Low risk of bacterial co-infection, opportunistic diseases, and persistent immunosuppression in people living with HIV and COVID-19.

PURPOSE: SARS-CoV-2 infection produces lymphopenia and CD4+ T-cell decrease, which could lead to a higher risk of bacterial co-infection or impair immunological evolution in people living with HIV (PLWH). METHODS: We investigated the rate of co-infection and superinfection, and the evolution of CD4+ count and CD4+/CD8+ ratio, in hospitalized PLWH with COVID-19. RESULTS: From March to December 2020, 176 PLWH had symptomatic COVID-19 and 62 required hospitalization (median age, 56 years, 89% males). At admission, 7% and 13% of patients had leukocytosis or increased procalcitonin values and 37 (60%) received empiric antibiotic therapy, but no bacterial co-infection was diagnosed. There were seven cases of superinfection (12%), and one case of P. jiroveci pneumonia during ICU stay. No significant change in CD4+ count or CD4+/CD8+ ratio was observed after discharge. CONCLUSION: Bacterial co-infection is not frequent in PLWH with COVID-19. Immune recovery is observed in most of patients after the disease.

Immunosuppression and COVID-19 infection in British Columbia: Protocol for a linkage study of population-based administrative and self-reported survey data.

INTRODUCTION: Cases of the novel coronavirus disease (COVID-19) continue to spread around the world even one year after the declaration of a global pandemic. Those with weakened immune systems, due to immunosuppressive medications or disease, may be at higher risk of COVID-19. This includes individuals with autoimmune diseases, cancer, transplants, and dialysis patients. Assessing the risk and outcomes of COVID-19 in this population has been challenging. While administrative databases provide data with minimal selection and recall bias, clinical and behavioral data is lacking. To address this, we are collecting self-reported survey data from a randomly selected subsample with and without COVID-19, which will be linked to administrative health data, to better quantify the risk of COVID-19 infection associated with immunosuppression. METHODS AND ANALYSIS: Using administrative and laboratory data from British Columbia (BC), Canada, we established a population-based case-control study of all individuals who tested positive for SARS-CoV-2. Each case was matched to 40 randomly selected individuals from two control groups: individuals who tested negative for SARS-CoV-2 (i.e., negative controls) and untested individuals from the general population (i.e., untested controls). We will contact 1000 individuals from each group to complete a survey co-designed with patient partners. A conditional logistic regression model will adjust for potential confounders and effect modifiers. We will examine the odds of COVID-19 infection according to immunosuppressive medication or disease type. To adjust for relevant confounders and effect modifiers not available in administrative data, the survey will include questions on behavioural variables that influence probability of being tested, acquiring COVID-19, and experiencing severe outcomes. ETHICS AND DISSEMINATION: This study has received approval from the University of British Columbia Clinical Research Ethics Board [H20-01914]. Findings will be disseminated through scientific conferences, open access peer-reviewed journals, COVID-19 research repositories and dissemination channels used by our patient partners.

Prior immunosuppressive therapy is associated with mortality in COVID-19 patients: A retrospective study of 835 patients.

Though it is widely believed that chronic immunosuppressive medications increase the severity of coronavirus disease 2019 (COVID-19) illness, there is little data to support this. We performed a retrospective study of COVID-19 positive patients diagnosed at a single academic medical center between March 10, 2020 and October 13, 2020. A total of 835 patients diagnosed with COVID-19 by polymerase chain reaction were included (median age 64 years; 52% female). Of these, 46 (5.5%) had a prescription for an immunosuppressive therapy before diagnosis, most commonly oral steroids (20, 43%), mycophenolate (12, 26%), or tacrolimus (11, 24%). Patients on immunosuppressive therapy with COVID-19 had increased mortality (30% vs. 17%, p = 0.036; odds ratio 2.1, 95% confidence interval 1.11-4.04), which remained significant (p = 0.040) after performing multivariate logistic regression controlling for gender, age, race, and comorbidity status. Laboratory markers of inflammation were uniformly elevated in both patients on or not on immunosuppressive therapies who died, but lymphocytes and neutrophils were decreased in both COVID-19 patients on immunosuppressive therapies who died and who remained alive. These findings demonstrate that COVID-19 disease is more severe in patients taking prior immunosuppressive medications. This finding emphasizes the need for aggressive monitoring and supportive care for immunosuppressed patients who are diagnosed with COVID-19.

Consequences of the first and second COVID-19 wave on kidney transplant recipients at a large Indian transplant centre.

BACKGROUND: There is a scarcity of data comparing the consequences of first and second COVID-19 waves on kidney transplant recipients (KTRs) in India. METHODS: We conducted a single-centre retrospective study of 259 KTRs with COVID-19 to compare first wave (March 15-December 31 2020, n = 157) and second wave (April 1-May 31 2021, n = 102). RESULTS: KTRs during second wave were younger (43 vs. 40 years; p-value .04) and also included paediatric patients (0 vs. 5.9%; p-value .003). Symptoms were milder during the second wave (45 vs. 62.7%; p-value .007); COVID-19 positive patients had less frequent cough (32 vs. 13.8%; p-value .001), fever was less frequent (58 vs. 37%; p-value .001), and we observed fewer co-morbidities (11 vs. 20.6%; p-value .04). The percentages of neutrophils (77 vs. 83%; p-value .001) and serum ferritin (439 vs. 688; p-value .0006) were higher during second wave, while lymphocyte counts were reduced (20 vs. 14%; p-value .0001). Hydroxychloroquine (11 vs. 0%; p-value .0001) and tocilizumab (7 vs. 0%; p-value .004) were more frequently prescribed during first wave, while utilization of dexamethasone (6 vs. 27%; p-value .0001) and remdesivir (47 vs. 65%; p-value .03) increased during the second wave. Mucormycosis (1.3 vs. 10%; p-value .01) and ICU admissions (20 vs. 37.2%; p-value .002) were more frequent during second wave. The 28-day mortality rate (9.6 vs. 10%; p-value 1) was not different. CONCLUSIONS: There has been a different clinical spectrum of COVID-19 amongst KTR with similar mortality between the two waves at a large Indian transplant centre.