Presence of SARS-CoV-2 RNA in COVID-19 survivors with post-COVID symptoms 2 years after hospitalization: The VIPER study.

The SARS-CoV-2 VIrus PERsistence (VIPER) study investigated the presence of long-lasting SARS-CoV-2 RNA in plasma, stool, urine, and nasopharyngeal samples in COVID-19 survivors. The presence of SARS-CoV-2 RNA reverse transcription polymerase chain reactions (RT-PCR) were analyzed within plasma, stool, urine, and nasopharyngeal swab samples in COVID-19 survivors with post-COVID symptoms and a comparison group of COVID-19 survivors without post-COVID symptoms matched by age, sex, body mass index and vaccination status. Participants self-reported the presence of any post-COVID symptom (defined as a symptom that started no later than 3 months after the initial infection). Fifty-seven (57.9% women, age: 51.1, standard deviation [SD]: 10.4 years) previously hospitalized COVID-19 survivors with post-COVID symptoms and 55 (56.4% women, age: 50.0, SD: 12.8 years) matched individuals who had a past SARS-CoV-2 infection without post-COVID symptoms were evaluated 27 (SD 7.5) and 26 (SD 8.7) months after hospital discharge, respectively. The presence of SARS-CoV-2 RNA was identified in three nasopharyngeal samples of patients with post-COVID symptoms (5.2%) but not in plasma, stool, or urine samples. Thus, SARS-CoV-2 RNA was not identified in any sample of survivors without post-COVID symptoms. The most prevalent post-COVID symptoms consisted of fatigue (93%), dyspnea, and pain (both, 87.7%). This study did not find SARS-CoV-2 RNA in plasma, stool, or urine samples, 2 years after the infection. A prevalence of 5.2% of SARS-CoV-2 RNA in nasopharyngeal samples, suggesting a potential active or recent reinfection, was found in patients with post-COVID symptoms. These results do not support the association between SARS-CoV-2 RNA in plasma, stool, urine, or nasopharyngeal swab samples and post-COVID symptomatology in the recruited population.

Is antiviral treatment at the acute phase of COVID-19 effective for decreasing the risk of long-COVID? A systematic review.

PURPOSE: Preliminary evidence suggests a potential effect of antiviral medication used during the acute COVID-19 phase for preventing long-COVID. This review investigates if having received pharmacological treatment during acute SARS-CoV-2 infection may reduce the risk of long-COVID. METHODS: MEDLINE, CINAHL, PubMed, EMBASE, Web of Science databases, as well as medRxiv/bioRxiv preprint servers were searched up to July 15th, 2023. Articles comparing the presence of long-COVID symptoms between individuals who received or not a specific medication, particularly antivirals, during the acute phase of SARS-CoV-2 infection were included. Methodological quality was assessed using the Newcastle-Ottawa Scale or Cochrane's Risk of Bias (Rob) tool. RESULTS: From 517 studies identified, 6 peer-reviewed studies and one preprint met all inclusion criteria. The sample included 2683 (n = 4) hospitalized COVID-19 survivors and 307,409 (n = 3) non-hospitalized patients. The methodological quality was high in 71% of studies (n = 5/7). Two studies investigating the effects of Nirmaltrevir/Ritonavir and three studies the effect of Remdesivir reported conflicting results on effectiveness for preventing long-COVID. Three studies investigating the effects of other medication such as Dexamethasone (n = 2) or Metformin (n = 1) found positive results of these medications for preventing long-COVID. CONCLUSION: Available evidence about the effect of medication treatment with antivirals during acute COVID-19 and reduced risk of developing long-COVID is conflicting. Heterogeneous evidence suggests that Remdesivir or Nirmaltrevir/Ritonavir could have a potential protective effect for long-COVID. A limited number of studies demonstrated a potential benefit of other medications such as Dexamethasone or Metformin, but more studies are needed.

Presence of SARS-CoV-2 RNA in COVID-19 survivors with post-COVID symptoms: a systematic review of the literature.

