Identification of pre-infection markers and differential plasma protein expression following SARS-CoV-2 infection in people living with HIV.

BACKGROUND: Mechanisms contributing to COVID-19 severity in people with HIV (PWH) are poorly understood. We evaluated temporal changes in plasma proteins following SARS-CoV-2 infection and identified pre-infection proteomic markers associated with future COVID-19. METHODS: We leveraged data from the global Randomized Trial to Prevent Vascular Events in HIV (REPRIEVE). Antiretroviral therapy (ART)-treated PWH with clinical, antibody-confirmed COVID-19 as of September 2021 were matched on geographic region, age, and sample timing to antibody negative controls. For cases and controls, pre COVID-19 pandemic specimens were obtained prior to January 2020 to assess change over time and relationship to COVID-19 severity, using false-discovery adjusted mixed effects modeling. FINDINGS: We compared 257 unique plasma proteins in 94 COVID-19 antibody-confirmed clinical cases and 113 matched antibody-negative controls, excluding COVID-19 vaccinated participants (age 50 years, 73% male). 40% of cases were characterized as mild; 60% moderate to severe. Median time from COVID-19 infection to follow-up sampling was 4 months. Temporal patterns of protein changes differed based on COVID-19 disease severity. Among those experiencing moderate to severe disease vs. controls, NOS3 increased whereas ANG, CASP-8, CD5, GZMH, GZMB, ITGB2, and KLRD1 decreased. Higher pre-pandemic levels of granzymes A, B and H (GZMA, GZMB and GZMH) were associated with the future development of moderate-severe COVID-19 and were related to immune function. INTERPRETATION: We identified temporal changes in proteins closely linked to inflammatory, immune, and fibrotic pathways which may relate to COVID-19-related morbidity among ART-treated PWH. Further we identified key granzyme proteins associated with future COVID-19 in PWH. FUNDING: This study is supported through NIH grants U01HL123336, U01HL123336-06 and 3U01HL12336-06S3, to the clinical coordinating center, and U01HL123339, to the data coordinating center as well as funding from Kowa Pharmaceuticals, Gilead Sciences, and a grant award through ViiV Healthcare. The NIAID supported this study through grants UM1 AI068636, which supports the AIDS Clinical Trials Group (ACTG) Leadership and Operations Center, and UM1 AI106701, which supports the ACTG Laboratory Center. This work was also supported by NIAID through grant K24AI157882 to MZ. The work of IS was supported by the intramural research program of NIAID/NIH.

Impact of Previous Common Human Coronavirus Exposure on SARS-CoV-2-Specific T-Cell and Memory B-Cell Response after mRNA-Based Vaccination.

OBJECTIVE: T-cell responses against SARS-CoV-2 are observed in unexposed individuals, attributed to previous common human coronavirus (HCoV) infections. We evaluated the evolution of this T-cell cross-reactive response and the specific memory B-cells (MBCs) after the SARS-CoV-2 mRNA-based vaccination and its impact on incident SARS-CoV-2 infections. METHODS: This was a longitudinal study of 149 healthcare workers (HCWs) that included 85 unexposed individuals that were subdivided according to previous T-cell cross-reactivity, who were compared to 64 convalescent HCWs. Changes in specific T-cell response and memory B-cell (MBC) levels were compared at baseline and after two doses of the SARS-CoV-2 mRNA-based vaccine. RESULTS: A cross-reactive T-cell response was found in 59% of unexposed individuals before vaccination. Antibodies against HKU1 positively correlated with OC43 and 229E antibodies. Spike-specific MBCs was scarce in unexposed HCWs regardless of the presence of baseline T-cell cross-reactivity. After vaccination, 92% and 96% of unexposed HCWs with cross-reactive T-cells had CD4+ and CD8+ T-cell responses to the spike protein, respectively. Similar results to that were found in convalescents (83% and 92%, respectively). Contrarily, higher than that which was observed in unexposed individuals without T-cell cross-reactivity showed lower CD4+ and CD8+ T-cell responses (73% in both cases, p = 0.03). Nevertheless, previous cross-reactive T-cell response was not associated with higher levels of MBCs after vaccination in unexposed HCWs. During a follow-up of 434 days (IQR, 339-495) after vaccination, 49 HCWs (33%) became infected, with a significant positive correlation between spike-specific MBC levels and isotypes IgG+ and IgA+ after vaccination and a longer time to get infected. Interestingly, T-cell cross-reactivity did not reduce the time to vaccine breakthrough infections. CONCLUSION: While pre-existing T-cell cross-reactivity enhances the T-cell response after vaccination, it does not increase SARS-CoV-2-specific MBC levels in the absence of previous infection. Overall, the level of specific MBCs determines the time to breakthrough infections, regardless of the presence of T-cell cross-reactivity.

