28.7% were Black. Amongst the races, 37.5% of in-hospital mortalities were NHW, while 18.4% were Hispanics and 19.7% were Black. The in-hospital mortalities amongst the two malignancy types, solid and hematological, accounted for 24.6% and 23.5% of deaths and they were not found to be statistically significant (P=0.845). After adjustments for age, gender and race were made, cancer was independently associated with an increased in-hospital mortality, with an adjusted odds ratio of 1.48 [95% confidence interval (CI): 1.08-2.01]. Increased age and elevated serum levels of creatinine and C-reactive protein (CRP) were associated with an increased risk of death in cancer patients with COVID-19.

Conclusions

COVID-19 in patients with cancer had poorer outcomes in comparison to those who were cancer-free. Both hematological and solid malignancies had similar in-hospital mortality rates. The highest in-hospital mortalities of cancer patients with COVID-19 were non-Hispanic whites in-comparison to Hispanics with the least. Age, elevated levels of creatinine and CRP were independently associated with increased risk of death in cancer patients hospitalized with COVID-19. The findings indicate the need for close surveillance and monitoring of these patients as they are more likely to have higher risk of death from COVID-19.

Twelve-month observational study of children with cancer in 41 countries during the COVID-19 pandemic

INTRODUCTION

Childhood cancer is a leading cause of death. It is unclear whether the COVID-19 pandemic has impacted childhood cancer mortality. In this study, we aimed to establish all-cause mortality rates for childhood cancers during the COVID-19 pandemic and determine the factors associated with mortality.

METHODS

Prospective cohort study in 109 institutions in 41 countries.

INCLUSION CRITERIA

children <18 years who were newly diagnosed with or undergoing active treatment for acute lymphoblastic leukaemia, non-Hodgkin's lymphoma, Hodgkin lymphoma, retinoblastoma, Wilms tumour, glioma, osteosarcoma, Ewing sarcoma, rhabdomyosarcoma, medulloblastoma and neuroblastoma. Of 2327 cases, 2118 patients were included in the study. The primary outcome measure was all-cause mortality at 30 days, 90 days and 12 months.

RESULTS

All-cause mortality was 3.4% (n=71/2084) at 30-day follow-up, 5.7% (n=113/1969) at 90-day follow-up and 13.0% (n=206/1581) at 12-month follow-up. The median time from diagnosis to multidisciplinary team (MDT) plan was longest in low-income countries (7 days, IQR 3-11). Multivariable analysis revealed several factors associated with 12-month mortality, including low-income (OR 6.99 (95% CI 2.49 to 19.68); p<0.001), lower middle income (OR 3.32 (95% CI 1.96 to 5.61); p<0.001) and upper middle income (OR 3.49 (95% CI 2.02 to 6.03); p<0.001) country status and chemotherapy (OR 0.55 (95% CI 0.36 to 0.86); p=0.008) and immunotherapy (OR 0.27 (95% CI 0.08 to 0.91); p=0.035) within 30 days from MDT plan. Multivariable analysis revealed laboratory-confirmed SARS-CoV-2 infection (OR 5.33 (95% CI 1.19 to 23.84); p=0.029) was associated with 30-day mortality.

CONCLUSIONS

Children with cancer are more likely to die within 30 days if infected with SARS-CoV-2. However, timely treatment reduced odds of death. This report provides crucial information to balance the benefits of providing anticancer therapy against the risks of SARS-CoV-2 infection in children with cancer.

