Clinical characteristics and outcomes of COVID-19 in kidney transplant recipients

Introduction. The pandemic caused by the SARS-CoV-2 coronavirus is characterized by significant morbidity and mortality. Kidney transplant recipients are at high risk of a more severe course of coronavirus infection due to ongoing immunosuppression, a high comorbidity index, and elder age.Aim. To investigate the features of the clinical course, the treatment applied and also the outcomes of the new coronavirus infection in patients after kidney transplantation.Material and methods. The retrospective study included 69 adult kidney transplant recipients continuously followed-up by our transplant nephrology service and who fell ill with COVID-19 from April 2020 till February 2021. The comparison study of the clinical pattern, laboratory and instrumental test results, treatment features and outcomes was made.Results. The most common clinical symptoms were hyperthermia (85.5%, n= 59), weakness (65.2%, n=45) and cough (52.2%, n=36), other symptoms were significantly less common. In 89.5% of cases (n=60), the virus ribonucleic acid was detected at least once by polymerase chain reaction; in 10.5% of cases (n=7), the polymerase chain reaction results were negative. According to CT, the extent of lung tissue lesion was identified as CT1 stage in 28 patients (46.7%), CT2 stage in 24 (40%); and only in 8 (13%) patients the lesion was assessed as CT3. Later on the number of patients with more than 50% lung damage increased to 16 (26.7%) and in 1 case the severity of lung tissue damage was consistent with CT4. Typical features for all patients were anemia and lymphopenia of varying severity, hypoproteinemia, increased serum creatinine and urea, C-reactive protein, ferritin, procalcitonin and D-dimer in the laboratory test results. The treatment included antiviral, antibacterial, anticoagulant therapy, corticosteroids, biological anti-cytokine drugs. In 95% of cases (n=66), the maintenance immunosuppressive therapy was changed up to complete withdrawal of the certain components. The patient survival rate with a functioning graft was 76.8% (n=53), the graft loss was observed in 4.3% of cases (n=3), and the lethal outcome was reported in 18.8% (n=13). The cause of death was a severe respiratory distress syndrome with multiple organ dysfunction complicated by sepsis and septic shock in 8 patients (61.5%). Invasive ventilation and hemodialysis were associated with 17.2 (p<0.00001) and 21.5 (p<0.0006) times higher risk of death, respectively.Conclusions. Severe lymphopenia is associated with a clinical worsening of the COVID-19 course. Predictors of fatal outcome were identified as follows: bacterial sepsis, invasive ventilation, the need for renal replacement therapy (p<0.00001). Immunosuppression adjustment should be personalized considering the severity of infection, age, comorbidities, post-transplant timeframe, and the risk of rejection.><0.00001). Immunosuppression adjustment should be personalized considering the severity of infection, age, comorbidities, post-transplant timeframe, and the risk of rejection.

On the use of aggregated human mobility data to estimate the reproduction number

The reproduction number of an infectious disease, such as CoViD-19, can be described through a modified version of the susceptible-infected-recovered (SIR) model with time-dependent contact rate, where mobility data are used as proxy of average movement trends and interpersonal distances. We introduce a theoretical framework to explain and predict changes in the reproduction number of SARS-CoV-2 in terms of aggregated individual mobility and interpersonal proximity (alongside other epidemiological and environmental variables) during and after the lockdown period. We use an infection-age structured model described by a renewal equation. The model predicts the evolution of the reproduction number up to a week ahead of well-established estimates used in the literature. We show how lockdown policies, via reduction of proximity and mobility, reduce the impact of CoViD-19 and mitigate the risk of disease resurgence. We validate our theoretical framework using data from Google, Voxel51, Unacast, The CoViD-19 Mobility Data Network, and Analisi Distribuzione Aiuti.