Lower T cell response against SARS-CoV-2 variants of concern after mRNA vaccine and risk of breakthrough infections in people with HIV.

OBJECTIVES: We evaluated T-cell immune responses against SARS-CoV-2 variants of concern (VOC) after vaccination in people with HIV (PWH), and their impact on the incidence of disease. METHODS: A prospective cohort study. Peripheral blood mononuclear cells (PBMCs) were collected a median of 53 days after second dose of mRNA vaccine. Humoral response and T cell responses against the spike (S) glycoprotein of wild-type SARS-CoV-2 (ancestral Wuhan variant) and mutated S-protein regions found in the Delta and Omicron variants were assessed by flow cytometry analysis. RESULTS: In 142 PWH without preceding SARS-CoV-2 infection, bivariate correlations showed a close association between T-cell responses to the different variants. However, despite at least 70% of PWH having a cellular immune response to any variant, CD4 + and CD8 + T cell responses against VOC were lower in frequency and magnitude (-3% and -20% for Delta, -33% and -28% for Omicron variant) compared with that observed against the Wuhan strain. A higher magnitude of SARS-CoV-2 spike-specific CD8 + T cell responses against all the variants was observed in those PWH with greater immune reconstitution. Notably, 27 symptomatic breakthrough infections (19%) in the setting of Delta and Omicron transmission were observed during follow-up, associated with a significant lower humoral and T-cell response to ancestral strain and VOC. On the contrary, only one PWH with COVID-19 (4%) required hospitalization. CONCLUSION: A blunted T-cell response against Delta and Omicron variant is observed in PWH who received two doses of mRNA vaccine. This lower immune response is associated with breakthrough SARS-CoV-2 infections.

Lost in Translation: Evaluation of Subcutaneous Interferon-ß Treatment for SARS-CoV-2 Infection in Real Life.

Despite in vitro activity of interferon-ß (IFN-ß) against SARS-CoV-2 infection, its clinical efficacy remains controversial. We evaluated the impact of IFN-ß treatment in a cohort of 3590 patients hospitalized with COVID-19 during March−April 2020. The primary endpoint was a composed variable of admission to intensive care unit (ICU)/death. Overall, 153 patients (4%) received IFN-ß. They were significantly more severely ill, with a worse clinical and analytical situation, explaining a higher ICU admission (30% vs. 17%; p < 0.01), and a shorter time to the composed variable. In a Cox regression analysis, older age, lymphopenia, renal failure, or increased neutrophil-to-lymphocyte ratio were associated with a greater hazard ratio (HR) of admission at ICU/death. Notably, the HR of IFN-ß for the outcome variable was no longer significant after adjustment (HR, 1.03; 95% CI, 0.82−1.30), and different sensitivity analysis (early IFN use, ICU admission) showed no changes in the estimates. A propensity score matching analysis showed no association of IFN-ß therapy and outcome. In conclusion, in this large cohort of hospitalized COVID-19 patients, IFN-ß was used mainly in patients with advanced disease, reflecting an important bias of selection. After adjusting by severity, IFN-ß was not associated with a higher rate of ICU admission or mortality.

Impact of SARS-CoV-2-specific memory B cells on the immune response after mRNA-based Comirnaty vaccine in seronegative health care workers.

