Clinical characteristics and outcomes of people living with HIV and ocular syphilis during the COVID-19 health emergency.

BACKGROUND: The global shift in healthcare during the COVID-19 pandemic led to challenges in the care of people living with HIV. METHODS: We conducted a retrospective study that aimed to delineate sociodemographic, clinical characteristics and outcomes, of people living with HIV diagnosed with ocular syphilis. RESULTS: Fifty-three people living with HIV were identified with ocular syphilis. Thirty-eight (71.6%) presented ocular symptoms. Twenty-three (43.3%) underwent lumbar puncture, 5 (9.4%) were positive for neurosyphilis. Forty-seven (88.6%) received treatment, 32 (68%) received standard treatment with aqueous crystalline penicillin G, and 15 (31.9%) were treated with alternative regimens due to the impossibility of hospitalization. Six (11.3%) individuals were lost to follow-up and/or did not receive treatment. Eighteen (56.2%) out of 32 individuals in the aqueous crystalline penicillin G group experienced serological response, 5 (15.6%) experienced treatment failure, and 9 (28.1%) were lost to follow-up. In the alternative therapy group, 12 out of 15 individuals (80%) experienced serological response. One (6.7%) experienced treatment failure, and 2 (13.3%) were lost to follow-up. CONCLUSIONS: During the COVID-19 health emergency in Mexico, alternative treatments for ocular syphilis demonstrated favorable clinical outcomes amid challenges in accessing hospitalization.

Cognitive impairment in long-COVID.

Background and purpose:

Long Covid is a complex con­dition characterised by symptoms that per­sist for weeks and months after the Co­vid infection, accompanied by cognitive im­pairment that negatively affects daily life. Understanding this complex condition is im­portant for the development of diagnostic and therapeutic strategies.

This article aims to provide a comprehensive overview of cognitive impairment in long-COVID, including its definition, symptoms, pathophysiology, risk factors, assessment tools, imaging abnormalities, potential biomarkers, management strategies, long-term outcomes, and future directions for research.

The search methodology used in this review aimed to include a wide range of research on cognitive impairment related to both COVID-19 and long-COVID. Systematic searches of PubMed and Google Scholar databases were conducted using a mixture of MeSH terms and keywords including ‘cognition’, ‘cognitive impairment’, ‘brain fog’, ‘COVID-19’ and ‘long-COVID’. The search was restricted to studies published in English between 1 January 2019 and 11 February 2024, which presented findings on neurological manifestations in human participants.

Long-COVID is characterized by persistent symptoms following COVID-19 infection, with cognitive impairment being a prominent feature. Symptoms include brain fog, difficulties with concentration, memory issues, and executive function deficits. Pa­tho­physiological mechanisms involve vi­ral persistence, immune responses, and vas­cular damage. Risk factors include age, pre-existing conditions, and disease seve­rity. Cognitive assessment tools such as the Montreal Cognitive Assessment (MoCA) are essential for diagnosis. Imaging studies, including MRI, PET, and SPECT, reveal structural and functional brain alterations. Potential biomarkers include C-reactive protein, interleukin-6, and neuron-specific enolase. Management strategies encompass cognitive rehabilitation, occupational therapy, medications, and lifestyle modifications.

Long-COVID poses a multifaceted challenge, and cognitive impairment significantly impacts patients’ lives. A multi­disciplinary approach, including cognitive rehabilitation and medication when appropriate, is essential for effective management. Future research should focus on validating biomarkers and understanding long-term cognitive outcomes.

Conclusion – Long-COVID is a global health concern, and cognitive impairment is a distressing symptom. While pharmacological interventions have potential, they require careful consideration. Continued research is crucial for improving the understanding and treatment of cognitive impairment in long-COVID.

Development and validation of a prognostic model for assessing long COVID risk following Omicron wave-a large population-based cohort study.