The putative mechanistic insights on how SARS-CoV-2 might influence the outcomes in cancer patients

Early evidence indicated that cancer patients are at increased risk of adverse outcomes and mortality after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. To determine the putative mechanism by which SARS-CoV-2 affects patients with cancers, we conducted a preliminary exploration at the molecular level. We collected differentially expressed proteins (DEPs) in the lung, liver, kidney, and thyroid of postmortem coronavirus disease 2019 (COVID-19) and non-COVID-19 patients from iProX database. Furthermore, we collected differentially expressed genes (DEGs) related to overall survival (OS) in lung cancer, liver cancer, kidney cancer and thyroid cancer based on the Cancer Genome Atlas (TCGA) database. We obtained the intersection of DEPs and DEGs and identified the roles of shared and remaining DEPs in corresponding cancers based on published research. Finally, we found 192, 179, 154 and 147 DEPs in lung, liver, kidney and thyroid tissues and 486, 1140, 2245 and 31 DEGs related to OS in lung cancer, liver cancer, kidney cancer and thyroid cancer, respectively. 4, 8, 6 and 0 shared genes/proteins and 48, 42, 14 and 10 remaining proteins were verified to play a role in lung cancer, liver cancer, kidney cancer and thyroid cancer, respectively. Changes in 85% (44/52), 78% (39/50), 80% (16/20) and 90% (9/10) of the verified genes/proteins, including shared and remaining genes, showed poor effects on patients with the 4 cancer types with COVID-19. In conclusion, the changes in genes/proteins caused by SARS-CoV-2 might dictate the different degrees of adverse outcomes in patients with different tumors.

Interactions between COVID-19 and Lung Cancer: Lessons Learned during the Pandemic

Simple Summary

COVID-19 is a respiratory infectious disease caused by the coronavirus SARS-CoV-2. Lung cancer is the leading cause of all cancer-related deaths worldwide. As both SARS-CoV-2 and lung cancer affect the lungs, the aim of this narrative review is to provide a consolidation of lessons learned throughout the pandemic regarding lung cancer and COVID-19. Risk factors found in lung cancer patients, such as advanced cancers, smoking, male, etc., have been associated with severe COVID-19. The cancer treatments hormonal therapy, immunotherapy, and targeted therapy have shown no association with severe COVID-19 disease, but chemotherapy and radiation therapy have shown conflicting results. Logistical changes and modifications in treatment plans were instituted during the pandemic to minimize SARS-CoV-2 exposure while maintaining life-saving cancer care. Finally, medications have been developed to treat early COVID-19, which can be highly beneficial in vulnerable cancer patients, with paxlovid being the most efficacious drug currently available.

Abstract

Cancer patients, specifically lung cancer patients, show heightened vulnerability to severe COVID-19 outcomes. The immunological and inflammatory pathophysiological similarities between lung cancer and COVID-19-related ARDS might explain the predisposition of cancer patients to severe COVID-19, while multiple risk factors in lung cancer patients have been associated with worse COVID-19 outcomes, including smoking status, older age, etc. Recent cancer treatments have also been urgently evaluated during the pandemic as potential risk factors for severe COVID-19, with conflicting findings regarding systemic chemotherapy and radiation therapy, while other therapies were not associated with altered outcomes. Given this vulnerability of lung cancer patients for severe COVID-19, the delivery of cancer care was significantly modified during the pandemic to both proceed with cancer care and minimize SARS-CoV-2 infection risk. However, COVID-19-related delays and patients’ aversion to clinical settings have led to increased diagnosis of more advanced tumors, with an expected increase in cancer mortality. Waning immunity and vaccine breakthroughs related to novel variants of concern threaten to further impede the delivery of cancer services. Cancer patients have a high risk of severe COVID-19, despite being fully vaccinated. Numerous treatments for early COVID-19 have been developed to prevent disease progression and are crucial for infected cancer patients to minimize severe COVID-19 outcomes and resume cancer care. In this literature review, we will explore the lessons learned during the COVID-19 pandemic to specifically mitigate COVID-19 treatment decisions and the clinical management of lung cancer patients.

COVID-19 Case Fatality Rate and Factors Contributing to Mortality in Ethiopia: A Systematic Review of Current Evidence

Background

The ongoing novel coronavirus disease 2019 (COVID-19) is triggering significant morbidity and mortality due to its contagious nature and absence of definitive management. In Ethiopia, despite a number of primary studies have been conducted to estimate the case fatality rate (CFR) of COVID-19, no review study has attempted to summarize the findings to better understand the nature of pandemics and the virulence of the disease.

