Correlation between coronary artery calcification and COVID-19.

Background: Coronary heart disease (CHD) is an underlying cardiac condition contributing to increased COVID-19 mortality and morbidity which can be assessed by several diagnosis methods including coronary artery calcification (CAC). The goal of this study was to find out if there were potential links between CAC, clinical findings, severity of COVID-19, and in-hospital outcomes. Methods: This retrospective study evaluated 551 suspected patients admitted to teaching hospitals of the Babol University of Medical Sciences, Babol, Iran, from March to October 2021. Data included previous diseases, comorbidities, clinical examinations, routine laboratory tests, demographic characteristics, duration of hospitalization, and number of days under ventilation were recorded in a checklist. Results: Findings of current study provide evidence of a significant relationship between coronary artery calcification (CAC) and in-hospital mortality. Additionally, we observed significant correlations between CAC and several clinical parameters including age, duration of hospitalization, pulse rate, maximum blood pressure, erythrocyte sedimentation rate (ESR), blood urea nitrogen (BUN), neutrophil count, white blood cell (WBC) count, and oxygen saturation. However, we did not observe a significant association between CAC and the severity index of COVID-19. In addition, logistic regression tests did not find a significant value of CAC to predict in-hospital mortality. Conclusion: Our findings showed a significant relationship between CAC and in-hospital mortality.

The nosocomial infection survey among patients suffering from the Coronavirus disease-2019 hospitalized in Ayatollah Rouhani Hospital, Babol.

Background: Having a weakened immune system can make patients easily get nosocomial infection (NI) with multi-drug resistant (MDR) bacteria and put them in a dangerous situation. It causes long hospital stays, disability, economic burden, and even death. The present study aimed to determine the prevalence of NI in patients suffering from COVID-19. Methods: In this retrospective study, the information on 250 patients suffering from COVID-19 in the intensive care unit (ICU) (2020 to 2021) was considered. For statistical analysis, analysis of variance (ANOVA), paired samples t-test, and chi-square using SPSS-23 software were used (p<0.05). Results: Two hundred and fifty hospitalized (107 females and 143 males, mean ± standard deviation (SD) of age; 56.50 ± 17.20) patients were considered. The most (97.60%) medicine prescribed was remdesivir. Candida spp. (two females), Escherichia coli (two females), Acinetobacter spp. (one female), Citrobacter spp. (one female), Pseudomonas spp. (one male), Sphingomonas spp. (one male), Stenotrophomonas spp. (one male) and Enterobacter spp. (one male) were isolated from the patient's specimens. Four of seven bacterial isolates were positive for MDR. NI was diagnosed in six patients. There was no significant relationship between the age with the isolated microbes (P=0.154) and MDR (P=0.987) and also between gender with common microbes (P=0.576) and MDR (P=0.143). Conclusion: The coexistence of bacteria and NI was observed in patients. Remdesivir was prescribed for most patients. Most bacteria were resistant to antibiotics, especially, ß-lactams.

Joint modeling of longitudinal and competing risks for assessing blood oxygen saturation and its association with survival outcomes in COVID-19 patients.

BACKGROUND: The objective of the present study is to evaluate the association between longitudinal and survival outcomes in the presence of competing risk events. To illustrate the application of joint modeling in clinical research, we assessed the blood oxygen saturation (SPO2) and its association with survival outcomes in coronavirus disease (COVID-19). MATERIALS AND METHODS: In this prospective cohort study, we followed 300 COVID-19 patients, who were diagnosed with severe COVID-19 in the Rohani Hospital in Babol, the north of Iran from October 22, 2020 to March 5, 2021, where death was the event of interest, surviving was the competing risk event and SPO2 was the longitudinal outcome. Joint modeling analyses were compared to separate analyses for these data. RESULT: The estimation of the association parameter in the joint modeling verified the association between longitudinal outcome SPO2 with survival outcome of death (Hazard Ratio (HR) = 0.33, P = 0.001) and the competing risk outcome of surviving (HR = 4.18, P < 0.001). Based on the joint modeling, longitudinal outcome (SPO2) decreased in hypertension patients (ß = -0.28, P = 0.581) and increased in those with a high level of SPO2 on admission (ß = 0.75, P = 0.03). Also, in the survival submodel in the joint model, the risk of death survival outcome increased in patients with diabetes comorbidity (HR = 4.38, P = 0.026). CONCLUSION: The association between longitudinal measurements of SPO2 and survival outcomes of COVID-19 confirms that SPO2 is an important indicator in this disease. Thus, the application of this joint model can provide useful clinical evidence in the different areas of medical sciences.

