Association of SARS-CoV-2 viral load with biochemical profile of COVID-19 patients: A nigerian experience.

Background: Kidney involvement in coronavirus disease 2019 (COVID-19) pathology has been supported by high frequency of angiotensin-converting enzyme 2 (ACE2) expression on renal cells and reports of acute kidney injury. However, the association between host viral load and kidney function is not clear. Aim: In this study, plasma levels of renal markers (urea nitrogen, creatinine, and estimated glomerular filtration rate (eGFR)) and electrolytes (sodium, potassium, chlorine, and bicarbonate) were assessed in relation to SARS-CoV-2 viral load of COVID-19 patients. Patients and Methods: This cross-sectional study involved 144 consenting COVID-19 patients admitted to the Ogun state COVID-19 isolation center between May and December 2020. All participants presented with mild respiratory symptoms and did not require ICU admission or ventilation support. Data included reverse transcriptase polymerase chain reaction (RT-PCR) cycle threshold (CT) value, blood urea nitrogen (BUN), creatinine, sodium, potassium, chlorine, bicarbonate measurements, and glomerular filtration rate. Reference intervals were used as comparators, and multiple linear regression model was fitted. Statistical significance was set at P < 0.05. Results: BUN level and creatinine were elevated in 4 (2.8%) and 42 (29.2%) patients, respectively, with lowered eGFR observed in 37 (25.7%) patients. Hyponatremia and hypokalemia were observed in 35 (24.3%) and 21 (14.6%) patients, respectively, while hypochloremia was observed in 21 (14.6%) patients. Lowered bicarbonate was observed in 29 (20.1%) patients. Linear regression showed statistically significant association (R2 = 0.340, P = 0.032) between RT-PCR CT value and eGFR (ß = 0.006, P = 0.017) as well as HCO3 (ß = -0.262, P = 0.036). Conclusion: COVID-19 patients with mild respiratory symptoms exhibited renal abnormalities, electrolytes, and acid-base imbalances which were partly associated with SARS-CoV-2 viral load.

Risk of mortality in COVID-19 patients: a meta- and network analysis.

Understanding the most relevant hematological/biochemical characteristics, pre-existing health conditions and complications in survivors and non-survivor will aid in predicting COVID-19 patient mortality, as well as intensive care unit (ICU) referral and death. A literature review was conducted for COVID-19 mortality in PubMed, Scopus, and various preprint servers (bioRxiv, medRxiv and SSRN), with 97 observational studies and preprints, consisting of survivor and non-survivor sub-populations. This meta/network analysis comprised 19,014 COVID-19 patients, consisting of 14,359 survivors and 4655 non-survivors. Meta and network analyses were performed using META-MAR V2.7.0 and PAST software. The study revealed that non-survivors of COVID-19 had elevated levels of gamma-glutamyl transferase and creatinine, as well as a higher number of neutrophils. Non-survivors had fewer lymphocytes and platelets, as well as lower hemoglobin and albumin concentrations. Age, hypertension, and cerebrovascular disease were shown to be the most influential risk factors among non-survivors. The most common complication among non-survivors was heart failure, followed by septic shock and respiratory failure. Platelet counts, creatinine, aspartate aminotransferase, albumin, and blood urea nitrogen levels were all linked to ICU admission. Hemoglobin levels preferred non-ICU patients. Lower levels of hemoglobin, lymphocytes, and albumin were associated with increased mortality in ICU patients. This meta-analysis showed that inexpensive and fast biochemical and hematological tests, as well as pre-existing conditions and complications, can be used to estimate the risk of mortality in COVID-19 patients.

Machine learning for prediction of in-hospital mortality in coronavirus disease 2019 patients: results from an Italian multicenter study.