INTRODUCTION: Viral persistence is one of the main hypotheses explaining the presence of post-COVID symptoms. This systematic review investigated the presence of SARS-CoV-2 RNA in plasma, stool, urine, and nasal/oral swab samples in individuals with post-COVID symptomatology. CONTENT: MEDLINE, CINAHL, PubMed, EMBASE, Web of Science databases, as well as medRxiv/bioRxiv preprint servers were searched up to November 25th, 2023. Articles investigating the persistence of SARS-CoV-2 RNA in plasma, stool, urine or nasal/oral swab samples in patients with post-COVID symptoms were included. Methodological quality was assessed using the Newcastle-Ottawa Scale or Cochrane's Risk of Bias (Rob) tool. SUMMARY: From 322 studies identified, six studies met all inclusion criteria. The sample included 678 COVID-19 survivors (52 % female, aged from 29 to 66 years). The methodological quality was moderate in 88 % of the studies (n=5/6). Three papers investigated the presence of SARS-CoV-2 RNA in plasma, three studies in nasal/oral swabs, two studies in stool samples, one in urine and one in saliva. The follow-up was shorter than two months (<60 days after) in 66 % of the studies (n=4/6). The prevalence of SARS-CoV-2 RNA ranged from 5 to 59 % in patients with post-COVID symptoms the first two months after infection, depending on the sample tested, however, SARS-CoV-2 RNA was also identified in COVID-19 survivors without post-COVID symptoms (one study). OUTLOOK: Available evidence can suggest the presence of persistent SARS-CoV-2 RNA in post-COVID patients in the short term, although the biases within the studies do not permit us to make firm assumptions. The association between post-COVID symptoms and SARS-CoV-2 RNA in the samples tested is also conflicting. The lack of comparative group without post-COVID symptoms limits the generalizability of viral persistence in post-COVID-19 condition.

External validation of the CHEDDAR score for suspected pulmonary embolism in patients with SARS-CoV-2 infection in an independent cohort.

The accuracy of the classic scores that help stratify the pretest clinical probability of pulmonary embolism (PE) in SARS-CoV-2 infection (COVID-19) is low. Therefore, to estimate the risk of PE in these patients, a new set of guidelines must be established. The recently published CHEDDAR score proposes a new diagnostic strategy to reduce the use of computed tomography pulmonary angiography (CTPA) in non-critically ill SARS-COV-2 patients with suspected PE. According to the nomogram, patients are segregated into low-risk (< 182 points) or high-risk (≥ 182 points) based on the best cut-off value to discard PE in the original cohort. We aimed to externally validate this diagnostic strategy in an independent cohort. We analyzed data from two retrospective cohorts of hospitalized non-critically ill COVID-19 patients who underwent a CTPA due to suspicion for PE. CHEDDAR score was applied. As per the CHEDDAR nomogram, patients were classified as having a low or high clinical pre-test probability. Of the 270 patients included, 69 (25.5%) had PE. Applying the CHEDDAR score, 182 (67.4%) patients could have had PE excluded without imaging. Among 58 patients classified as having high clinical pre-test probability, 39 (67.2%) had PE. Sensitivity, specificity, positive and negative predictive values, and AUC were 56%, 90%, 67%, 85%, and 0.783 (95% CI 0.71-0.85), respectively. We provide external validation of the CHEDDAR score in an independent cohort. Even though the CHEDDAR score showed good discrimination capacity, caution is required in patients classified as having low clinical pre-test probability with a D-dimer value > 3000 ng/mL, and a RALE score ≥ 4.

Clustering analysis reveals different profiles associating long-term post-COVID symptoms, COVID-19 symptoms at hospital admission and previous medical co-morbidities in previously hospitalized COVID-19 survivors.