Objective

To summarize the CFR of COVID-19 and factors contributing to mortality in Ethiopia.

Methods

PRISMA guideline was followed. PubMed, Science Direct, CINAHL, SCOPUS, Hinari, and Google Scholar were systematically searched using pre-specified keywords. Observational studies ie, cohort, cross-sectional, and case-control studies were included. The Newcastle-Ottawa scale adapted for observational studies was used to assess the quality of included studies. CFR was defined as the proportion of COVID-19 cases with the outcome of death within a given period. Factors contributing to COVID-19 mortality at p-value <0.05 were described narratively from the eligible articles.

Results

A total of 13 observational studies were included in this study. Consequently, this review confirmed the CFR of COVID-19 in Ethiopia ranges between 1–20%. Additionally, comorbid conditions, older age group, male sex, substance use, clinical manifestations (abnormal oxygen saturation level, atypical lymphocyte count, fever, and shortness of breath), disease severity, and history of surgery/trauma increased the likelihood of death from COVID-19 death.

Conclusion

This study shows that the range of CFR of COVID-19 in Ethiopia is almost equivalent to other countries, despite the country’s low testing capacity and case detection rate in reference to its total population. Comorbid diseases, older age group, male sex, cigarette smoking, alcohol drinking, clinical manifestations and disease severity, and history of surgery/trauma were factors contributing to COVID-19 mortality in Ethiopia. Therefore, given the alarming global situation and rapidly evolving large-scale pandemics, urgent interdisciplinary interventions should be implemented in those vulnerable groups to lessen the risk of mortality. Furthermore, the CFR of COVID-19 should be estimated from all treatment and rehabilitation centers in the country, as underestimation could be linked to a lack of preparedness and mitigation. A large set of prospective studies are also compulsory to better understand the CFR of COVID-19 in Ethiopia.

COVID-19 in patients with hematologic malignancy

The coronavirus infectious disease (COVID-19) shows a remarkable symptomatic heterogeneity. Several risk factors including advanced age, previous illnesses and a compromised immune system contribute to an unfavorable outcome. In patients with hematologic malignancy, the immune response to severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is significantly reduced explaining why the mortality rate of hematologic patients hospitalized for a SARS-CoV-2 infection is about 34%. Active immunization is an essential pillar to prevent SARS-CoV-2 infections in patients with hematologic malignancy. However, the immune response to SARS-CoV-2 vaccines may be significantly impaired, as only half of patients with hematologic malignancy develop a measurable anti-viral antibody response. The subtype of hematologic malignancy and B-cell depleting treatment predict a poor immune response to vaccination. Recently, antiviral drugs and monoclonal antibodies for pre-exposure or post-exposure prophylaxis and for early treatment of COVID-19 have become available. These therapies should be offered to patients at high risk for severe COVID-19 and vaccine non-responder. Importantly, as the virus evolves, some therapies may lose their clinical efficacy against new variants. Therefore, the ongoing pandemic will remain a major challenge for patients with hematologic malignancy and their caregivers who need to constantly monitor the scientific progress in this area.

Safe provision of systemic anti-cancer treatment for urological cancer patients during COVID-19: a tertiary centre experience in the first wave of COVID-19

Background

Safe provision of systemic anti-cancer treatment (SACT) during the COVID-19 pandemic remains an ongoing concern amongst clinicians.

Methods

Retrospective analysis on uro-oncology patients who continued or started SACT between 1st March and 31st May 2020 during the pandemic (with 2019 as a comparator).

Results

441 patients received SACT in 2020 (292 prostate, 101 renal, 38 urothelial, 10 testicular) compared to 518 patients in 2019 (340 prostate, 121 renal, 42 urothelial, 15 testicular). In 2020, there were 75.00% fewer patients with stage 3 cancers receiving SACT (p < 0.0001) and 94.44% fewer patients receiving radical treatment (p = 0.00194). The number of patients started on a new line of SACT was similar between both years (118 in 2019 vs 102 in 2020; p = 0.898) but with 53.45% fewer patients started on chemotherapy in 2020 (p < 0.001). Overall, 5 patients tested positive for COVID-19 (one asymptomatic, one mild, two moderate, one severe resulting in death). Compared to 2019, 30-day mortality was similar (1.69% in 2019 vs 0.98% in 2020; p = 0.649) whereas 6-month mortality was lower (9.32% in 2019 vs 1.96% in 2020; p = 0.0209) in 2020.