Purpose: To analyze the impact of SARS-COV-2-specific memory B cells (MBC) on the immune response after two doses of mRNA-based Comirnaty COVID-19 vaccine in seronegative health care workers. This study is seeking a rationale for boosting vaccines. Methods: Longitudinal study including 31 seronegative health care workers with undetectable specific MBCs (IgG-MBC- group), 24 seronegative with detectable specific MBCs (IgG-MBC+ group), and 24 seropositive with detectable specific MBCs (IgG+MBC+ group). The level of antibodies that inhibit ACE2-RBD interaction, and anti-Spike IgG, IgA, and IgM antibodies was quantified by ELISA. In addition, specific memory B and T cells were quantified by flow cytometry. Results: The level of specific MBCs, and isotypes, in the IgG-MBC- group was lower compared to that found in IgG-MBC+ (p = 0.0001) and IgG+MBC+ (p < 0.0001) groups, respectively. ACE2-RBD neutralizing antibodies and anti-S IgG antibodies were at lower levels in the IgG-MBC-group after the vaccine. Specific MBCs directly correlated with specific CD4+ T cells (although not significant, p = 0.065), while no correlation was found with specific CD8+ T cells (p = 0.156) after the vaccine. In parallel, ACE2-RBD neutralizing antibodies only positively correlated with specific CD4+ T cells (p = 0.034). Conclusion: IgG-MBC- individuals showed the worst humoral and cellular responses, both in frequency and magnitude, after vaccination. Individuals whose antibodies wane and become undetectable after a given period of time post vaccination and show no specific MBCs are less protected and hence are good candidates for boosting vaccine. On the other hand, seronegative individuals with specific MBC showed faster and higher responses compared to the IgG-MBC- group.

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.

Risk of SARS-CoV-2 Reinfections in a Prospective Inception Cohort Study: Impact of COVID-19 Vaccination.

The risk of reinfection could be related to the initial SARS-CoV-2 clinical presentation, but there are no data about the risk change after SARS-CoV-2 vaccination. We evaluated the rate of reinfection in an inception cohort study of 4943 health care workers (HCWs) according to symptoms and serologic results during March-May 2020. Incidence rates (IR) and IR ratios (IRR) before and after SARS-CoV-2 vaccination were determined by adjusting Poisson models. Overall, 1005 HCWs (20.3%) referred COVID-19 suggestive symptoms during the first surge of disease, and 33.5% and 55% presented a positive PCR or serology result, respectively. Meanwhile, 13% of asymptomatic HCWs had specific antibodies. During a follow up of 3422.2 person-years before vaccination, the rate of reinfection among seropositive individuals was 81% lower for those who were symptomatic compared with those who were asymptomatic (IRR of 0.19; 95% CI, 0.05-0.67; p = 0.003). During the 3100 person-years period after vaccination, an overall 74% decrease in the rate of infection was observed (IRR of 0.26; 95% CI, 0.21-0.32; p < 0.001), with a significant 83% and 70% decrease in seropositive and seronegative HCWs, respectively. In conclusion, the risk of SARS-CoV-2 reinfections is closely related to the clinical and serological presentation of COVID-19. COVID-19 vaccination further decreases the risk of reinfection more markedly among seropositive.

Pre-existing T cell immunity determines the frequency and magnitude of cellular immune response to two doses of mRNA vaccine against SARS-CoV-2.

Little is known about the factors associated with lack of T-cell response to mRNA vaccines against SARS-CoV-2. In a prospective cohort of 61 health care workers (HCWs), 21% and 16% after the first dose of mRNA BNT162b vaccine, and 12% and 7% after the second dose, showed lack of CD4+ and CD8+ T-cell response, respectively. Pre-existing T-cell immunity, due to past infection (46%) or cross-reactive cellular response (26%), was significantly associated with T-cell response in frequency (CD4+ T-cell, 100% vs 82% after two doses; p = 0.049) and in the magnitude of T-cell response during follow up. Furthermore, baseline CD4+ T-cell correlated positively with the titer of specific IgG-antibodies after first and second vaccine dose. Our data demonstrate that cross-reactive T-cells correlate with a better cellular response as well as an enhanced humoral response, and we confirm the close correlation of humoral and cellular response after mRNA vaccination.