BACKGROUND: Long coronavirus disease (COVID) after COVID-19 infection is continuously threatening the health of people all over the world. Early prediction of the risk of Long COVID in hospitalized patients will help clinical management of COVID-19, but there is still no reliable and effective prediction model. METHODS: A total of 1905 hospitalized patients with COVID-19 infection were included in this study, and their Long COVID status was followed up 4-8 weeks after discharge. Univariable and multivariable logistic regression analysis were used to determine the risk factors for Long COVID. Patients were randomly divided into a training cohort (70%) and a validation cohort (30%), and factors for constructing the model were screened using Lasso regression in the training cohort. Visualize the Long COVID risk prediction model using nomogram. Evaluate the performance of the model in the training and validation cohort using the area under the curve (AUC), calibration curve, and decision curve analysis (DCA). RESULTS: A total of 657 patients (34.5%) reported that they had symptoms of long COVID. The most common symptoms were fatigue or muscle weakness (16.8%), followed by sleep difficulties (11.1%) and cough (9.5%). The risk prediction nomogram of age, diabetes, chronic kidney disease, vaccination status, procalcitonin, leukocytes, lymphocytes, interleukin-6 and D-dimer were included for early identification of high-risk patients with Long COVID. AUCs of the model in the training cohort and validation cohort are 0.762 and 0.713, respectively, demonstrating relatively high discrimination of the model. The calibration curve further substantiated the proximity of the nomogram's predicted outcomes to the ideal curve, the consistency between the predicted outcomes and the actual outcomes, and the potential benefits for all patients as indicated by DCA. This observation was further validated in the validation cohort. CONCLUSIONS: We established a nomogram model to predict the long COVID risk of hospitalized patients with COVID-19, and proved its relatively good predictive performance. This model is helpful for the clinical management of long COVID.

Research on the global trends of COVID-19 associated acute kidney injury: a bibliometric analysis.

Critically ill COVID-19 patients may exhibit various clinical symptoms of renal dysfunction including severe Acute Kidney Injury (AKI). Currently, there is a lack of bibliometric analyses on COVID-19-related AKI. The aim of this study is to provide an overview of the current research status and hot topics regarding COVID-19 AKI. The literature was retrieved from the Web of Science Core Collection (WoSCC) database. Subsequently, we utilized Microsoft Excel, VOSviewer, Citespace, and Pajek software to revealed the current research status, emerging topics, and developmental trends pertaining to COVID-19 AKI. This study encompassed a total of 1507 studies on COVID-19 AKI. The United States, China, and Italy emerged as the leading three countries in terms of publication numbers, contributing 498 (33.05%), 229 (15.20%), and 140 (9.29%) studies, respectively. The three most active and influential institutions include Huazhong University of Science and Technology, Wuhan University and Harvard Medical School. Ronco C from Italy, holds the record for the highest number of publications, with a total of 15 papers authored. Cheng YC's work from China has garnered the highest number of citations, totaling 470 citations. The co-occurrence analysis of author keywords reveals that 'mortality', 'intensive care units', 'chronic kidney disease', 'nephrology', 'renal transplantation', 'acute respiratory distress syndrome', and 'risk factors' emerge as the primary areas of focus within the realm of COVID-19 AKI. In summary, this study analyzes the research trends in the field of COVID-19 AKI, providing a reference for further exploration and research on COVID-19 AKI mechanisms and treatment.

Proton pump inhibitors and gastrointestinal symptoms among patients with COVID-19 infection.

INTRODUCTION: The administration of proton pump inhibitors (PPIs) is anticipated to elevate an individual's susceptibility to enteric infections as a result of altering the gut flora. The influence of PPIs on the clinical manifestation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is still uncertain. This study aims to investigate the impact of PPI usage on the clinical manifestation of COVID-19, namely its gastrointestinal symptoms. METHODS: This is a cross-sectional cohort study involving COVID-19 patients. Patients were interviewed using a predesigned questionnaire that asked about their demographics, clinical manifestations of COVID-19 infection, and the extent and type of PPIs in use. PPI usage was confirmed by reviewing patients' electronic medical records. The primary outcome was to establish any association between the use of PPI and the symptoms and clinical presentation of COVID-19. RESULTS: Out of a total of 254 participants, 69 (27.2%) were considered PPI users. Patients who were on PPI medications reported a significantly lower rate of myalgia (27.5% vs 51.9%; p = 0.0006) and heartburn (5.7% vs 15.6%; p = 0.03) but had a significantly higher rate of abdominal pain (27.5% vs 13.5%; p = 0.001) and diarrhoea (28.9% vs 14.5%, p = 0.02) when compared to those who were not using PPIs. Patients on PPIs were also shown to have significantly higher odds of developing diarrhoea (OR 2.0, 95% CI: 1.08 to 3.93, p = 0.02) and abdominal pain (OR 2.0, 95% CI: 1.22 to 3.93, p = 0.03), but a lower risk of developing myalgia (OR 0.5, 95% CI: 0.3 to 0.9, p = 0.02) when compared to non-PPI users. CONCLUSION: This study shows that the use of PPIs could impact COVID-19 clinical presentation toward more gastrointestinal manifestations. Further studies investigating the link between other acid suppression medications and COVID-19 manifestations and severity should be carried out.