BACKGROUND: Several risk factors have been identified to predict worse outcomes in patients affected by SARS-CoV-2 infection. Machine learning algorithms represent a novel approach to identifying a prediction model with a good discriminatory capacity to be easily used in clinical practice. The aim of this study was to obtain a risk score for in-hospital mortality in patients with coronavirus disease infection (COVID-19) based on a limited number of features collected at hospital admission. METHODS AND RESULTS: We studied an Italian cohort of consecutive adult Caucasian patients with laboratory-confirmed COVID-19 who were hospitalized in 13 cardiology units during Spring 2020. The Lasso procedure was used to select the most relevant covariates. The dataset was randomly divided into a training set containing 80% of the data, used for estimating the model, and a test set with the remaining 20%. A Random Forest modeled in-hospital mortality with the selected set of covariates: its accuracy was measured by means of the ROC curve, obtaining AUC, sensitivity, specificity and related 95% confidence interval (CI). This model was then compared with the one obtained by the Gradient Boosting Machine (GBM) and with logistic regression. Finally, to understand if each model has the same performance in the training and test set, the two AUCs were compared using the DeLong's test. Among 701 patients enrolled (mean age 67.2 ±â€Š13.2 years, 69.5% male individuals), 165 (23.5%) died during a median hospitalization of 15 (IQR, 9-24) days. Variables selected by the Lasso procedure were: age, oxygen saturation, PaO2/FiO2, creatinine clearance and elevated troponin. Compared with those who survived, deceased patients were older, had a lower blood oxygenation, lower creatinine clearance levels and higher prevalence of elevated troponin (all P < 0.001). The best performance out of the samples was provided by Random Forest with an AUC of 0.78 (95% CI: 0.68-0.88) and a sensitivity of 0.88 (95% CI: 0.58-1.00). Moreover, Random Forest was the unique model that provided similar performance in sample and out of sample (DeLong test P = 0.78). CONCLUSION: In a large COVID-19 population, we showed that a customizable machine learning-based score derived from clinical variables is feasible and effective for the prediction of in-hospital mortality.

Favipiravir Efficacy And Safety For The Treatment Of Severe Coronavirus Disease 2019: A Retrospective Study.

BACKGROUND: Corona virus disease is caused by the enveloped, single stranded RNA virus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) becoming the deadliest disease of the century. Its global outbreak has led researchers to develop drugs or vaccines to prevent the spread of the disease. Favipiravir is an approved orally administered antiviral drug that selectively inhibits RNA-dependent RNA polymerase, used off-label to treat COVID-19. Objectives: The purpose of this study was to assess the efficacy and safety of this drug for severe COVID-19 infection. METHODS: This was an observational retrospective study, carried out at the ICU of King Saud Medical City (KSMC) from June 2020 to August 2020. Including a total of one thousand six hundred and ninety-nine patients (n=1699). Categorized into a treatment group (193 patients) who received Favipiravir along with standard care, and non-treatment group (1506 patients) who received standard care only. RESULTS: ICU all-cause mortality was similar in both groups i.e., (Treated group 38.3% Vs Untreated group 39.4%, 95% CI of difference: -6.6% to +8.4%; p = 0.8). The subgroup analysis of survivors as compared to deceased in the treatment group showed that survivors had significantly lower age, international normalising ratio (INR), blood urea nitrogen (BUN), and creatinine. The mean ICU length of stay (LOS) was shorter for survivors compared to deceased (11.2± 8.03 Vs 16.7±9.8 days respectively), while hospital LOS was almost similar between the two groups. Advanced age (OR 1.03 [95% CI: 1.01-1.06]; p=0.004), higher INR and BUN were significantly associated with increased odds of mortality. Comparison of lab investigations at day 1 and day 10 in the treatment group (regardless of outcome) showed that there was a significant increase in Alanine transaminase (ALT), alkaline phosphatase (ALK), and Bilirubin, while an insignificant trend of increase in Aspartate transaminase (AST) and creatinine was recorded. CONCLUSIONS: In this study, Favipiravir showed better therapeutic responses in patients with severe COVID-19 infection, in terms of average duration of stay in the intensive care unit and was well tolerated in the younger age, but showed no mortality benefit. However, elevated levels of inflammatory markers, including increased ALT, AST, BUN, bilirubin, and creatinine, needs to be carefully examined.

Zonulin, a marker of gut permeability, is associated with mortality in a cohort of hospitalised peruvian COVID-19 patients.

Zonulin has previously been related to intestinal permeability in various inflammatory diseases, and more recently to the physiopathology of severe COVID-19 infections. We analysed serum samples from a previous study of a Peruvian cohort of hospitalised COVID-19 patients, for the quantification of zonulin by sandwich ELISA. Comparisons with clinical data, haematological and biochemical parameters and cytokine/chemokine levels were made. We found higher baseline zonulin levels in deceased patients, and zonulin was associated with fatal outcome in multivariable analyses, even after adjustment for age, gender, and obesity. There were also positive correlations between zonulin, creatinine, D-dimer values and prothrombin time, while inverse correlations were found for Sa/FiO2 ratio and CCL5 (RANTES). Further longitudinal studies are recommended to analyse the variation of zonulin levels over time as well as their relationship with long-COVID.

Derivation and external validation of a simple risk score to predict in-hospital mortality in patients hospitalized for COVID-19: A multicenter retrospective cohort study.