Expansion of CD56dimCD16neg NK Cell Subset and Increased Inhibitory KIRs in Hospitalized COVID-19 Patients.

Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2) infection induces elevated levels of inflammatory cytokines, which are mainly produced by the innate response to the virus. The role of NK cells, which are potent producers of IFN-γ and cytotoxicity, has not been sufficiently studied in the setting of SARS-CoV-2 infection. We confirmed a different distribution of NK cell subsets in hospitalized COVID-19 patients despite their NK cell deficiency. The impairment of this innate defense is mainly focused on the cytotoxic capacity of the CD56dim NK cells. On the one hand, we found an expansion of the CD56dimCD16neg NK subset, lower cytotoxic capacities, and high frequencies of inhibitory 2DL1 and 2DL1/S1 KIR receptors in COVID-19 patients. On the other hand, the depletion of CD56dimCD16dim/bright NK cell subsets, high cytotoxic capacities, and high frequencies of inhibitory 2DL1 KIR receptors were found in COVID-19 patients. In contrast, no differences in the distribution of CD56bright NK cell subsets were found in this study. These alterations in the distribution and phenotype of NK cells might enhance the impairment of this crucial innate line of defense during COVID-19 infection.

Cellular Responses to Membrane and Nucleocapsid Viral Proteins Are Also Boosted After SARS-CoV-2 Spike mRNA Vaccination in Individuals With Either Past Infection or Cross-Reactivity.

SARS-CoV-2 spike mRNA vaccines have shown remarkable clinical efficacy in the general population, although the nature of T-cell priming is not fully understood. We performed longitudinal spike-, membrane-, and nucleocapsid-specific T-cell analysis in individuals with past infection and infection-naïve individuals with cross-reactivity. We found an additional enhancement of T-cell response to the structural membrane (M) and nucleocapsid (N) SARS-CoV-2 proteins after mRNA vaccine in these individuals. Thus, despite the spike-specific response, we found that the first dose of the vaccine boosted a significant CD8 cell response to M and N proteins, whereas no cellular response to those proteins was found in infection-naïve individuals without pre-existing cross-reactivity who were tested for eventual asymptomatic infection. These findings highlight the additional benefit of mRNA vaccines as broad boosters of cellular responses to different viral epitopes in these individuals and suggest extended protection to other viral variants.

Limited T cell response to SARS-CoV-2 mRNA vaccine among patients with cancer receiving different cancer treatments.

INTRODUCTION: Patients with cancer (PC) are at high risk of acquiring COVID-19 and can develop more serious complications. Deeper understanding of vaccines immunogenicity in this population is crucial for adequately planning vaccines programs. The ONCOVac study aimed to comprehensively assess the immunogenicity of mRNA-1273 vaccine in terms of humoral and cellular response. METHODS: We conducted a prospective, single-center study including patients with solid tumours treated with cyclin-dependent kinases 4 and 6 inhibitors (CDK4/6i), immunotherapy (IT) or chemotherapy (CT). Patients were enrolled previously to vaccination with mRNA-1273. We also involved health care workers (HCW) to serve as a control group. We took blood samples before first dose administration (BL), after first dose (1D), and after second dose (2D). The primary objective was to compare the rate and magnitude of T cell response after second dose whereas safety and humoral response were defined as secondary objectives. We also collected patient reported outcomes after both the first and second vaccine dose and a six-month follow-up period to diagnose incident COVID-19 cases was planned. RESULTS: The rate of specific anti-S serologic positivity (anti-S IgG cut-off point at 7,14 BAU/mL) was significantly higher in HCW compared to PC after 1D (100% versus 83.8%; p = 0.04), but similar after 2D (100% versus 95.8%; p = 0.5). This difference after 1D was driven by PC treated with CT (100% versus 64.5%; p = 0.001). Cellular response after 2D was significantly lower in PC than in HCW for both CD4+ (91.7% versus 59.7%; p = 0.001) and CD8+ (94.4% versus 55.6%; p < 0.001) T cells. We found a difference on pre-existing CD4+ T cell response in HCW comparing to PC (36% and 17%, p = 0.03); without difference in pre-existing CD8+ T cell response (31% and 23%, p = 0.5). After excluding patients with pre-existing T cell response, PC achieved even lower CD4+ (50.9% versus 95.5%, p < 0.001) and CD8+ (45.5% versus 95.5%, p < 0.001) T cell response compared with HCW. Regarding safety, PC reported notably more adverse events than HCW (96.6% versus 69.2%, p < 0.001). CONCLUSION: We demonstrated that PC showed a similar humoral response but a lower T cell response following two doses of mRNA-1273 vaccination. Further studies are needed to complement our results and determine the implication of low T cell response on clinical protection of PC against COVID-19.