Bayesian model averaging for predicting factors associated with length of COVID-19 hospitalization.

INTRODUCTION: The length of hospital stay (LOHS) caused by COVID-19 has imposed a financial burden, and cost on the healthcare service system and a high psychological burden on patients and health workers. The purpose of this study is to adopt the Bayesian model averaging (BMA) based on linear regression models and to determine the predictors of the LOHS of COVID-19. METHODS: In this historical cohort study, from 5100 COVID-19 patients who had registered in the hospital database, 4996 patients were eligible to enter the study. The data included demographic, clinical, biomarkers, and LOHS. Factors affecting the LOHS were fitted in six models, including the stepwise method, AIC, BIC in classical linear regression models, two BMA using Occam's Window and Markov Chain Monte Carlo (MCMC) methods, and GBDT algorithm, a new method of machine learning. RESULTS: The average length of hospitalization was 6.7 ± 5.7 days. In fitting classical linear models, both stepwise and AIC methods (R 2 = 0.168 and adjusted R 2 = 0.165) performed better than BIC (R 2 = 0.160 and adjusted = 0.158). In fitting the BMA, Occam's Window model has performed better than MCMC with R 2 = 0.174. The GBDT method with the value of R 2 = 0.64, has performed worse than the BMA in the testing dataset but not in the training dataset. Based on the six fitted models, hospitalized in ICU, respiratory distress, age, diabetes, CRP, PO2, WBC, AST, BUN, and NLR were associated significantly with predicting LOHS of COVID-19. CONCLUSION: The BMA with Occam's Window method has a better fit and better performance in predicting affecting factors on the LOHS in the testing dataset than other models.

Prevalence of Psychological Distress and Posttraumatic Stress Symptoms and Associated Factors in Hospitalized Iranian COVID-19 Patients.

Objectives: To investigate the prevalence of psychiatric symptoms/distress and posttraumatic stress (PTS) and associated factors among inpatients with COVID-19 before discharge from the hospital. Methods: This cross-sectional study was conducted in two teaching referral hospitals in Babol, Iran from July to November 2020. The subjects were inpatients diagnosed with COVID-19 who were clinically stable. Before their discharge from the hospital, the patients completed three questionnaires: demographic data, Brief Symptom Inventory, and Primary Care Post Traumatic Stress Disorder Screen for Diagnostic and Statistical Manual-5. Results: The subjects were 477 inpatients diagnosed with COVID-19 including 40 (8.4%) admitted to intensive care units. Their average age was 60.5±17.9 years; 53.9% were female. Most had symptoms of significant psychological distress (96.0%) and PTS (8.1%) prior to discharge. A higher level of education (-0.18; standard error (SE) = 0.05; p < 0.001) was a negative predictor of psychiatric distress. The admission to intensive care units (0.86; SE = 0.08; p< 0.001) was a positive predictor of psychiatric distress. Conclusions: Most COVID-19 inpatients suffered significant psychiatric distress and PTS symptoms before discharge. Appropriate mental health crisis interventions are recommended for COVID-19 patients during hospitalization.

Evaluation of Time-Varying Biomarkers in Mortality Outcome in COVID-19: an Application of Extended Cox Regression Model.