PURPOSE: To identify subgroups of COVID-19 survivors exhibiting long-term post-COVID symptoms according to clinical/hospitalization data by using cluster analysis in order to foresee the illness progress and facilitate subsequent prognosis. METHODS: Age, gender, height, weight, pre-existing medical comorbidities, Internal Care Unit (ICU) admission, days at hospital, and presence of COVID-19 symptoms at hospital admission were collected from hospital records in a sample of patients recovered from COVID-19 at five hospitals in Madrid (Spain). A predefined list of post-COVID symptoms was systematically assessed a mean of 8.4 months (SD 15.5) after hospital discharge. Anxiety/depressive levels and sleep quality were assessed with the Hospital Anxiety and Depression Scale and Pittsburgh Sleep Quality Index, respectively. Cluster analysis was used to identify groupings of COVID-19 patients without introducing any previous assumptions, yielding three different clusters associating post-COVID symptoms with acute COVID-19 symptoms at hospital admission. RESULTS: Cluster 2 grouped subjects with lower prevalence of medical co-morbidities, lower number of COVID-19 symptoms at hospital admission, lower number of post-COVID symptoms, and almost no limitations with daily living activities when compared to the others. In contrast, individuals in cluster 0 and 1 exhibited higher number of pre-existing medical co-morbidities, higher number of COVID-19 symptoms at hospital admission, higher number of long-term post-COVID symptoms (particularly fatigue, dyspnea and pain), more limitations on daily living activities, higher anxiety and depressive levels, and worse sleep quality than those in cluster 2. CONCLUSIONS: The identified subgrouping may reflect different mechanisms which should be considered in therapeutic interventions.

Could We Consider Ultrasound-Guided Minimally Invasive Autopsy as a Part of POCUS?

We present a 3-patient case series that support the use of ultrasound guided minimally invasive autopsy (MIA). This technique has a high diagnostic accuracy in specific clinical settings. It makes easier to diagnose pathologies once the patient has died, avoiding body deformation, with a notable reduction in sample processing time compared to the open autopsy study and, therefore, a shorter overall diagnostic response time. MIA shows some similarities with point of care ultrasound (POCUS), like examination protocols or that they can be performed at the bedside.

Differences in the hepatitis C virus cascade of care and time to initiation of therapy among vulnerable subpopulations using a mobile unit as point-of-care.

BACKGROUND AND AIMS: People who inject drugs (PWID) and other marginalized populations with high hepatitis C virus (HCV) infection rates represent a unique challenge for treatment initiation due to health, administrative and social barriers. We analysed the HCV cascade of care (CoC) in some vulnerable subpopulations in Madrid, Spain, when using a mobile point-of-care (PoC). METHODS: From 2019 to 2021, a mobile unit was used to screen active HCV using a linkage-to-care and two-step PoC-based strategy. Viremic participants were grouped into four subgroups: PWID, homeless individuals and people with a mental health disorder (MHD) and alcohol use disorder (AUD). Logistic regression, and Cox and Aalen's additive models were used to analyse associated factors and differences between groups. RESULTS: A prospectively recruited cohort of 214 HCV-infected individuals (73 PWID, 141 homeless, 57 with a MHD and 91 with AUD) participated in the study. The overall HCV CoC analysis found that 178 (83.1%) attended a hospital, 164 (76.6%) initiated direct-acting antiviral therapy and 141 (65.8%) completed therapy, of which 99 (95.2%) achieved sustained virological response (SVR). PWID were significantly less likely to initiate treatment, whereas individuals with AUD waited longer before starting the treatment. Both people with AUD and PWID were significantly less likely to complete HCV treatment. CONCLUSIONS: Overall, SVR was achieved in the majority of the participants treated. However, PWID need better linkage to care and treatment, whereas PWID and AUD need more support for treatment completion.

Headache as a COVID-19 onset symptom and post-COVID-19 symptom in hospitalized COVID-19 survivors infected with the Wuhan, Alpha, or Delta SARS-CoV-2 variants.