BNT162b2 mRNA COVID-19 vaccine Reactogenicity: The key role of immunity.

We examined the impact of pre-existing SARS-CoV-2-specific cellular immunity on BNT162b2 mRNA COVID-19 vaccine reactogenicity. Of 96 healthcare workers (HCWs), 76% reported any vaccine reaction (first dose: 70%, second dose: 67%), none of which was severe. Following first dose, systemic reactions were significantly more frequent among HCWs with past infection than in infection-naïve individuals, and among HCWs with pre-existing cellular immunity than in those without it. The rate of systemic reactions after second dose was 1.7 and 2.0-times higher than after first dose among infection-naïve HCWs and those without pre-existing cellular immunity, respectively. Levels of SARS-CoV-2-specific T-cells before vaccination were higher in HCWs with systemic reactions after the first dose than in those without them. BNT162b2 vaccine reactogenicity after first dose is attributable to pre-existing cellular immunity elicited by prior COVID-19 or cross-reactivity. Reactogenicity following second dose suggests an immunity-boosting effect. Overall, these data may reduce negative attitudes towards COVID-19 vaccines. Study Registration. The study was registered on clinicaltrials.gov, NCT04402827.

T-cell response after first dose of BNT162b2 SARS-CoV-2 vaccine among healthcare workers with previous infection or cross-reactive immunity.

OBJECTIVES: Antibody response to the first dose of BNT162b2 SARS-CoV-2 is greater in COVID-19-convalescent than in infection-naïve individuals. However, there are no data about T-cell response in individuals with pre-existing cellular immunity. METHODS: We evaluated T-cell responses in parallel with SARS-CoV-2 antibody level after first dose of BNT162b2 vaccine in 23 infection-naïve and 27 convalescent healthcare workers (HCWs) previously included in a study about humoral and T-cell immunity. RESULTS: Overall, the antibody response was lower in the infection-naïve group than in convalescent individuals (18 895 vs 662.7 AU mL-1, P < 0.001), and intermediate but significantly lower in convalescent HCWs with previous negative serology (25 174 vs 1793 AU mL-1; P = 0.015). Indeed, anti-spike IgG titres after the first dose correlated with baseline anti-nucleocapsid IgG titres (rho = 0.689; P < 0.001). Pre-existing T-cell immunity was observed in 78% of convalescent and 65% of the infection-naïve HCWs. T-cell response after the first dose of the vaccine was observed in nearly all the cases with pre-existing T-cell immunity, reaching 94% in convalescent HCWs and 93% in those with cross-reactive T cells. It was lower in the infection-naïve group (50%; P = 0.087) and in convalescent HCWs with negative serology (56%; P = 0.085). Notably, systemic reactogenicity after vaccination was mainly observed in those with pre-existing T-cell immunity (P = 0.051). CONCLUSION: Here, we report that the first dose of BTN162b2 elicits a similar S-specific T-cell response in cases of either past infection or cross-reactive T cells, but lower in the rest of infection-naïve individuals and in convalescent HCWs who have lost detectable specific antibodies during follow-up.

Progressive and Parallel Decline of Humoral and T-Cell Immunity in Convalescent Healthcare Workers with Asymptomatic or Mild-to-Moderate Severe Acute Respiratory Syndrome Coronavirus 2 Infection.