Thyroid storm after coronavirus disease 2019 mRNA vaccination in a patient with a history of Graves' disease after coronavirus disease 2019 infection.

We report a case where the patient may have developed Graves' disease after COVID-19 infection, and where the COVID-19 vaccination may have exacerbated the condition, inducing the onset of a thyroid storm. Although any association between the vaccine and the onset of thyroid disease is impossible to demonstrate through a single case, the antecedent COVID-19 infection and COVID-19 messenger ribonucleic acid vaccination may have synergistically contributed to the development of Graves' disease followed by thyroid storm.

Parsonage-Turner syndrome, affecting suprascapular nerve and especially to infraspinatus muscles after COVID-19 vaccination in a professional wrestler, a case report and literature review of causes and treatments.

BACKGROUND: Acute peripheral neuropathy, also known as Parsonage-Turner syndrome or neuralgic amyotrophy, mostly affects the upper brachial plexus trunks, which include the shoulder girdle. It is typically accompanied by abrupt, intense pain, weakness, and sensory disruption. The etiology and causes of this disease are still unknown because of its low prevalence, however viral reactions-induced inflammation is one of its frequent causes. CASE PRESENTATION: Here, we introduce a professional wrestler patient who was diagnosed with PTS after vaccination and was treated, and we review some articles in this field. CONCLUSION: When it comes to shoulder-girdle complaints and pain, Parsonage-Turner syndrome can be a differential diagnosis. Corticosteroids during the acute period, followed by physical therapy, appear to be an efficient way to manage pain, inflammation, muscular atrophy, and the process of recovering to full nerve regeneration.

Evaluation of the Effect of Favipiravir on QT Intervals in COVID-19 Patients with and without Diabetes Mellitus.

OBJECTIVE: To evaluate the effect of favipiravir administered to diabetic and non-diabetic COVID-19 patients on the QT/QTc interval. STUDY DESIGN: Analytical study. Place and Duration of the Study: Republic of Turkey, Ministry of Health, State Hospital, Corlu, Tekirdag, Turkiye, from March to September 2021. METHODOLOGY: Electrocardiogram (ECG) analysis was performed on all participants (n=180) divided into four groups. Group 1 included only healthy volunteers. Group 2 included only cases diagnosed with T2DM. Group 3 included only severe acute respiratory syndrome coronavirus-2 (SARS-Cov-2) cases. Group 4 included cases diagnosed with both SARS and T2DM. Favipiravir was administered only to the cases in Group 3 and Group 4. In the cases that were administered favipiravir, the QT/QTc interval was calculated and recorded at different time intervals on the first and fifth days of the therapy. The difference between groups was determined by Tukeye's test after ANOVA. Pearson's correlation test was used to determine whether there was a linear relationship between two numericals. The alpha significance value was determined to be <0.05 in all statistical analyses. RESULTS: When all groups were compared, it was seen that both QT and QTc values ​​increased in Groups 3 and 4, which were administered favipiravir (p <0.05). Favipiravir may cause an increased risk of ventricular and atrial arrhythmias. CONCLUSION: Favipiravir may cause QT interval prolongation, particularly in SARS-Cov-2 patients diagnosed with T2DM. KEY WORDS: COVID-19, Drug-induced long QT syndrome, Intra-infarct haemorrhage; Favipiravir, Type 2 diabetes mellitus.

Multisystem Inflammatory Syndrome in Neonates Associated with COVID-19 in Neonatal ICU of a Tertiary Care Hospital.