OBJECTIVE: This study looked at differences in the presence of headache as an onset symptom of coronavirus disease 2019 (COVID-19) and as a post-COVID-19 symptom in individuals previously hospitalized owing to infection with the Wuhan, Alpha, or Delta variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). BACKGROUND: Headache can be present in up to 50% of individuals during the acute phase of SARS-CoV-2 infection and in 10% of subjects during the post-COVID-19 phase. There are no data on differences in the occurrence of headache in the acute- and post-COVID-19 phase according to the SARS-CoV-2 variants. METHODS: A cross-sectional cohort study was conducted. Unvaccinated subjects previously hospitalized for COVID-19 caused by the Wuhan (n = 201), Alpha (n = 211), or Delta (n = 202) SARS-CoV-2 variants were scheduled for a telephone interview 6 months after hospital discharge. Hospitalization data were collected from hospital medical records. RESULTS: The presence of headache as a COVID-19 onset symptom at hospitalization was higher in subjects with the Delta variant (66/202, 32.7%) than in those infected with the Wuhan (42/201, 20.9%; odds ratio [OR] 1.83, 95% confidence interval [CI] 1.17-2.88) or Alpha (25/211, 11.8%; OR 3.61, 95% CI, 2.16-6.01) variants. The prevalence of post-COVID-19 headache 6 months after hospital discharge was higher in individuals infected with the Delta variant (26/202, 12.9%) than in those infected with the Wuhan (11/201, 5.5%; OR 2.52, 95% CI 1.22-5.31) or Alpha (eight of 211, 3.8%; OR 3.74, 95% CI 1.65-8.49) variants. The presence of headache as a COVID-19 onset symptom was associated with post-COVID-19 headache in subjects infected with the Wuhan (OR 7.75, 95% CI 2.15-27.93) and Delta variants (OR 2.78, 95% CI 1.20-6.42) but not with the Alpha variant (OR 2.60, 95% CI 0.49-13.69). CONCLUSION: Headache was a common symptom in both the acute- and post-COVID-19 phase in subjects infected with the Wuhan, Alpha, and Delta variants but mostly in those infected with the Delta variant.

Serological Biomarkers at Hospital Admission Are Not Related to Long-Term Post-COVID Fatigue and Dyspnea in COVID-19 Survivors.

OBJECTIVE: The aim of this study was to investigate the association between serological biomarkers at the acute phase of infection at hospital admission with the development of long-term post-COVID fatigue and dyspnea. METHODS: A cohort study including patients hospitalized due to COVID-19 in one urban hospital of Madrid (Spain) during the first wave of the outbreak (from March 20 to June 30, 2020) was conducted. Hospitalization data, clinical data, and eleven serological biomarkers were systematically collected at hospital admission. Patients were scheduled for an individual telephone interview after hospital discharge for collecting data about the presence of post-COVID fatigue and dyspnea. RESULTS: A total of 412 patients (age: 62 years, standard deviation: 15 years; 47.5% women) were assessed with a mean of 6.8 and 13.2 months after discharge. The prevalence of post-COVID fatigue and dyspnea was 72.8% and 17.2% at 6 months and 45.4% and 13.6% at 12 months after hospital discharge, respectively. Patients exhibiting post-COVID fatigue at 6 or 12 months exhibited a lower hemoglobin level, higher lymphocyte count, and lower neutrophil and platelets counts (all, p < 0.05), whereas those exhibiting post-COVID dyspnea at 6 or 12 months had a lower platelet count and lower alanine transaminase, aspartate transaminase, and lactate dehydrogenase (LDH) levels (all, p < 0.05) than those not developing post-COVID fatigue or dyspnea, respectively. The multivariate regression analyses revealed that a lower platelet count and lower LDH levels were associated but just explaining 4.5% of the variance, of suffering from post-COVID fatigue and dyspnea, respectively. CONCLUSION: Some serological biomarkers were slightly different in patients exhibiting post-COVID fatigue or dyspnea, but they could not explain the long-COVID problems in those patients.

Fatigue and Dyspnoea as Main Persistent Post-COVID-19 Symptoms in Previously Hospitalized Patients: Related Functional Limitations and Disability.