Background: COVID-19 pandemic has created many challenges for clinicians. The monitoring trend for laboratory biomarkers is helpful to provide additional information to determine the role of those in the severity status and death outcome. Objective: This article aimed to evaluate the time-varying biomarkers by LOWESS Plot, check the proportional hazard assumption, and use to extended Cox model if it is violated. Methods: In the retrospective study, we evaluated a total of 1641 samples of confirmed patients with COVID-19 from October until March 2021 and referred them to the central hospital of Ayatollah Rohani Hospital affiliated with Babol University of medical sciences, Iran. We measured four biomarkers AST, LDH, NLR, and lymphocyte in over the hospitalization to find out the influence of those on the rate of death of COVID-19 patients. Results: The standard Cox model suggested that all biomarkers were prognostic factors of death (AST: HR=2.89, P<0.001, Lymphocyte: HR=2.60, P=0.004, LDH: HR=2.60, P=0.006, NLR: HR=1.80, P<0.001). The additional evaluation showed that the PH assumption was not met for the NLR biomarker. NLR biomarkers had a significant time-varying effect, and its effect increase over time (HR(t)=exp (0.234+0.261×log(t)), p=0.001). While the main effect of NLR did not show any significant effect on death outcome (HR=1.26, P=0.097). Conclusion: The reversal of results between the Cox PH model and the extended Cox model provides insight into the value of considering time-varying covariates in the analysis, which can lead to misleading results otherwise.

The Association of Clinical Symptoms and Coexistent Clinical Conditions with Ophthalmic Manifesting in COVID-19 Patients.

Background: The ocular symptoms are common manifestations in coronavirus infectious disease 2019 (COVID-19), which faces secondary complications and therapeutic challenges. Underlying diseases actuate the body to infectious diseases and their related manifestations through the aberration of metabolism and suppressing the immune system. This study aimed to investigate the correlation of underlying diseases and ocular manifestations in COVID-19 patients. Methods: This cross-sectional study was held on 108 hospitalized COVID-19 patients (confirmed by molecular detection) admitted to Rouhani hospital, Babol, Iran. Upon hospitalization, all clinical symptoms and underlying diseases were registered. Detailed clinical examinations regarding ophthalmological protocols were used to investigate the ocular symptoms. All analyses were performed by SPSS, version 25. Results: Our results showed that 26.67% of patients with at least one ocular symptom had hyperlipidemia, while 10.42% of patients without any ocular symptoms had hyperlipidemia (P=0.049). In this study, 97.81% of COVID-19 patients without epiphora had no thyroid disorders (hyper-/hypo-thyroidism), while 82.35% of COVID-19 patients with epiphora had not any thyroid disorders (P=0.012). Also, 75.00% of patients with blurred vision had diabetes mellitus, while 35.00% of patients without blurred vision suffered from diabetes mellitus. This difference was borderline significant (P=0.051). Other results showed that 13.04% of COVID-19 patients with eye redness suffer from myalgia, while 35.29% of patients without eye redness had myalgia (P=0.044). Also, 35.11% of COVID-19 patients without photophobia had myalgia, while none of the patients with photophobia had myalgia (P=0.005). Finally, 70.00% of patients with respiratory distress had at least one ocular symptom, while 43.10% of patients without respiratory distress had at least one ocular symptom (P=0.007). Conclusion: Some underlying diseases, e.g., hyperlipidemia, diabetes mellitus, and thyroid disorders, and some clinical symptoms in hospitalized patients, e.g., myalgia and respiratory distress, are correlated with ocular manifestations in COVID-19 patients.

Prognostic accuracy of inflammatory markers in predicting risk of ICU admission for COVID-19: application of time-dependent receiver operating characteristic curves.