OBJECTIVE: Neonatal multisystem inflammatory syndrome (MIS-N) is a unique disease of neonates described in several case reports from all over the world with a myriad of presentations and the emergence of new cases. STUDY DESIGN: Retrospective case series. Place and Duration of the Study: Department of Paediatrics, Fazaia Medical College, Pakistan Air Force Hospital, Islamabad, Pakistan, from December 2021 to November 2022. METHODOLOGY: The study was conducted on neonates who were managed as MIS-N in the neonatal ICU. Data were collected and analysed on SPSS version 24. RESULTS: Patients in this study ranged from newborns to 13 days of age with a mean age of 3.27 ± 4.29 days and average gestational age of 35.18 ± 3.67 weeks. Among these neonates, 7 (63.6%) had bleeding diathesis, 11 (100%) had seizures, 8 (72.2%) presented with haemodynamic instability and shock, and 7 (63.3%) had signs of heart failure. All neonates (100%) had markedly raised SARS-CoV2 IgG antibodies, CRP, ferritin, D-dimers, interleukin 6, procalcitonin, 10 (90.9%) had hypoalbuminemia, and 7 (63.3%) had deranged coagulation profile. Cardiac involvement was seen in all neonates (100%) with raised proBNP and myocardial dysfunction on echocardiography. Pulmonary hypertension was present in 6 (54.4%) neonates. High mortality was observed at 6 (54.5%) among which 4 (66.6%) were premature neonates. CONCLUSION: MIS-N is a new disease entity which is still under research. There is a high propensity for cardiovascular system involvement and higher mortality among preterm neonates. KEY WORDS: Neonatal multisystem inflammatory syndrome (MIS-N), Multisystem inflammatory syndrome in children (MIS-C), SARS-CoV2 infection, SARS-CoV2 spike protein, SARS-CoV2 IgG antibodies.

[Heparin-Induced Thrombocytopenia].

The extensive use of therapeutic doses of heparin to prevent thrombosis in critically ill patients with COVID-19 during the pandemic has led to an increased incidence of bleeding and heparin-induced thrombocytopenia (HIT). In addition, the introduction of the AstraZeneca and Johnson&Johnson vaccines against COVID-19 into clinical practice was associated with the development of a rare but very severe, adverse thrombotic complication, vaccine-induced immune thrombotic thrombocytopenia (VITT). Thrombotic complications of VITT turned out to be similar to HIT both clinically and pathophysiologically. HIT is a potentially fatal immune-mediated adverse drug response that results in emergence of antibodies that activate platelets in the presence of heparin. HIT is characterized by a high incidence of venous and arterial thromboses, often with fatal outcomes. Currently, there are clearly defined international guidelines for the diagnosis, treatment and prevention of HIT. In case of thrombotic complications, non-heparin anticoagulants should be used.

Olfactory dysfunction as an early predictor for post-COVID condition at 1-year follow-up.

BACKGROUND: Olfactory dysfunction together with neurological and cognitive symptoms are common after COVID-19. We aimed to study whether performance on olfactory and neuropsychological tests following infection predict post-COVID condition (PCC), persisting symptoms, and reduced health-related quality of life. METHODS: Both hospitalized (N = 10) and non-hospitalized individuals (N = 56) were enrolled in this prospective cohort study. Participants were evaluated 1-3 months after infection with an olfactory threshold test and neuropsychological tests, which was used as predictors of PCC. A questionnaire outlining persisting symptoms and the validated instrument EuroQol five-dimension five-level for health-related quality of life assessment were used as outcome data 1 year after infection (N = 59). Principal component analysis was used to identify relevant predictors for PCC at 1 year. RESULTS: Objectively assessed olfactory dysfunction at 1-3 months post infection, but not subjective olfactory symptoms, predicted post-COVID condition with reduced health-related quality of life (PCC+) at 1 year. The PCC+ group scored more often below the cut off for mild cognitive impairment on the Montreal Cognitive Assessment (61.5% vs. 21.7%) and higher on the Multidimensional Fatigue Inventory-20, compared to the group without PCC+. CONCLUSION: Our results indicate that objectively assessed, olfactory dysfunction is a predictor for PCC+. These findings underscore the importance of objective olfactory testing. We propose that olfactory screening in the early post-acute phase of COVID-19 infection might identify individuals that are at higher risk of developing long-term health sequalae.