ABSTRACT: As severe acute respiratory syndrome coronavirus 2 continues to spread, easy-to-use risk models that predict hospital mortality can assist in clinical decision making and triage. We aimed to develop a risk score model for in-hospital mortality in patients hospitalized with 2019 novel coronavirus (COVID-19) that was robust across hospitals and used clinical factors that are readily available and measured standardly across hospitals.In this retrospective observational study, we developed a risk score model using data collected by trained abstractors for patients in 20 diverse hospitals across the state of Michigan (Mi-COVID19) who were discharged between March 5, 2020 and August 14, 2020. Patients who tested positive for severe acute respiratory syndrome coronavirus 2 during hospitalization or were discharged with an ICD-10 code for COVID-19 (U07.1) were included. We employed an iterative forward selection approach to consider the inclusion of 145 potential risk factors available at hospital presentation. Model performance was externally validated with patients from 19 hospitals in the Mi-COVID19 registry not used in model development. We shared the model in an easy-to-use online application that allows the user to predict in-hospital mortality risk for a patient if they have any subset of the variables in the final model.Two thousand one hundred and ninety-three patients in the Mi-COVID19 registry met our inclusion criteria. The derivation and validation sets ultimately included 1690 and 398 patients, respectively, with mortality rates of 19.6% and 18.6%, respectively. The average age of participants in the study after exclusions was 64 years old, and the participants were 48% female, 49% Black, and 87% non-Hispanic. Our final model includes the patient's age, first recorded respiratory rate, first recorded pulse oximetry, highest creatinine level on day of presentation, and hospital's COVID-19 mortality rate. No other factors showed sufficient incremental model improvement to warrant inclusion. The area under the receiver operating characteristics curve for the derivation and validation sets were .796 (95% confidence interval, .767-.826) and .829 (95% confidence interval, .782-.876) respectively.We conclude that the risk of in-hospital mortality in COVID-19 patients can be reliably estimated using a few factors, which are standardly measured and available to physicians very early in a hospital encounter.

The pattern of cytokines expression and dynamic changes of renal function at 6 months in patients with Omicron COVID-19.

To analyze the dynamic changes of renal function longitudinally and investigate the cytokine profiles at 6 months in patients with Omicron COVID-19. Forty-seven patients with a proven diagnosis of Omicron COVID-19 from January to February 2022 attended a 6-month follow-up after discharge at Tianjin First Central Hospital. The demographic parameters, clinical features, and laboratory indexes were collected during hospitalization and 6 months after discharge. The serum cytokine levels at 6 months were also assessed. Patients were grouped according to with or without kidney involvement at admission. The levels of serum creatinine and estimated glomerular filtration rate (eGFR) were all normal both in the hospital and at follow-up. Whereas, compared with renal function in the hospital, serum creatinine levels at 6 months increased remarkably; meanwhile, eGFR decreased significantly in all patients. The serum levels of interleukin (IL)-2, IL-4, IL-5, IL-6, IL-10, and TNF-α and IFN-γ significantly decreased and TGF-ß remarkably increased in the kidney involvement group. The serum levels of IL-2 and IL-5 were positively correlated with age; contrarily, TGF-ß showed a negative correlation with aging. The younger was an independent risk factor of the higher TGF-ß levels. Omicron patients showed a decline in renal function at follow-up, reflecting the trend of CKD. Serum cytokine profiles were characterized with the majority of cytokines decreased and TGF-ß increased in the kidney involvement group; the latter may be used as a sign of CKD. The tendency of CKD is one of the manifestations of long COVID and deserves attention.

Shrunken Pore Syndrome Is Frequently Occurring in Severe COVID-19.

A selective decrease in the renal filtration of larger molecules is attributed to the shrinkage of glomerular pores, a condition termed Shrunken Pore Syndrome (SPS). SPS is associated with poor long-term prognosis. We studied SPS as a risk marker in a cohort of patients with COVID-19 treated in an intensive care unit. SPS was defined as a ratio < 0.7 when the estimated glomerular filtration rate (eGFR), determined by cystatin C, calculated by the Cystatin C Caucasian-Asian-Pediatric-Adult equation (CAPA), was divided by the eGFR determined by creatinine, calculated by the revised Lund−Malmö creatinine equation (LMR). Clinical data were prospectively collected. In total, SPS was present in 86 (24%) of 352 patients with COVID-19 on ICU admission. Patients with SPS had a higher BMI, Simplified Physiology Score (SAPS3), and had diabetes and/or hypertension more frequently than patients without SPS. Ninety-nine patients in the total cohort were women, 50 of whom had SPS. In dexamethasone-naïve patients, C-reactive protein (CRP ), TNF-alpha, and interleukin-6 did not differ between SPS and non-SPS patients. Demographic factors (gender, BMI) and illness severity (SAPS3) were independent predictors of SPS. Age and dexamethasone treatment did not affect the frequency of SPS after adjustments for age, sex, BMI, and acute severity. SPS is frequent in severely ill COVID-19 patients. Female gender was associated with a higher proportion of SPS. Demographic factors and illness severity were independent predictors of SPS.