OBJECTIVE: Intensive care unit (ICU) admission occurs at different times during hospitalization among patients with COVID-19. We aimed to evaluate the time-dependent receive operating characteristic (ROC) curve and area under the ROC curve, AUC(t), and accuracy of baseline levels of inflammatory markers C-reactive protein (CRP) and neutrophil-to-lymphocyte ratio (NLR) in predicting time to an ICU admission event in patients with severe COVID-19 infection. METHODS: In this observational study, we evaluated 724 patients with confirmed severe COVID-19 referred to Ayatollah Rohani Hospital, affiliated with Babol University of Medical Sciences, Iran. RESULTS: The AUC(t) of CRP and NLR reached 0.741 (95% confidence interval [CI]: 0.661-0.820) and 0.690 (95% CI: 0.607-0.772), respectively, in the first 3 days after hospital admission. The optimal cutoff values of CRP and NLR for stratification of ICU admission outcomes in patients with severe COVID-19 were 78 mg/L and 5.13, respectively. The risk of ICU admission was significantly greater for patients with these cutoff values (CRP hazard ratio = 2.98; 95% CI: 1.58-5.62; NLR hazard ratio = 2.90; 95% CI: 1.45-5.77). CONCLUSIONS: Using time-dependent ROC curves, CRP and NLR values at hospital admission were important predictors of ICU admission. This approach is more efficient than using standard ROC curves.

Prevalence of occult hepatitis C virus infection in hemodialysis patients.

BACKGROUND: Via hemodialysis, viral infections can be transmitted in patients a new definition of this infection with no increase in liver enzymes, negative HCV-PCR in serum and presence of virus in the liver and peripheral blood mononuclear cell (PBMC) called occult hepatitis C virus (HCV) infection (OCI). We decided to examine the prevalence of occult hepatitis C infection on hemodialysis cases. METHODS: The current research is a cross-sectional study on patients with end-stage renal disease (ESRD) who were at three hemodialysis centers in Mazandaran province in Iran during 2012-2014. In this study of 356 patients who were undergoing hemodialysis, 54 patients were excluded due to positive HCV Ab, and the remaining 302 patients were enrolled. The test of all serum samples for HCV-RNA detection of plasma and PBMCs was done by real-time polymerase chain reaction (real-time PCR). RESULTS: There was a significant association between the duration of dialysis with the prevalence of occult HCV infection (P=0.017). Eight (2.65%) patients were positive for HBs Ag and with OCI, but none of them was infected with both hepatitis C and B obviously. Also among the total number of patients, nine patients tested positive for HCV RT-PCR in PBMC in which one of them was positive for serum HCV RNA PCR and was excluded from the study. CONCLUSION: The results showed that eight patients had an OCI. There was not any association found between age and sex with OCI, but there was a significant relationship between the duration of dialysis with the prevalence of OCI.

Is COVID-19 associated with latent toxoplasmosis?

The present study aimed to evaluate the possible association between coronavirus disease 2019 (COVID-19) and latent Toxoplasma gondii infection in a group of patients and healthy individuals. Blood samples were obtained from 269 PCR-positive COVID-19 patients. The serum was separated and tested for the existence of anti-T. gondii antibodies (IgG) using a commercial enzyme-linked immunosorbent assay kit. The prevalence of latent toxoplasmosis between a subgroup of the patients (aged under 55 years old) and COVID-19 negative individuals was compared. Anti-T. gondii antibodies were found in 226/269 (84.0%) patients with COVID-19. Anti-Toxoplasma antibodies were detected in 72/91 (79.1%) cases and 96/123 (78.0%) COVID-19 negative individuals (odd ratio = 1.1; 95% confidence interval: 0.55-2.07, P = 0.85). The median and interquartile range (IQR) of the IgG titer were not statistically significant different between case (97.3 [31.0-133.5]) and control groups (34.4 [13.0-144.5]) (P = 0.10). These findings demonstrated that latent Toxoplasma infection is prevalent amongst the COVID-19 patients. It also did not find any significant association between chronic toxoplasmosis and COVID-19.

Update on SARS-CoV-2 seroprevalence: regional and worldwide.