Proximal tubular dysfunction as a predictor of AKI in Hospitalized COVID-19 patients.

BACKGROUND: High concentration of Angiotensin converting enzyme receptors in the proximal tubules make kidneys an early target in COVID-19. Proximal tubular dysfunction (PTD) may act as an early predictor of acute kidney injury (AKI) and more severe disease. METHODS: This prospective observational study was conducted in the COVID unit, Bangabandhu Sheikh Mujib Medical University. 87 COVID-19 patients without known kidney disease were screened for 6 markers of PTD on admission-hyperuricosuria, normoglycemic glycosuria, proteinuria, renal phosphate leak, sodium leak and potassium leak. Positivity of 2 of the first 4 markers was considered as PTD. 35 patients with PTD and 35 without PTD were followed up throughout their hospital stay. RESULTS: 52.9% had PTD on admission. The most prevalent markers were renal sodium leak (67%), followed by proteinuria (66.7%), hyperuricosuria (42.5%), potassium leak (32.2%), phosphate leak (28.7%) and normoglycemic glycosuria (20.7%). Mean age was 55.7 years. 32.9% patients developed AKI. PTD group had higher odds of developing AKI (odds ratio 17.5 for stage 1, 24.8 for stage 2 and 25.5 for stage 3; p<0.0001). The mean duration of hospital stay was 9 days higher in the PTD group (p<0.001). PTD group also had higher odds of transferring to ICU (OR = 9.4, p = 0.002), need for mechanical ventilation (OR = 10.1, p = 0.002) and death (OR = 10.3, p = 0.001). 32.6% had complete PTD recovery during follow-up. CONCLUSION: Proximal tubular dysfunction is highly prevalent in COVID-19 patients very early in the disease and may act as a predictor of AKI, ICU transfer, need for mechanical ventilation and death.

Clinical presentation, diagnosis and management of multisystem inflammatory syndrome in children (MIS-C): a systematic review.

BACKGROUND: Knowledge about multisystem inflammatory syndrome in children (MIS-C) is evolving, and evidence-based standardised diagnostic and management protocols are lacking. Our review aims to summarise the clinical and diagnostic features, management strategies and outcomes of MIS-C and evaluate the variances in disease parameters and outcomes between high-income countries (HIC) and middle-income countries (MIC). METHODS: We searched four databases from December 2019 to March 2023. Observational studies with a sample size of 10 or more patients were included. Mean and prevalence ratios for various variables were pooled by random effects model using R. A mixed generalised linear model was employed to account for the heterogeneity, and publication bias was assessed via funnel and Doi plots. The primary outcome was pooled mean mortality among patients with MIS-C. Subgroup analysis was conducted based on the income status of the country of study. RESULTS: A total of 120 studies (20 881 cases) were included in the review. The most common clinical presentations were fever (99%; 95% CI 99.6% to 100%), gastrointestinal symptoms (76.7%; 95% CI 73.1% to 79.9%) and dermatological symptoms (63.3%; 95% CI 58.7% to 67.7%). Laboratory investigations suggested raised inflammatory, coagulation and cardiac markers. The most common management strategies were intravenous immunoglobulins (87.5%; 95% CI 82.9% to 91%) and steroids (74.7%; 95% CI 68.7% to 79.9%). Around 53.1% (95% CI 47.3% to 58.9%) required paediatric intensive care unit admissions, and overall mortality was 3.9% (95% CI 2.7% to 5.6%). Patients in MIC were younger, had a higher frequency of respiratory distress and evidence of cardiac dysfunction, with a longer hospital and intensive care unit stay and had a higher mortality rate than patients in HIC. CONCLUSION: MIS-C is a severe multisystem disease with better mortality outcomes in HIC as compared with MIC. The findings emphasise the need for standardised protocols and further research to optimise patient care and address disparities between HIC and MIC. PROSPERO REGISTRATION NUMBER: CRD42020195823.

Long-term gastrointestinal symptoms and sleep quality sequelae in adolescents after COVID-19: a retrospective study.