Can We Identify Patients in Danger of Delayed Treatment? Management of COVID-19 Pandemic Backlog in Urology Care in Poland.

The COVID-19 pandemic had a tremendous impact on healthcare systems around the world. This study aims to research the course of surgical treatment in urology during the pandemic in 2020, evaluate the volume of deferred treatment in urology in Poland, and indicate groups of patients that are especially vulnerable to a delay in the delivery of healthcare services. The National Health Found statistics (NHF) database was searched for information on procedures completed in urology departments from 2015 to 2020. Changes in hospital discharges of adults from 2019 to 2021 were investigated using monthly reports of NHF on patient billing groups. Statistics of PSA, testosterone, and creatinine testing were extracted from NHF reports. Annual changes in the number of surgeries were calculated. Then, the estimation of the expected quantity of procedures without the occurrence of the pandemic was performed using linear regression based on data from 2015 to 2020. The estimation was assumed reliable at R2 > 0.8. The difference between collected and estimated data was analysed. In 2020, the volume of radical prostatectomies, cystectomies, and kidney surgeries noted downturns following lockdowns in March and November. All analysed procedures, except radical cystectomy, noted a reduction in the entire year. The declines reached -34% in shockwave lithotripsy, -13% in ureterorenoscopic lithotripsy, -22% in cystolithotripsy, -28% in percutaneous lithotripsy, -12% in transurethral resection of a bladder tumour (TURBT), -31% in transurethral resection of the prostate, -15% in nephrectomy and kidney tumorectomy, and -10% in radical prostatectomy. Among the analysed procedures, only radical cystectomy rates increased 5%. Prostate-specific antigen and creatinine tests fell -17%, and testosterone testing was down -18%. In conclusion, the patients most vulnerable to delayed treatment due to the post-pandemic backlog are those requiring TURBT, kidney cancer operations, and radical prostatectomies. Solving backlogs in urology should prioritise cancer patients and thus requires improved access to cystoscopy, TURBT, diagnoses and surgery of prostate and kidney tumours. Addressing the needs of patients suffering from benign diseases demands appropriate measures to increase the surgical productivity of urology departments.

Inflammatory biomarkers and cardiac injury in COVID-19 patients.

Introduction: Cardiac injury has received considerable attention due to the higher risk of morbidity and mortality associated with coronavirus disease. However, in a developing country, there is a scarcity of data on cardiac injury in COVID-19 patients related to inflammatory biomarkers. Methods: Therefore, the present research retrospectively analyzes data from three territorial hospitals in Pakistan's Punjab province to investigate the potential impact of the cardiac injury on the mortality and severity of COVID-19-infected patients. We evaluated 2,051 patients between January 16 and April 18, 2022, with confirmed COVID-19. The in-hospital mortality recorded for the selected sample size was about 16.28%. Results: The majority of the participants were identified as male (64%) with a median age of 65 years. Also, fever, fatigue, and dyspnea were reported as common symptoms. An aggregate of 623 patients (30.38%) had a cardiac injury, and when these patients are compared to those without cardiac injury, the participants were significantly older and had more comorbidities with higher leukocyte counts, elevated levels of C-reactive protein, interleukin-6, procalcitonin, myohemoglobin, creatinine kinase-myocardial band, serum creatinine, high-sensitivity troponin-I, N-terminal pro-B-type natriuretic peptide had a significant amount of multiple ground-glass opacity and bilateral pulmonary infiltration in radiographic results. Participants with heart injury required more non-invasive or invasive mechanical respiration than those who did not have a cardiac injury. Individuals with cardiac injury had higher rates of sepsis, acute respiratory distress syndrome (ARDS), d-dimer concentration, and respiratory failure than those without cardiac injury. Patients who had had a cardiac injury died at a higher rate than those who had not suffered cardiac damage. In the multivariable logistic regression analysis, participants with cardiac injury showed greater odds of COVID-19 mortality and were found associated with older age (OR = 1.99, 95% CI = 0.04-3.19), elevated cardiac troponin I (OR = 18.64, 95% CI = 13.16-23.01), the complication of sepsis (OR = 10.39, 95% CI = 7.41-13.39) and ARDS (OR = 6.65, 95% CI = 4.04-8.91). Conclusion: Cardiac injury is a frequent complication among patients with coronavirus-induced infection in Punjab, Pakistan, and it is significantly linked to a greater risk of in-hospital mortality.