BACKGROUND: With limited vaccine supplies, an informed position on the status of SARS-CoV-2 infection in people can assist the prioritization of vaccine deployment. OBJECTIVES: We performed a systematic review and meta-analysis to estimate the global and regional SARS-CoV-2 seroprevalences around the world. DATA SOURCES: We systematically searched peer-reviewed databases (PubMed, Embase and Scopus), and preprint servers (medRxiv, bioRxiv and SSRN) for articles published between 1 January 2020 and 30 March 2021. STUDY ELIGIBILITY CRITERIA: Population-based studies reporting the SARS-CoV-2 seroprevalence in the general population were included. PARTICIPANTS: People of different age groups, occupations, educational levels, ethnic backgrounds and socio-economic status from the general population. INTERVENTIONS: There were no interventions. METHODS: We used the random-effects meta-analyses and empirical Bayesian method to estimate the pooled seroprevalence and conducted subgroup and meta-regression analyses to explore potential sources of heterogeneity as well as the relationship between seroprevalence and socio-demographics. RESULTS: We identified 241 eligible studies involving 6.3 million individuals from 60 countries. The global pooled seroprevalence was 9.47% (95% CI 8.99-9.95%), although the heterogeneity among studies was significant (I2 = 99.9%). We estimated that ∼738 million people had been infected with SARS-CoV-2 (as of December 2020). Highest and lowest seroprevalences were recorded in Central and Southern Asia (22.91%, 19.11-26.72%) and Eastern and South-eastern Asia (1.62%, 1.31-1.95%), respectively. Seroprevalence estimates were higher in males, persons aged 20-50 years, in minority ethnic groups living in countries or regions with low income and human development indices. CONCLUSIONS: The present study indicates that the majority of the world's human population was still highly susceptible to SARS-CoV-2 infection in mid-2021, emphasizing the need for vaccine deployment to vulnerable groups of people, particularly in developing countries, and for the implementation of enhanced preventive measures until 'herd immunity' to SARS-CoV-2 has developed.

Seroprevalence of Hepatitis A and Hepatitis E Viruses among Pregnant Women in Northern Iran.

Background: Hepatitis A (HAV) and hepatitis E viruses (HEV) are endemic in Iran and are known major causes of acute viral hepatitis. Also, during pregnancy, they are associated with severe outcomes. Therefore, it is vital to evaluate the antibody levels against HAV and HEV in pregnant women to avoid severe outcomes incidence. Study design and methods. A total of 247 pregnant women were enrolled in this prospective cross-sectional study. In addition to completing the questionnaire and interviewing all participants, the serum samples were tested for anti-HAV and anti-HEV IgG using the enzyme-linked immunosorbent assay (ELISA). The association between anti-HAV and anti-HEV antibodies status and risk factors was evaluated. Results: The mean age of patients was 28.06 ± 5.29 years. Anti-HAV antibody was found in 111 patients (44.9%), while anti-HEV antibody was detected in only two pregnant women (0.8%). The seroprevalence of HAV was inversely related to the level of education. There was no significant correlation between HAV antibody levels and age, marital status, residence location, and pregnancy trimesters. Conclusion: Considering many complications of these diseases in pregnancy, the detection of enteroviral hepatitis, especially HAV in pregnant women, is necessary, and therefore, proactive measures, such as promoting education, improving people awareness, and vaccination, are recommended.

C-Reactive Protein as a Prognostic Indicator in COVID-19 Patients.

While some biomolecules have been explored to identify potential biomarkers for the prognosis of COVID-19 patients, there is no reliable prognostic indicator of the disease progression and severity. We aimed to evaluate the ability of the C-reactive protein (CRP) to predict COVID-19 infection outcome. This retrospective study was conducted on 429 patients diagnosed with COVID-19 between March 30, 2020, and April 30, 2020. The study population was divided into severe (n = 175) and nonsevere cases (n = 254). Data on demographic characteristics, clinical features, and laboratory findings on admission were collected. The proportion of patients with increased CRP levels was significantly higher in severe cases than in nonsevere patients. Analysis of the receiver operating characteristic (ROC) curve found that CRP could be used as an independent factor in predicting the severity of COVID-19. Also, patients with CRP >64.75 mg/L were more likely to have severe complications. In conclusion, CRP serum levels can predict the severity and progression of illness in patients with COVID-19.