Objective: To evaluate the long-term gastrointestinal (GI) symptoms and sleep quality sequelae in adolescents with COVID-19. Methods: Between June and July 2023, an online survey was done in Xiaoshan District, Hangzhou City, Zhejiang Province, China, using the GI Symptom Rating Scale (GSRS) and the Pittsburgh Sleep Quality Inventory (PSQI). Results: GI symptoms in COVID-19 patients increased by 11.86% compared to before infection, while sleep quality decreased by 10.9%. Over time, there was a significant increase in the cumulative incidence rate of GI symptoms and sleep disorders (p < 0.001). Follow-up of COVID-19 positive patients within 6 months of infection showed that GI symptoms and sleep quality began to ease starting from the first month after infection. Further analysis indicated a significant linear relationship between the severity of GI symptoms and sleep quality (R > 0.5, p < 0.001). Moreover, females, older age, and higher education were identified as risk factors influencing the long-term effects of COVID-19. Conclusion: SARS-CoV-2 affects GI symptoms and sleep quality in adolescents during both the acute phase and post-infection periods. Over time, these symptoms gradually alleviate. A significant correlation exists between GI symptoms and sleep quality.

Plasma taurine level is linked to symptom burden and clinical outcomes in post-COVID condition.

BACKGROUND: A subset of individuals (10-20%) experience post-COVID condition (PCC) subsequent to initial SARS-CoV-2 infection, which lacks effective treatment. PCC carries a substantial global burden associated with negative economic and health impacts. This study aims to evaluate the association between plasma taurine levels with self-reported symptoms and adverse clinical outcomes in patients with PCC. METHODS AND FINDINGS: We analyzed the plasma proteome and metabolome of 117 individuals during their acute COVID-19 hospitalization and at the convalescence phase six-month post infection. Findings were compared with 28 age and sex-matched healthy controls. Plasma taurine levels were negatively associated with PCC symptoms and correlated with markers of inflammation, tryptophan metabolism, and gut dysbiosis. Stratifying patients based on the trajectories of plasma taurine levels during six-month follow-up revealed a significant association with adverse clinical events. Increase in taurine levels during the transition to convalescence were associated with a reduction in adverse events independent of comorbidities and acute COVID-19 severity. In a multivariate analysis, increased plasma taurine level between acute and convalescence phase was associated with marked protection from adverse clinical events with a hazard ratio of 0.13 (95% CI: 0.05-0.35; p<0.001). CONCLUSIONS: Taurine emerges as a promising predictive biomarker and potential therapeutic target in PCC. Taurine supplementation has already demonstrated clinical benefits in various diseases and warrants exploration in large-scale clinical trials for alleviating PCC.

Cognitive profile, neuroimaging and fluid biomarkers in post-acute COVID-19 syndrome.

We aimed to characterize the cognitive profile of post-acute COVID-19 syndrome (PACS) patients with cognitive complaints, exploring the influence of biological and psychological factors. Participants with confirmed SARS-CoV-2 infection and cognitive complaints ≥ 8 weeks post-acute phase were included. A comprehensive neuropsychological battery (NPS) and health questionnaires were administered at inclusion and at 1, 3 and 6 months. Blood samples were collected at each visit, MRI scan at baseline and at 6 months, and, optionally, cerebrospinal fluid. Cognitive features were analyzed in relation to clinical, neuroimaging, and biochemical markers at inclusion and follow-up. Forty-nine participants, with a mean time from symptom onset of 10.4 months, showed attention-executive function (69%) and verbal memory (39%) impairment. Apathy (64%), moderate-severe anxiety (57%), and severe fatigue (35%) were prevalent. Visual memory (8%) correlated with total gray matter (GM) and subcortical GM volume. Neuronal damage and inflammation markers were within normal limits. Over time, cognitive test scores, depression, apathy, anxiety scores, MRI indexes, and fluid biomarkers remained stable, although fewer participants (50% vs. 75.5%; p = 0.012) exhibited abnormal cognitive evaluations at follow-up. Altered attention/executive and verbal memory, common in PACS, persisted in most subjects without association with structural abnormalities, elevated cytokines, or neuronal damage markers.