Clinical features and predictors of mortality among hospitalized patients with COVID-19 in Niger

Introduction COVID-19 has spread across the African continent, including Niger. Yet very little is known about the phenotype of people who tested positive for COVID-19. In this humanitarian crises region, we aimed at characterizing variation in clinical features among hospitalized patients with COVID-19-like syndrome and to determine predictors associated with COVID-19 mortality among those with confirmed COVID-19. Methods The study was a retrospective nationwide cohort of hospitalized patients isolated for COVID-19 infection, using the health data of the National Health Information System from 19 March 2020 (onset of the pandemic) to 17 November 2020. All hospitalized patients with COVID-19-like syndrome at admission were included. A Cox-proportional regression model was built to identify predictors of in-hospital death among patients with confirmed COVID-19. Results Sixty-five percent (472/729) of patients hospitalized with COVID-19 like syndrome tested positive for SARS-CoV-2 among which, 70 (15%) died. Among the patients with confirmed COVID-19 infection, age was significantly associated with increased odds of reporting cough (adjusted odds ratio [aOR] 1.02; 95% confidence interval [CI] 1.01–1.03) and fever/chills (aOR 1.02; 95% CI 1.02–1.04). Comorbidity was associated with increased odds of presenting with cough (aOR 1.59; 95% CI 1.03–2.45) and shortness of breath (aOR 2.03; 95% CI 1.27–3.26) at admission. In addition, comorbidity (adjusted hazards ratio [aHR] 2.04; 95% CI 2.38–6.35), shortness of breath at baseline (aHR 2.04; 95% CI 2.38–6.35) and being 60 years or older (aHR 5.34; 95% CI 3.25–8.75) increased the risk of COVID-19 mortality two to five folds. Conclusion Comorbidity, shortness of breath on admission, and being aged 60 years or older are associated with a higher risk of death among patients hospitalized with COVID-19 in a humanitarian crisis setting. While robust prospective data are needed to guide evidence, our data might aid intensive care resource allocation in Niger.

COVID-19 first and delta waves in relation to ACEI, ARB, Influenza vaccination, and comorbidity in a North Metropolitan Barcelona Health Consortium

BACKGROUND: Some authors have reported that angiotensin converter enzyme inhibitors (ACEI) and angiotensin receptor blockers (ARB) improve clinical outcomes in hypertensive COVID-19 patients, and others have proposed cross-protection for influenza vaccination. This study explores the impact of these variables on the evolution of hospitalized patients, focusing in the first wave and the Delta wave. METHODS: Hospitalizations (n=1888) from March 1, 2020, to July 31, 2021, in the Hospital of Terrassa, the referral center for the free access Terrassa Health Consortium in the North Metropolitan Barcelona Health Region (population=167,386) were studied. The number of chronic treatments and conditions of patients from the initial outbreak (n=184) and the Delta outbreak (n=158) were recorded. RESULTS: Of the non-survivors, 96.3% were aged >60 years in the first wave and 100% were aged >70 years in the Delta wave. In non-survival hospitalized patients aged >60 years, the percentage treated with ACEI was similar to general population but was significantly different for ARB treatments of influenza vaccination, although associated to a higher comorbidity and age. In July 2021, the number of hospitalizations for patients aged <50 years was higher than March 2020 and 22% of hospitalized patients without chronic treatments and conditions needed admission to the intensive care unit. Mortality was reduced in the groups with most comorbidities who received influenza and SARS-CoV2 vaccination. CONCLUSIONS: In COVID-19 infection, age and comorbidity are related to survival, ACEI use is safe. A high proportion of patients without comorbidity require hospitalization and intensive care.

336. COVID-19 and Pneumocystis jiroveci Pneumonia

Background More accounts of opportunistic infection in COVID-19 patients are emerging. At our institution, we identified 2 COVID-19 patients with Pneumocystis jiroveci pneumonia (PJP) opportunistic infection. This prompted a review of the literature to identify trends in patient characteristics, risk factors, and outcomes in this population. Methods A literature review was conducted using PubMed that identified 13 other patients with both COVID-19 and PJP infection. Age, gender, human immunodeficiency virus (HIV) status, other immunocompromised states, time between COVID-19 and PJP diagnosis, and clinical outcomes were captured for analysis. Results Eleven patients were male. The average age was 56 years. All but 2 patients were immunocompromised. At time of PJP diagnosis, seven patients had newly diagnosed HIV and one had known, well-controlled HIV. One patient had rheumatoid arthritis receiving leflunomide, 1 had ulcerative colitis receiving budesonide and sulfasalazine, 2 patients had multiple myeloma whereby both were on lenalidomide, 1 patient was a renal transplant recipient immunosuppressed on tacrolimus, mycophenolate, and methylprednisolone, and 1 patient had chronic lymphocytic leukemia getting fludarabine, cyclophosphamide, and rituximab. Nine patients had positive COVID-19 and PJP tests performed within 7 days of one another. One patient tested positive for PJP 54 days into admission for COVID-19. This patient received high dose steroids and tocilizumab for initial COVID-19 infection. Three patients were re-hospitalized with PJP after a recent admission for COVID-19 pneumonia, with a mean time to readmission of 25 days. One of these 3 patients had no treatment for COVID-19, while 2 received steroids. Five of the total 15 patients (33%) died. Conclusion COVID-19 treatments with high dose steroids and tocilizumab can make patients vulnerable for opportunistic infection with PJP. Furthermore, COVID-19 is known to cause lymphopenia which may further increase this risk. A diagnosis of concomitant PJP can be especially challenging due to nearly identical radiographical findings. Serum beta-D glucan and HIV testing can be especially helpful in this situation, and there should be a low threshold for performing bronchoalveolar lavage. Disclosures All Authors: No reported disclosures