Albuminuria screening in children with type 1 diabetes prior to and during the COVID-19 pandemic.

BACKGROUND: Albuminuria is an important risk factor for adverse renal and cardiovascular outcomes in type 1 diabetes (T1D). We sought to describe: (1) adherence to albuminuria screening prior to and during the COVID-19 pandemic and (2) occurrence of abnormal urine albumin-creatinine ratio (ACR) tests in children with T1D. METHODS: This cohort study involved children aged 18 years or younger with T1D followed in the diabetes clinic at a pediatric tertiary center. Data was collected from 2016 to 2020. Adherence was defined by Diabetes Canada (DC) Guidelines for T1D in Children and Adolescents (2018). RESULTS: Of the 165 children who met DC criteria for screening; 88 (32%) were male and the median age at diagnosis was 5.8 years. Twenty-eight (17%) children had not completed a single ACR test, and 30 (18%) completed all eligible ACR tests. Test completion decreased from 66% in 2019 to 45% in 2020. Of the 345 ACR tests completed, 40 (11%) were abnormal (>2.5 mg/mmol) and 29 abnormal ACR tests (72%) were not repeated. CONCLUSION: Adherence to albuminuria screening in this pediatric diabetes clinic is suboptimal with deterioration during the COVID-19 pandemic. Patient/physician and program-level strategies to improve adherence will play an important role in quality improvement. IMPACT: Albuminuria screening is an important part of pediatric diabetes care. In our study, pediatric albuminuria screening adherence was suboptimal at 66% in 2019 and deteriorated during the pandemic to 45% in 2020. Program and patient-level adherence to clinical guidelines and barriers to accessing diabetes care during the pandemic merit further study.

Outcomes of Living Donor Kidney Transplant After SARS-CoV-2 Infection in Both the Donor and the Recipient: A Multicenter Study.

OBJECTIVES: Evidence on living donor kidney transplant procedures when both the donor and recipient have had a history of COVID-19 infection is scarce. MATERIALS AND METHODS: We retrospectively explored the protocol, outcomes, and follow-up of 64 donors and recipients of living donor kidney transplant who had recovered from COVID-19. This was a multicenter (n = 12) study from India that included transplants between October 29, 2020, and December 1, 2021. Induction and immunosuppression regimens forthose with different severities of COVID-19 were similar to standard practice. RESULTS: COVID-19 clinical severity ranged from asymptomatic/mild (not requiring oxygen therapy) in 49 recipients (77%) and 63 donors (95.4%) and moderate/severe (requiring oxygen therapy) in 15 recipients (23%) and 1 donor (4.6%). Mean wait time±SEM (SD)from firstdocumentednegative reverse transcriptase-polymerase chain reaction testto surgery for recipients and donors was 90.9 ± 9.27 (74.1) and 47 ± 4.5 (29.2) days, respectively. Six episodes (9.3%) of biopsy-proven acute rejection were reported at follow-up of 214 ± 14.8 (119) days and median of 227 (interquartile range, 109-309) days. The locally weighted scatter plot smoothing curve for creatinine during follow-up in donor-recipients pairs showed no trends of increased creatinine in the context of wait time from COVID-19 to transplant surgery. No graft loss, death, reactivation/reinfection, and complications related to surgery or COVID-19 were reported. CONCLUSIONS: Our report showed excellent outcomes and follow-up data of living donor kidney transplant in recovered donor-recipient pairs with the standard immunosuppression protocol. To our knowledge, this is the first and the largest study of donor-recipient living donor kidney transplant pairs when both donors and recipients had prior COVID-19.

Lymphocyte-C-reactive protein ratio can differentiate disease severity of COVID-19 patients and serve as an assistant screening tool for hospital and ICU admission.