Reduced frequency of T helper 17 and T helper 1 cells and their association with critical coronavirus disease 2019.

There is very little knowledge about the immune responses, particularly cellular immunity to coronavirus disease 2019 (COVID-19). The main objective of this study was to evaluate the frequency of T helper (Th) cell subtypes, including Th1, Th17, and Treg cells, in moderate-to-severe and critical COVID-19 patients compared to healthy controls. Twenty-nine moderate-to-severe and 13 critical patients confirmed for COVID-19, and 15 healthy subjects were included in this study. Interferon-γ (IFN-γ)-producing Th1 and interleukin-17A-producing Th17 and Treg cells in peripheral blood were measured with flow cytometry. The frequency of Th1 and Th17 was significantly decreased in critical patients compared to healthy subjects (aMD: -2.76 and - 2.34) and moderate-to-severe patients (aMD: -1.89 and - 1.89), respectively (p < 0.05). Differences were not significant between moderate-to-severe patients and healthy subjects for both Th1 (p = 0.358) and Th17 (p = 0.535), respectively. In contrast, significant difference was not observed between study subjects regarding the frequency of Treg cells. Patients with critical COVID-19 had a markedly lower Th1/Treg and Th17/Treg ratios compared with the controls and moderate-to-severe cases. Our study showed a dysregulated balance of Th1 and Th17 cells and its relation to the severity of COVID-19.

Linkage of Lambda Interferons in Protection Against Severe COVID-19.

The most recently discovered interferon (IFN) family, type III IFNs or lambda IFNs (IFN-λs) are caused by viral infection and act in mucosal barriers, such as the respiratory tract. In this study, we assessed the serum levels of IFN-λs in new coronavirus disease-2019 (COVID-19) patients. Sixty-four COVID-19 patients were enrolled in this study. All cases were divided into the intensive care unit (ICU) and non-ICU groups according to their symptoms. Fourteen samples of healthy controls were also included. The serum levels of IFN-λ1 and IFN-λ2 were analyzed by specific enzyme-linked immunosorbent assay (ELISA) kits. The concentrations of IFN-λ1 and IFN-λ2 induced in the serum of non-ICU patients (836.7 ± 284.6 and 798.8 ± 301.5 pg/mL, respectively) were higher than found in ICU patients (81.57 ± 34.25 and 48.32 ± 28.13 pg/mL, respectively) (P = 0.004 and P = 0.006, respectively) and healthy controls (85.57 ± 33.63 and 65.82 ± 21.26 pg/mL, respectively) (P = 0.03 and P = 0.04, respectively). Meanwhile, no significant differences were found in the concentration of both cytokines between the ICU patients and healthy controls. We conclude that higher levels of IFN-λs are associated with decreased clinical manifestations in COVID-19 patients. These cytokines could be a promising therapeutic agent to avoid the overwhelming consequences of COVID-19.

Clinical and laboratory findings from patients with COVID-19 pneumonia in Babol North of Iran: a retrospective cohort study.