We investigated the duration of humoral and T-cell immune response in paired samples among 22 convalescent healthcare workers (HCWs). A median of 1.8 months after diagnosis, T-cell response was significantly lower in HCWs with early loss of antibodies (6 cases [27%]). After 5.1 months, antibody decline was observed in 77% of cases (41% seroreverted; P < .01), and 36% had lost T-cell response (75% lost response to spike protein). Persistence of immune response was observed in those who developed a greater adaptive immune response. Our data point to the initial immune response as the relevant player in coronavirus disease 2019 duration of protection.

Progression Risk in People with HIV and COVID-19: Predictive Performance of Current Risk Scores.

People with HIV (PWH) might have a higher risk of adverse coronavirus disease 2019 (COVID-19) outcomes. Several scores were developed to predict COVID-19 progression to critical disease and are often used among PWH. We assessed the performance of two commonly used risk equations among PWH and COVID-19. Participants were identified from a multicenter cohort of 6,361 PWH on regular follow-up at 2 university hospitals. Of 99 HIV-infected individuals with confirmed SARS-CoV-2 infection, 63 had complete data and were included in this analysis. CALL and COVID-GRAM scores were calculated and participants were stratified into low-, intermediate-, and high-risk groups for each. Discrimination was assessed using receiver operating characteristic curves. Calibration was evaluated using observed versus expected (O:E) ratios and the Hosmer-Lemeshow χ2 goodness-of-fit statistic. Scores were adjusted by increasing one category level in individuals with nadir CD4 lymphocyte count <200/µL. Participants had a median nadir and current CD4 counts of 207 [interquartile range (IQR) 119-345] and 440 (IQR 280-719) cells/µL. Ten (15.9%) individuals progressed to critical disease and 4 (6.3%) died. Assessed scores showed acceptable discrimination (area under the curve 0.701-0.771) and were overall calibrated (O:E ratio 1.01). However, both overestimated the risk of progression among individuals in the low- and high-risk categories, whereas they underestimated the risk in the intermediate category (O:E 1.20-1.21). Thus, 50% of critically ill individuals were not identified as high risk. Assigning PWH with low nadir CD4 counts a higher risk of progression reduced the proportion of individuals not identified to 20%. COVID-19 risk scores had lower performance in PWH compared with that described in the general population and failed to adequately identify individuals who progressed to critical disease. Adjustment for nadir CD4 partially improved their accuracy. Risk equations incorporating HIV-related factors are needed.

SARS CoV-2 infections in healthcare workers with a pre-existing T-cell response: a prospective cohort study.

OBJECTIVE: T-cell responses against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are observed in unexposed individuals. We evaluated the impact of this pre-existing cellular response on incident SARS-CoV-2 infections. METHODS: This was a follow-up study of 38 seronegative healthcare workers (HCWs) with previous evaluation of CD8+ and CD4+ T-cell responses after stimulation with SARS-CoV-2 structural proteins. Infection was considered in the presence of a positive RT-PCR test and/or confirmed seroconversion. RESULTS: Twenty of the 38 HCWs included (53%) had a previous specific CD8+ T-cell response to peptides encompassing the spike protein (S) in 13 (34%), the membrane (M) in 17 (45%), or/and the nucleocapsid (N) in three (8%). During a follow-up of 189 days (interquartile range (IQR) 172-195), 11 HCWs (29%) had an RT-PCR-positive test (n = 9) or seroconverted (n = 2). Median duration of symptoms was 2 days (IQR 0-7), and time to negative RT-PCR was 9 days (IQR 4-10). Notably, six incident infections (55%) occurred in HCWs with a pre-existing T-cell response (30% of those with a cellular response), who showed a significantly lower duration of symptoms (three were asymptomatic). Three of the six HCWs having a previous T-cell response continued to test seronegative. All the infected patients developed a robust T-cell response to different structural SARS-CoV-2 proteins, especially to protein S (91%). CONCLUSION: A pre-existing T-cell response does not seem to reduce incident SARS-CoV-2 infections, but it may contribute to asymptomatic or mild disease, rapid viral clearance and differences in seroconversion.