In this study, we aimed to explore whether lymphocyte-C-reactive protein ratio (LCR) can differentiate disease severity of coronavirus disease 2019 (COVID-19) patients and its value as an assistant screening tool for admission to hospital and intensive care unit (ICU). A total of 184 adult COVID-19 patients from the COVID-19 Treatment Center in Heilongjiang Province at the First Affiliated Hospital of Harbin Medical University between January 2020 and March 2021 were included in this study. Patients were divided into asymptomatic infection group, mild group, moderate group, severe group, and critical group according to the Diagnosis and Treatment of New Coronavirus Pneumonia (ninth edition). Demographic and clinical data including gender, age, comorbidities, severity of COVID-19, white blood cell count (WBC), neutrophil proportion (NEUT%), lymphocyte count (LYMPH), lymphocyte percentage (LYM%), red blood cell distribution width (RDW), platelet (PLT), C-reactive protein (CRP), alanine aminotransferase (ALT), aspartate aminotransferase (AST), serum creatinine (SCr), albumin (ALB), total bilirubin (TB), direct bilirubin (DBIL), indirect bilirubin (IBIL), and D-dimer were obtained and collated from medical records at admission, from which sequential organ failure assessment (SOFA) score and LCR were calculated, and all the above indicators were compared among the groups. Multiple clinical parameters, including LYMPH, CRP, and LCR, showed significant differences among the groups. The related factors to classify COVID-19 patients into moderate, severe, and critical groups included age, number of comorbidities, WBC, LCR, and AST. Among these factors, the number of comorbidities showed the greatest effect, and only WBC and LCR were protective factors. The area under the receiver operating characteristic (ROC) curve of LCR to classify COVID-19 patients into moderate, severe, and critical groups was 0.176. The cutoff value of LCR and the sensitivity and specificity of the ROC curve were 1,780.7050 and 84.6% and 66.2%, respectively. The related factors to classify COVID-19 patients into severe and critical groups included the number of comorbidities, PLT, LCR, and SOFA score. Among these factors, SOFA score showed the greatest effect, and LCR was the only protective factor. The area under the ROC curve of LCR to classify COVID-19 patients into severe and critical groups was 0.106. The cutoff value of LCR and the sensitivity and specificity of the ROC curve were 571.2200 and 81.3% and 90.0%, respectively. In summary, LCR can differentiate disease severity of COVID-19 patients and serve as a simple and objective assistant screening tool for hospital and ICU admission.

Observational study of factors associated with morbidity and mortality from COVID-19 in Lebanon, 2020-2021.

BACKGROUND: The COVID-19 pandemic claimed millions of lives worldwide without clear signs of abating despite several mitigation efforts and vaccination campaigns. There have been tremendous interests in understanding the etiology of the disease particularly in what makes it severe and fatal in certain patients. Studies have shown that COVID-19 patients with kidney injury on admission were more likely to develop severe disease, and acute kidney disease was associated with high mortality in COVID-19 hospitalized patients. METHODS: This study investigated 819 COVID-19 patients admitted between January 2020-April 2021 to the COVID-19 ward at a tertiary care center in Lebanon and evaluated their vital signs and biomarkers while probing for two main outcomes: intubation and fatality. Logistic and Cox regressions were performed to investigate the association between clinical and metabolic variables and disease outcomes, mainly intubation and mortality. Times were defined in terms of admission and discharge/fatality for COVID-19, with no other exclusions. RESULTS: Regression analysis revealed that the following are independent risk factors for both intubation and fatality respectively: diabetes (p = 0.021 and p = 0.04), being overweight (p = 0.021 and p = 0.072), chronic kidney disease (p = 0.045 and p = 0.001), and gender (p = 0.016 and p = 0.114). Further, shortness of breath (p<0.001), age (p<0.001) and being overweight (p = 0.014) associated with intubation, while fatality with shortness of breath (p<0.001) in our group of patients. Elevated level of serum creatinine was the highest factor associated with fatality (p = 0.002), while both white blood count (p<0.001) and serum glutamic-oxaloacetic transaminase levels (p<0.001) emerged as independent risk factors for intubation. CONCLUSIONS: Collectively our data show that high creatinine levels were significantly associated with fatality in our COVID-19 study patients, underscoring the importance of kidney function as a main modulator of SARS-CoV-2 morbidity and favor a careful and proactive management of patients with elevated creatinine levels on admission.

Rhabdomyolysis after COVID-19 Infection: A Case Report and Review of the Literature.