BACKGROUND: In December 2019, China has experienced an outbreak of novel coronavirus disease 2019 (COVID-19). Coronavirus has now spread to all of the continents. We aimed to consider clinical characteristics, laboratory data of COVID-19 that provided more information for the research of this novel virus. METHODS: We performed a retrospective cohort study on the clinical symptoms and laboratory findings of a series of the 100 confirmed patients with COVID-19. These patients were admitted to the hospitals affiliated to Babol University of Medical Sciences (Ayatollah Rohani, Shahid Beheshti and Yahyanejad hospitals) form 25 February 2020 to 12 March 2020. RESULTS: Nineteen patients died during hospitalization and 81 were discharged. Non-survivor patients had a significantly higher C-reactive protein (CRP) (MD: 46.37, 95% CI: 20.84, 71.90; P = 0.001), white blood cells (WBCs) (MD: 3.10, 95% CI: 1.53, 4.67; P < 0.001) and lower lymphocyte (MD: -8.75, 95% CI: -12.62, -4.87; P < 0.001) compared to survivor patients Data analysis showed that comorbid conditions (aRR: 2.99, 95% CI: 1.09, 8.21, P = 0.034), higher CRP levels (aRR: 1.02, 95% CI: 1.01, 1.03, P = 0.044), and lower lymphocyte (aRR: 0.82, 95% CI: 0.73, 0.93, P = 0.003) were associated with increased risk of death. CONCLUSIONS: Based on our findings, most non-survivors are elderly with comorbidities. Lymphopenia and increased levels of WBCs along with elevated CRP were associated with increased risk of death. Therefore, it is best to be regularly assessed these markers during treatment of COVID-19 patients.

Clinical features and para-clinical findings of cryptococcal meningitis in the North of Iran during 2011-19.

BACKGROUND AND PURPOSE: Cryptococcal meningitis (CM) is a serious fungal infection that especially affects patients with human immunodeficiency virus (HIV). In this regard, the present retrospective study aimed to analyze the clinical and laboratory features and therapeutic outcomes of patients with CM admitted to two teaching referral centers in the north of Iran during 2011-19. MATERIALS AND METHODS: This study was performed on all the hospitalized patients diagnosed with CM in two therapeutic centers of infectious diseases in the north of Iran. The required data, such as demographic characteristics and clinical and paraclinical features of patients, were extracted and entered in the information forms. Finally, the collected data were analyzed in SPSS software (version 16). RESULTS: For the purpose of the study, records of 12 confirmed CM patients were evaluated in this research. Based on the results, 75% of the patients were male. Moreover, the average age of the subjects was 40.33± 8.93 years old and 66.6% of them (n=8) were HIV-positive. Other underlying diseases among HIV-positive patients included infection with hepatitis C virus (25%) and a history of tuberculosis (25%). In total, three HIV-negative patients suffered from Hodgkin lymphoma (25%), sarcoidosis (25%), and asthma (25%) and one patient (25%) had no underlying disease. Headache (75%), weakness, and fatigue (75%) were the most common symptoms among the participants. The cluster of differentiation 4 (CD4) count in all HIV-positive patients was less than 100 cells/µl. There was no significant difference between symptoms in HIV-positive and HIV-negative patients. Besides, no significant difference was observed between the groups of HIV-positive and HIV-negative patients regarding the period between the onset of symptoms and diagnosis of CM, the length of hospital stay, and the duration of antifungal medication consumption. In total, three patients (25%) expired, and six patients recovered. The CM recurred in two HIV-negative and one HIV-positive subjects; the two HIV-negative patients were treated, while the HIV-positive patient expired due to this recurrence. CONCLUSION: Clinical features and cerebrospinal fluid parameters were not different in HIV-positive and HIV-negative participants. Despite the fact that CM is not common in Iran, due to the increasing number of immunosuppressive patients, the differential diagnosis of CM should be considered for patients with signs and symptoms of infection in the central nervous system.

Neurologic manifestations in patients with COVID-19: A case report.

BACKGROUND: There are very few reports about the neurological complications of COVID-19. We describe two COVID-19 patients with neurologic presentations. CASE PRESENTATION: Herein we present neurological manifestations in 2 hospitalized patients with COVID-19. The patients showed most common symptoms of COVID-19 along with common conflicts in CT scans of lung such as ground-glass opacities (GGOs). First case revealed two episodes of generalized tonic-clonic seizures; brain CT scan in second patients revealed an extensive hypodense lesion in the left cerebellar hemisphere. All cases received supportive care, antibiotics, and antiviral medications. All cases were discharged with a good general condition. CONCLUSION: The current case series report the association between neurological involvements and COVID-19. Clinicians should be aware of neurologic symptoms in the setting of COVID-19, which might even be the first presentations of this infection.