Immune deficiency is a risk factor for severe COVID-19 in people living with HIV.

OBJECTIVES: A prior T cell depletion induced by HIV infection may carry deleterious consequences in the current COVID-19 pandemic. Clinical data on patients co-infected with HIV and SARS-CoV-2 are still scarce. METHODS: This multicentre cohort study evaluated risk factors for morbidity and mortality of COVID-19 in people living with HIV (PLWH), infected with SARS-CoV-2 in three countries in different clinical settings. COVID-19 was clinically classified as to be mild-to-moderate or severe. RESULTS: Of 175 patients, 49 (28%) had severe COVID-19 and 7 (4%) patients died. Almost all patients were on antiretroviral therapy (ART) and in 94%, HIV RNA was below 50 copies/mL prior to COVID-19 diagnosis. In the univariate analysis, an age 50 years or older, a CD4+ T cell nadir of < 200/µl, current CD4+ T cells < 350/µl and the presence of at least one comorbidity were significantly associated with severity of COVID-19. No significant association was found for gender, ethnicity, obesity, a detectable HIV RNA, a prior AIDS-defining illness, or tenofovir (which was mainly given as alafenamide) or protease inhibitor use in the current ART. In a multivariate analysis, the only factor associated with risk for severe COVID-19 was a current CD4+ T cell count of < 350/µl (adjusted odds ratio 2.85, 95% confidence interval 1.26-6.44, p=0.01). The only factor associated with mortality was a low CD4 T cell nadir. CONCLUSIONS: In PLWH, immune deficiency is a possible risk factor for severe COVID-19, even in the setting of virological suppression. There is no evidence for a protective effect of PIs or tenofovir alafenamide.

Description of COVID-19 in HIV-infected individuals: a single-centre, prospective cohort.

BACKGROUND: Information about incidence, clinical characteristics, and outcomes of HIV-infected individuals with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is scarce. We characterised individuals with COVID-19 among a cohort of HIV-infected adults in Madrid. METHODS: In this observational prospective study, we included all consecutive HIV-infected individuals (aged ≥18 years) who had suspected or confirmed COVID-19 as of April 30, 2020, at the Hospital Universitario Ramón y Cajal (Madrid, Spain). We compared the characteristics of HIV-infected individuals with COVID-19 with a sample of HIV-infected individuals assessed before the COVID-19 pandemic, and described the outcomes of individuals with COVID-19. FINDINGS: 51 HIV-infected individuals were diagnosed with COVID-19 (incidence 1·8%, 95% CI 1·3-2·3). Mean age of patients was 53·3 years (SD 9·5); eight (16%) were women, and 43 (84%) men. 35 (69%) cases of co-infection had laboratory confirmed COVID-19, and 28 (55%) required hospital admission. Age and CD4 cell counts in 51 patients diagnosed with COVID-19 were similar to those in 1288 HIV-infected individuals without; however, 32 (63%) with COVID-19 had at least one comorbidity (mostly hypertension and diabetes) compared with 495 (38%) without COVID-19 (p=0·00059). 37 (73%) patients had received tenofovir before COVID-19 diagnosis compared with 487 (38%) of those without COVID-19 (p=0·0036); 11 (22%) in the COVID-19 group had previous protease inhibitor use (mostly darunavir) compared with 175 (14%; p=0·578). Clinical, analytical, and radiological presentation of COVID-19 in HIV-infected individuals was similar to that described in the general population. Six (12%) individuals were critically ill, two of whom had CD4 counts of less than 200 cells per µL, and two (4%) died. SARS-CoV-2 RT-PCR remained positive after a median of 40 days from symptoms onset in six (32%) individuals, four of whom had severe disease or low nadir CD4 cell counts. INTERPRETATION: HIV-infected individuals should not be considered to be protected from SARS-CoV-2 infection or to have lower risk of severe disease. Generally, they should receive the same treatment approach applied to the general population. FUNDING: None.