Rhabdomyolysis is a condition in which muscle breaks down potentially leading to renal dysfunction, and often occurs secondary to a precipitating factor. Viral or bacterial infections are common precipitants for initiating rhabdomyolysis. Recently, healthcare systems across the world have been challenged by a pandemic of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) causing 'coronavirus disease 2019' (COVID-19) disease. SARS-CoV-2 infection is recognized to cause respiratory and cardiovascular compromise, thromboembolic events, and acute kidney injury (AKI); however, it is not known whether it can precipitate rhabdomyolysis, with only a limited number of cases of SARS-CoV-2 infection preceding rhabdomyolysis reported to date. Here, we report the case of a 64-year-old woman who developed rhabdomyolysis shortly after SARS-CoV-2 infection and COVID-19. She initially presented with muscular pain, a creatine kinase level of 119,301 IU/L, and a mild rise in her creatinine level to 92 µmol/L, but successfully recovered with intravenous fluid support. We also review the literature to summarise previously reported cases of rhabdomyolysis precipitated by SARS-CoV-2, highlighting the need to consider this diagnosis in patients presenting with SARS-CoV-2 and myalgia.

Molnupiravir When Used Alone Seems to Be Safe and Effective as Outpatient COVID-19 Therapy for Hemodialyzed Patients and Kidney Transplant Recipients.

BACKGROUND: Molnupiravir demonstrated an in vitro antiviral activity against positive-sense RNA viruses, including SARS-CoV-2. The study aimed to present the results of outpatient molnupiravir use in kidney transplant recipients and hemodialysis patients during the first months of 2022 in Poland. METHODS: The retrospective observational cohort study at one kidney transplant center included 36 patients diagnosed with COVID-19 with an automated nucleic acid amplification test on nasopharyngeal swab specimens. All patients received molnupiravir for home-based therapy at a dose of 800 mg every 12 h orally for 5 days. Both kidney transplant recipients (n = 16) and hemodialysis patients (n = 20) presented a lot of comorbidities with a Charlson comorbidity index of 4.1 and 5.1, respectively. RESULTS: Patients presented with fever, cough, and weakness followed by muscle and joint pain. Five kidney transplant recipients experienced acute kidney injury with a rise in serum creatinine level from 0.4 to 1.9 mg/dL. No serious side effects of molnupiravir therapy or interactions with immunosuppressive medications were observed. Symptoms of COVID-19 improved rapidly or resolved within 24-48 h of starting treatment. CONCLUSION: The study suggests the safety and efficacy of molnupiravir therapy alone early after the onset of SARS-CoV-2 infection, but further investigations should be performed to confirm our preliminary results. To the best of the authors' knowledge, it is the first published report on molnupiravir use in end-stage kidney disease (ESKD) patients on hemodialysis and the third concerning kidney transplant recipients.

Blood phenotype O and indirect bilirubin are associated with lower, early COVID-19-related mortality: A retrospective study.

OBJECTIVES: To evaluate the ABO blood type and indirect bilirubin to predict early mortality in adults with severe COVID-19. METHODS: This retrospective observational study was conducted on 268 adult patients with laboratory-confirmed COVID-19 who had attended the intensive care unit (ICU), Quena general hospital and Luxor International Hospital, and other hospitals or centers for the treatment of COVID-19, during the period from January 2021 till December 2021. RESULTS: Relation between mortality and ABO group were highly significant, as we found non-O blood group with more risk of early mortality and intensive care unit admission ICU. There were significant differences between dead and alive cases as regards platelets, white blood cells WBCs (neutrophil, lymphocyte), albumin, liver enzymes aspartate transeferase (AST), alanine transferase (ALT), total direct and indirect bilirubin, creatinine, and urea. CONCLUSION: There was a highly significant relation between dead cases and ABO blood group as between the O and non-O groups; also, group O was associated with less severe manifestations and or ventilation and less mortality in patients with severe COVID-19 infection. Direct bilirubin >0.5 was found to be the best predictor for mortality in cases with COVID-19 so indirect bilirubin may be considered a good protector against complications of the infection.

Incidence of COVID-19 and Identification of Possible Risk Factors Associated with COVID-19 in Acute Renal Transplant Recipients in Pakistan.