Conclusion

This study suggests that delivery of SACT to uro-oncology patients during COVID-19 pandemic may be safe in high-incidence areas with appropriate risk-reduction strategies.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12894-022-01023-6.

Survival and risk of COVID-19 after SARS-COV-2 vaccination in a series of 2391 cancer patients

BACKGROUND

Patients with cancer are at high risk of severe or lethal COVID-19. The impact of SARS-COV-2 vaccination on the risk of developing COVID-19 was investigated in an exhaustive series of patients from a comprehensive cancer center.

METHODS

This is a study of the exhaustive population of 2391 cancer patients who were prescribed SARS-COV-2 vaccination until 09/21. Patient characteristics, documented SARS-COV-2 infection with RT-PCR, and survival were collected. The primary endpoint was the rate of COVID-19 after vaccination. Secondary endpoints included risk factors to develop COVID-19 after vaccination, with a comparison with the cohort of vaccinated health care workers (HCW), and risk factors for death.

RESULTS

From January to September 2021, among 2391 patients with cancer under active treatment in whom a SARS-COV-2 vaccine was prescribed, 659 (28%), 1498 (63%) and 139 (6%) received 1, 2, and 3 doses, respectively. Ninety five patients received a single dose of vaccine after a previous COVID-19. Two thousand two hundred eighty five health care workers (HCW) received one (N = 17, 0.7%), 2-3 (N = 2026, 88.7%) vaccine doses and one dose after COVID-19 (N = 242, 10.6%). With a median follow-up of 142 and 199 days for patients and HCW, respectively. Thirty nine (1.6%) patients and 35 (1.5%) HCW developed COVID-19 after vaccination. Six of 39 cancer patients and no HCW died because ofCOVID-19 within 50 days after diagnosis. Independent risk factors for COVID-19 in vaccinated patients were age, single dose of vaccine without previous COVID-19 and anti-CD20 treatment in the last three months. Independent risk factors for death included metastatic disease, gender, cancer type, but also documented COVID-19 before vaccination.

CONCLUSIONS

Patients receiving two or more doses of COVID-19 vaccine have reduced risk of COVID-19. The risk of death of vaccinated cancer patients presenting COVID-19 remains high. COVID-19 before vaccination is associated with an increased overall risk of death.

Variation in Cause-Specific Mortality Rates in Italy during the First Wave of the COVID-19 Pandemic: A Study Based on Nationwide Data

Italy was a country severely hit by the first coronavirus disease 2019 (COVID-19) pandemic wave in early 2020. Mortality studies have focused on the overall excess mortality observed during the pandemic. This paper investigates the cause-specific mortality in Italy from March 2020 to April 2020 and the variation in mortality rates compared with those in 2015-2019 regarding sex, age, and epidemic area. Causes of death were derived from the national cause-of-death register. COVID-19 was the leading cause of death among males and the second leading cause among females. Chronic diseases, such as diabetes and hypertensive, ischemic heart, and cerebrovascular diseases, with decreasing or stable mortality rates in 2015-2019, showed a reversal in the mortality trend. Moreover, mortality due to pneumonia and influenza increased. No increase in neoplasm mortality was observed. Among external causes of death, mortality increased for accidental falls but reduced for transport accidents and suicide. Mortality from causes other than COVID-19 increased similarly in both genders and more at ages 65 years or above. Compared with other areas in Italy, the Lombardy region showed the largest excess in mortality for all leading causes. Underdiagnosis of COVID-19 at the beginning of the pandemic may, to some extent, explain the mortality increase for some causes of death, especially pneumonia and other respiratory diseases.