BACKGROUND: Multicentre studies focussing on specific long-term post-COVID-19 symptoms are scarce. OBJECTIVE: The aim of this study was to determine the levels of fatigue and dyspnoea, repercussions on daily life activities, and risk factors associated with fatigue or dyspnoea in COVID-19 survivors at long term after hospital discharge. METHODS: Age, gender, height, weight, symptoms at hospitalization, pre-existing medical comorbidity, intensive care unit admission, and the presence of cardio-respiratory symptoms developed after severe acute respiratory syndrome coronavirus 2 infection were collected from patients who recovered from COVID-19 at 4 hospitals in Madrid (Spain) from March 1 to May 31, 2020 (first COVID-19 wave). The Functional Impairment Checklist was used for evaluating fatigue/dyspnoea levels and functional limitations. RESULTS: A total of 1,142 patients (48% women, age: 61, standard deviation [SD]: 17 years) were assessed 7.0 months (SD 0.6) after hospitalization. Fatigue was present in 61% patients, dyspnoea with activity in 55%, and dyspnoea at rest in 23.5%. Only 355 (31.1%) patients did not exhibit fatigue and/or dyspnoea 7 months after hospitalization. Forty-five per cent reported functional limitations with daily living activities. Risk factors associated with fatigue and dyspnoea included female gender, number of pre-existing comorbidities, and number of symptoms at hospitalization. The number of days at hospital was a risk factor just for dyspnoea. CONCLUSIONS: Fatigue and/or dyspnoea were present in 70% of hospitalized COVID-19 survivors 7 months after discharge. In addition, 45% patients exhibited limitations on daily living activities. Being female, higher number of pre-existing medical comorbidities and number of symptoms at hospitalization were risk factors associated to fatigue/dyspnoea in COVID-19 survivors 7 months after hospitalization.

Prevalence of Post-COVID-19 Cough One Year After SARS-CoV-2 Infection: A Multicenter Study.

This multicenter study presents prevalence data and associated risk factors of post-COVID-19 cough one year after hospital discharge in COVID-19 survivors. Individuals recovered from COVID-19 at three public hospitals in Madrid (Spain) were scheduled for a telephonic interview. They were systematically asked about the presence of respiratory symptoms, e.g., fatigue, dyspnea, chest pain, and cough after hospital discharge. Clinical and hospitalization data were collected from hospital records. Overall, 1,950 patients (47% women, mean age:61, SD:16 years) were assessed at 11.2 months (SD 0.5) after hospital discharge. Just 367 (18.8%) were completely free of any respiratory post-COVID -19 symptom. The prevalence of long-term cough, chest pain, dyspnea, and fatigue was 2.5%, 6.5%, 23.3%, and 61.2%, respectively. Clinical and hospitalization factors were not associated with long-term post-COVID-19 cough. In conclusion, the prevalence of post-COVID-19 cough one year after SARS-CoV-2 infection was 2.5% in subjects who had survived hospitalization for COVID-19. No clear risk factor associated to long-term post-COVID-19 cough was identified.

Obesity is associated with a greater number of long-term post-COVID symptoms and poor sleep quality: A multicentre case-control study.

BACKGROUND: Obesity is a risk factor associated with higher mortality at the acute phase of COVID-19; however, its influence on post-COVID symptoms is not known. OBJECTIVE: Our aim was to investigate if obesity is a risk factor for the presence of long-term post-COVID symptoms in hospitalised COVID-19 survivors. METHODS: A multicentre case-control study including patients hospitalised during the first wave of the pandemic was performed. Patients with obesity were recruited as cases. Two age- and sex-matched patients without obesity per case were considered as controls. Clinical and hospitalisation data were collected from the hospital medical records. Patients were scheduled for a telephonic interview. A list of post-COVID symptoms was systematically evaluated, but participants were free to report any symptom. Anxiety/depressive levels and sleep quality were evaluated with the hospital anxiety and depression scale (HADS) and Pittsburgh sleep quality index (PSQI), respectively. RESULTS: Overall, 88 patients with obesity and 176 without obesity were assessed 7.2 months after the hospital discharge. The most prevalent post-COVID symptoms were fatigue and dyspnea. No significant difference in the prevalence of fatigue, dyspnea, anxiety, depression and limitations of daily living activities was observed between people with and without obesity. Obesity was independently associated with a greater number of post-COVID symptoms (IRR 1.56, 95% CI 1.24-1.95, P < .001) and poor sleep quality (OR 2.10, 95% CI 1.13-3.83, P = .02). CONCLUSIONS: This study found that obesity was associated with a greater number of long-term post-COVID symptoms and poor sleep quality in hospitalised COVID-19 patients.