BACKGROUND Renal transplant recipients are susceptible to increased mortality with COVID-19 infection. There is insufficient data regarding risk factors for COVID-19 disease acquisition. We aimed to identify them here. MATERIAL AND METHODS We enrolled Pakistani renal transplant recipients from February 10, 2020, to March 18, 2021, and actively tracked their baseline health status, transplant characteristics, comorbidities, immunosuppressive therapies, and post-transplant follow-ups until September 2021. Furthermore, we formulated 2 questionnaires for their compliance assessment with COVID-19-preventive measures. We also identified COVID-19 disease acquisition, symptomatology, and management. RESULTS Among the 50 enrolled patients, 14 (28%) patients developed COVID-19, which is higher than the incidence observed in general Pakistani population (0.55%). Their mean age was 35.38 years ±11.69 SD years, and 82% of patients were males. The following factors were independently associated with COVID-19 disease: female gender (P value: 0.042), diabetes mellitus (P value: 0.002), anti-thymocyte globulin (ATG) induction (P value: 0.006), in-person follow-ups (P value: 0.000), prolonged immediate and late post-transplant hospital stays (P value: 0.019 and 0.000, respectively), raised post-transplant serum creatinine (P value: 0.019), and COVID-19 protective measures non-compliance (P value: 0.000). Out of 14 infected recipients, 92.85% required symptomatic management and overall mortality was 0%. CONCLUSIONS Female gender, diabetes mellitus, ATG induction, in-person follow-ups, prolonged hospital stays, raised post-transplant serum creatinine, and COVID-19-protective measures non-compliance were associated with the higher acquisition of SARS-CoV-2 infection. By taking concrete measures against these risk factors, we can continue renal transplants, as overall mortality was lower than in the general Pakistani population (2%).

Prevalence of renal involvement among pediatric patients hospitalized due to coronavirus disease 2019: A multicenter study. / Prevalencia de compromiso renal en pacientes pediátricos internados con enfermedad por coronavirus 2019: estudio multicéntrico.

INTRODUCTION: Renal involvement among pediatric patients with coronavirus disease 2019 (COVID-19) ranges between 1.2% and 44%. Given the limited information available locally, the primary objective of this study was to estimate the prevalence of renal involvement in our setting. POPULATION AND METHODS: Cross-sectional study conducted in 13 Argentine sites between March and December 2020. Patients aged 1 month to 18 years hospitalized due to COVID-19 and with at least one measurement of serum creatinine and/or a urinalysis were included. Those with a known kidney disease were excluded. Renal involvement was defined as the presence of acute kidney injury (AKI), proteinuria, hematuria, leukocyturia and/or arterial hypertension (HTN). RESULTS: Among 528 eligible medical records, 423 patients were included (55.0% were males; median age: 5.3 years). The clinical presentation was asymptomatic in 31%; mild, in 39.7%; moderate, in 23.9%; severe, in 1.2%; critical, in 0.7%; and 3.5% had multisystem inflammatory syndrome in children (MIS-C). Two patients (0.47%) died. The prevalence of renal involvement was 10.8% (95% confidence interval: 8.2-14.2); it was described as leukocyturia (16.9%), proteinuria (16.0%), hematuria (13.2%), HTN (3.7%), and AKI (2.3%). No patient required dialysis. Renal involvement was associated with severe forms of disease (p < 0.0001). CONCLUSIONS: The prevalence of renal involvement among pediatric patients hospitalized due to COVID-19 in 13 Argentine sites was 10.8%; severe forms of disease prevailed.

Introducción. El compromiso renal (CR) en niños internados con enfermedad por coronavirus 2019 (COVID-19, por su sigla en inglés) varía entre el 1,2 % y el 44 %. Dado que existe limitada información local, el objetivo primario de este estudio fue estimar la prevalencia de CR en nuestro medio. Población y métodos. Estudio transversal realizado en 13 centros de Argentina entre marzo y diciembre de 2020. Se incluyeron pacientes internados con COVID-19, de 1 mes a 18 años y que tuvieran al menos una determinación de creatinina sérica y/o de orina completa. Se excluyeron aquellos con enfermedad renal conocida. Se consideró CR la presencia de lesión renal aguda (LRA), proteinuria, hematuria, leucocituria y/o hipertensión arterial (HTA). Resultados. De 528 historias clínicas elegibles, se incluyeron las de 423 pacientes (el 55,0 % de sexo masculino, mediana de edad 5,3 años). El cuadro clínico fue asintomático en el 31 %, leve en el 39,7 %, moderado en el 23,9 %, grave en el 1,2 %, crítico en el 0,7 %, y el 3,5 % presentó síndrome inflamatorio multisistémico pediátrico (SIMP). Dos pacientes (0,47 %) fallecieron. La prevalencia de CR fue del 10,8 % (intervalo de confianza 95% 8,2-14,2), expresada por leucocituria (16,9 %), proteinuria (16,0 %), hematuria (13,2 %), HTA (3,7 %) y LRA (2,3 %). Ninguno requirió diálisis. Presentar CR se asoció (p <0,0001) con formas graves de enfermedad. Conclusión. La prevalencia de CR en pacientes pediátricos internados con COVID-19 en 13 centros de nuestro país fue del 10,8 % y predominó en las formas clínicas graves.