Predictors of Mortality Among Hospitalized COVID-19 Patients at a Tertiary Care Hospital in Ethiopia

BACKGROUND

The very unprecedented virus causing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has continued causing catastrophes in economy and loss of human lives. Despite countries' urgent and resilient public health actions against the COVID-19 pandemic, the disease is causing a large number of deaths. However, predictors of mortality among hospitalized COVID-19 patients have not been well investigated in Ethiopia. Therefore, this study aimed to identify the predictors of mortality among hospitalized COVID-19 patients at a tertiary care hospital in Ethiopia.

METHODS

A hospital-based retrospective cohort design study was implemented among hospitalized COVID-19 patients at a tertiary care hospital in Harar, Ethiopia from March 20 to August 20, 2021. Data of 531 admitted patients were entered using Epi-data 3.1 and exported to STATA 14.2 for analysis. Binary logistic regression was used to identify significant predictors of outcome variables with an adjusted odds ratio (AOR) with a 95% confidence interval.

RESULTS

Of the total 531 study participants, 101 deaths occurred. The mortality rate was 16.2 per 1000 person-days of observation with median survival time of 44 days with IQR [28, 74]. Smoking history [AOR=2.55, 95% CI (1.15, 5.65)], alcohol history [AOR=2.3, 95% CI (1.06, 4.97)], comorbidities [AOR=2.95, 95% CI (1.26, 6.91)], and increasing oxygen saturation [AOR=0.92, 95% CI (0.89, 0.95)], and lymphocyte count [AOR=0.90, 95% CI (0.88, 0.97)] were independent significant predictors of death from Covid-19.

CONCLUSION

The incidence of mortality among hospitalized COVID-19 patients was found to be high. Devising individual, tailored management for patients with "risk" behaviors, comorbid conditions, and poor prognostic markers such as lymphopenia and low oxygen saturation, may reduce the incidence of death among hospitalized COVID-19 patients.

Prevalence, determinants, and outcomes of SARS-COV-2 infection among cancer patients. A population-based study in northern Italy

BACKGROUND

It is well established that cancer patients infected with SARS-CoV-2 are at particularly elevated risk of adverse outcomes, but the comparison of SARS-CoV-2 infection risk between cancer patients and cancer-free individuals has been poorly investigated on a population-basis.

METHODS

A population-based study was thus conducted in Friuli Venezia Giulia region, northeastern Italy, to estimate prevalence and determinants of SARS-CoV-2 infection among cancer patients, as compared to cancer-free individuals, and to evaluate adverse outcomes of SARS-CoV-2 infection. The study included 263,042 individuals tested for SARS-CoV-2 in February-December 2020 with cancer history retrieved through the regional cancer registry. Odds ratios (ORs) of SARS-CoV-2 positivity, with corresponding 95% confidence intervals (CIs), were calculated using multivariable logistic regression models, adjusted for sex and age. Hazard ratios (HRs) adjusted for sex and age for intensive care unit (ICU) admission and all-cause death were estimated using Cox models.

RESULTS

Among 26,394 cancer patients tested for SARS-CoV-2, the prevalence of infection was 11.7% versus 16.2% among 236,648 cancer-free individuals, with a corresponding OR = 0.59 (95% CI: 0.57-0.62). The prevalence was much higher (29% in both groups) during the second pandemic wave (October-December 2020). Among cancer patients, age ≥80 years and cancer diagnosis ≥13 months before SARS-CoV-2 testing were the major risk factors of infection. Among 3098 infected cancer patients, the fatality rate was 17.4% versus 15.8% among 23,296 negative ones (HR = 1.63, 95% CI: 1.49-1.78), and versus 5.0% among 38,268 infected cancer-free individuals (HR = 1.23, 95% CI: 1.12-1.36). No significant differences emerged when considering ICU admission risk.

CONCLUSION

Albeit cancer patients reported reduced SARS-CoV-2 infection risk, those infected showed higher mortality than uninfected ones and infected cancer-free population. Study findings claim for continuing to protect cancer patients from SARS-CoV-2, without reducing the level of oncologic care.