Incidence of Deep Venous Thrombosis in Patients With COVID-19 and Pulmonary Embolism: Compression Ultrasound COVID Study.

OBJECTIVES: Several reports had observed a high risk of pulmonary embolism (PE) in patients with coronavirus disease 2019 (COVID-19), most of them in the intensive care unit. Reported findings indicate that a direct viral-mediated hyperinflammatory response leads to local thromboinflammation. According to those findings, the incidence of deep venous thrombosis (DVT) in patients with COVID-19 and PE should be low. The objective of this study was to evaluate the incidence of DVT in patients with COVID-19 who developed PE. METHODS: In this prospective observational study, consecutive patients hospitalized in the internal medicine ward with a diagnosis of COVID-19 who developed PE were screened for DVT in the lower extremities with complete compression ultrasound. RESULTS: The study comprised 26 patients. Fifteen patients (57.7%) were male. The median age was 60 years (interquartile range, 54-73 years). Compression ultrasound findings were positive for DVT in 2 patients (7.7%; 95% confidence interval, 3.6%-11.7%). Patients with DVT had central and bilateral PE. In both, venous thromboembolism was diagnosed in the emergency department, so they did not receive previous prophylactic therapy with low-molecular-weight heparin. Patients without DVT had higher median d-dimer levels: 25,688 µg/dL (interquartile range, 80,000-1210 µg/dL) versus 5310 µg/dL (P < .05). CONCLUSIONS: Our study showed a low incidence of DVT in a cohort of patients with COVID-19 and PE. This observation suggests that PE in these patients could be produced mainly by a local thromboinflammatory syndrome induced by severe acute respiratory syndrome coronavirus 2 infection and not by a thromboembolic event.

Is Antiviral Treatment with Remdesivir at the Acute Phase of SARS-CoV-2 Infection Effective for Decreasing the Risk of Long-Lasting Post-COVID Symptoms?

The aim of this study was to investigate the effects of administrating Remdesivir at the acute COVID-19 phase on developing post-COVID symptoms in previously hospitalized COVID-19 survivors by controlling factors such as age, sex, body mass index, and vaccination status. A case-control study was performed. Hospitalized COVID-19 survivors who had received intravenous Remdesivir during the acute phase (n = 216) were matched by age, sex, body mass index, and vaccination status with survivors who did not receive antiviral treatment (n = 216). Participants were asked to self-report the presence of any post-COVID symptom (defined as a symptom that started no later than three months after infection) and whether the symptom persisted at the time of study (mean: 18.4, SD: 0.8 months). Anxiety levels (HADS-A), depressive symptoms (HADS-D), sleep quality (PSQI), and severity/disability (FIC) were also compared. The multivariate analysis revealed that administration of Remdesivir at the acute COVID-19 phase was a protective factor for long-term COVID development (OR0.401, 95%CI 0.256-0.628) and specifically for the following post-COVID symptoms: fatigue (OR0.399, 95%CI 0.270-0.590), pain (OR0.368, 95% CI 0.248-0.548), dyspnea at rest (OR0.580, 95%CI 0.361-0.933), concentration loss (OR0.368, 95%CI 0.151-0.901), memory loss (OR0.399, 95%CI 0.270-0.590), hair loss (OR0.103, 95%CI 0.052-0.207), and skin rashes (OR0.037, 95%CI 0.005-0.278). This study supports the potential protective role of intravenous administration of Remdesivir during the COVID-19 acute phase for long-lasting post-COVID symptoms in previously hospitalized COVID-19 survivors.