Epidemiological model of COVID-19 in healthcare workers: occupational vs. environmental disease

This study aims to estimate the occupational etiology of COVID-19 in the healthcare sector and obtain a risk matrix for the burden of disease across occupations and specific activities. The study population included 4515 cases and 133077 controls. We have used an epidemiological model that included data collected over one year from employed persons with confirmed SARS-CoV-2 infection, age group 20-64, and residing in Sibiu County. We measured the incidence rate (IR), relative risk (RR), and risk of COVID-19 attributable to the occupational exposure (AR), respectively, statistical analysis based on frequency distribution and the portion of cases to compute the risk levels in social- and healthcare workers. According to this model, approximately 70.5% of COVID-19 risk could be attributable to occupational exposure. The workplace is a strong predictor of infection risk (RR 3.4), particularly in residential long-term care facilities, hospitals, and ambulance services. The highest-risk job functions are nurse, nursing assistant, ambulance worker, and dentist. In conclusion, we believe in having demonstrated that epidemiological modeling may be helpful for risk management and notification of COVID-19 as an occupational disease in frontline staff and essential healthcare personnel.

BNT162b2 and ChAdOx1 SARS-CoV-2 Post-vaccination Side-Effects Among Saudi Vaccinees

Background: Vaccination against SARS-CoV-2 is important for reducing hospitalization and mortalities. Both Pfizer-BioNTech (BNT162b2) and the Oxford-AstraZeneca (ChAdOx1 nCoV-19) vaccines are used in Saudi Arabia and in many parts of the world. Post-vaccinal side effects were recorded, so we aimed to screen different complaints after vaccination among vaccinees in Saudi Arabia.Methods: An online questionnaire was designed to screen the local, systemic, and allergic post vaccination reactions for vaccinees who received either one or two doses of the BNT162b2 vaccine or one dose of the ChAdOx1 vaccine. The number and percentage were recorded for each response and analyzed using cross-tab and Chi square tests. The degree of the severity of post vaccination reactions were analyzed using Roc curve. The cofactors that may affect the severity of post-vaccinal reactions including previous COVID-19 infection, age, sex, body mass index, and comorbidities were investigated.Results: During our study, 4,170 individuals reported their responses: 2,601 received one dose of BNT162b2, of whom 456 completed the second dose, and 1,569 received a single dose of ChAdOx1. The side effects were reported in 85.6% of BNT162b2 vaccinees and 96.05% of ChAdOx1 vaccinees who voluntarily responded to a survey about post-vaccination side effects. The side effects were more severe in BNT162b2 than ChAdOx1. ChAdOx1 vaccinees reported mild, moderate, severe and critical side effects in 30.13, 28.62, 29.73, and 1.53%, respectively. In contrast, mild side effects were recorded among the majority of BNT162b2 vaccinees (63.92%) while moderate, severe, and critical side effects were 27.67, 7.68, and 0.72%, respectively. Both local and systemic side effects were recorded more frequently in ChAdOx1 in comparison to BNT162b2 vaccinees. Palpitation was among the new systemic side effects reported in the current study in high frequency. Abnormal menstrual cycle (delaying/increase hemorrhages or pain) was also reported in 0.98% (18/1846) of Pfizer-BioNTech and 0.68% (7/1028) of ChAdOx1 vaccinees, while deep vein thrombosis was only reported in a single case vaccinated with BNT162b2 vaccine.Conclusion: Both vaccines induced post-vaccinal side effects; however, ChAdOx1 induces a higher frequency of post-vaccinal systemic side effects than BNT162b2.