Inflammatory Polymorphisms (IL-6 rs1800796, IL-10 rs1800896, TNF-α rs1800629, and IFITM3 rs12252) Are Not Associated with Post-COVID Symptoms in Previously Hospitalized COVID-19 Survivors.

The aim of this study was to identify the association between four selected inflammatory polymorphisms with the development of long-term post-COVID symptoms in subjects who had been hospitalized due to SARS-CoV-2 infection during the first wave of the pandemic. These polymorphisms were selected as they are associated with severe COVID-19 disease and cytokine storm, so they could be important to prognoses post-COVID. A total of 408 (48.5% female, age: 58.5 ± 14.0 years) previously hospitalized COVID-19 survivors participated. The three potential genotypes of the following four single-nucleotide polymorphisms, IL-6 rs1800796, IL-10 rs1800896, TNF-α rs1800629, and IFITM3 rs12252, were obtained from non-stimulated saliva samples of the participants. The participants were asked to self-report the presence of any post-COVID symptoms (defined as symptoms that had started no later than one month after SARS-CoV-2 acute infection) and whether the symptoms persisted at the time of the study. At the time of the study (mean: 15.6, SD: 5.6 months after discharge), 89.4% of patients reported at least one post-COVID symptom (mean number of symptoms: 3.0; SD: 1.7). Fatigue (69.3%), pain (40.9%), and memory loss (27.2%) were the most prevalent post-COVID symptoms in the total sample. Overall, no differences in the post-COVID symptoms depending on the IL-6 rs1800796, IL-10 rs1800896, TNF-α rs1800629, and IFITM3 rs12252 genotypes were seen. The four SNPs assessed, albeit having been previously associated with inflammation and COVID-19 severity, did not cause a predisposition to the development of post-COVID symptoms in the previously hospitalized COVID-19 survivors.

Immune response against the SARS-CoV-2 spike protein in cancer patients after COVID-19 vaccination during the Omicron wave: a prospective study.

BACKGROUND: Cancer patients often have weakened immune systems, resulting in a lower response to vaccines, especially those receiving immunosuppressive oncological treatment (OT). We aimed to assess the impact of OT on the humoral and T-cell response to the B.1 lineage and Omicron variant following COVID-19 vaccination in patients with solid and hematological neoplasms. METHODS: We conducted a prospective study on cancer patients, stratified into OT and non-OT groups, who received a two-dose series of the COVID-19 mRNA vaccine and a booster six months later. The outcomes measured were the humoral (anti-SARS-CoV-2 S IgG titers and ACE2-S interaction inhibition capacity) and cellular (SARS-CoV-2 S-specific T-cell spots per million PBMCs) responses against the B.1 lineage and Omicron variant. These responses were evaluated four weeks after the second dose (n = 98) and eight weeks after the booster dose (n = 71). RESULTS: The humoral response after the second vaccine dose against the B.1 lineage and Omicron variant was significantly weaker in the OT group compared to the non-OT group (q-value<0.05). A booster dose of the mRNA-1273 vaccine significantly improved the humoral response in the OT group, making it comparable to the non-OT group. The mRNA-1273 vaccine, designed for the original Wuhan strain, elicited a weaker humoral response against the Omicron variant compared to the B.1 lineage, regardless of oncological treatment or vaccine dose. In contrast, T-cell responses against SARS-CoV-2, including the Omicron variant, were already present after the second vaccine dose and were not significantly affected by oncological treatments. CONCLUSIONS: Cancer patients, particularly those receiving immunosuppressive oncological treatments, should require booster doses and adapted COVID-19 vaccines for new SARS-CoV-2 variants like Omicron. Future studies should evaluate the durability of the immune response and the efficacy of individualized regimens.