Short and Long-Term Outcomes of Kidney Transplant Recipients Diagnosed With COVID-19 Infection: A Single-Center Observational Study.

PURPOSE: Kidney transplant recipients (KTRs) are at an increased risk of severe disease and death caused by coronavirus disease 2019 (COVID-19) infection. There is a paucity of information on the evolution of graft function among hospitalized KTRs who overcome the infection. METHODS: The study included adult KTRs at a single transplant institute who were diagnosed with COVID-19 and needed hospitalization between March 15, 2020, and January 15, 2021. We analyzed patient demographics, comorbid risk factors, and inpatient clinical courses for patients who were able to recover from the infection. Kidney function was analyzed pre-infection, during initial hospitalization, and up to 12 months post-infection. RESULTS: We identified 48 KTRs who were diagnosed with COVID-19 infection during the study period. Eighteen KTRs among these needed hospitalization for symptoms of fever and respiratory distress. Four patients died of COVID-19 infection-related complications and were excluded from the study. The 14 remaining patients in the study were predominantly of the Black race (85.7%), with a median time since transplant of four years. Of the patients, 64.3% developed acute kidney injury (AKI), with an average peak serum creatinine (sCr) of 2.6 mg/dl and a glomerular filtration rate (GFR) of 35. The mean sCr and GFR of the group were 2 mg/dl and 44 at baseline (prior to infection). This represented an increase in their sCr and GFR of 34% and 29%, respectively. The median follow-up post-infection was 14.5 months. sCr and GFR were 1.87 mg/dl and 47 at three to six months, and 1.89 mg/dl and 48 at nine to 12 months post-infection. New onset proteinuria was noted in five out of 14 patients (36%), with complete resolution of the same in all at three to six months follow-up. Of patients with AKI, 78% had complete recovery at three to six months follow-up. The mean baseline sCr and GFR of patients who had incomplete recovery was 2.35 and 31.5 with pre-existing proteinuria. Of our entire cohort, there was only one patient who experienced graft loss. This patient had a baseline sCr and GFR of 3.8 mg/dl and 22, existing proteinuria on urinalysis, and a history of biopsy-proven rejection. CONCLUSION: AKI is common among KTRs who are hospitalized with COVID-19 infection. Most of these recovered, although we noted that patients with baseline lower kidney function and existing proteinuria had a lower recovery rate.

Vitamin D insufficiency as a potential culprit in critical COVID-19 patients.

BACKGROUND: As an immune modulator, vitamin D has been implicated in the coronavirus disease-2019 (COVID-19) outcome. We aim to systematically explore the association of vitamin D serum levels with COVID-19 severity and prognosis. METHODS: The standardized mean difference (SMD) or odds ratio and 95% confidence interval (CI) were applied to estimate pooled results from six studies. The prognostic performance of vitamin D serum levels for predicting adverse outcomes with detection of the best cutoff threshold was determined by receiver operating characteristic curve analysis. Decision tree analysis by combining vitamin D levels and clinical features was applied to predict severity in COVID-19 patients. RESULTS: Mean vitamin D serum level of 376 patients, was 21.9 nmol/L (95% CI = 15.36-28.45). Significant heterogeneity was found (I2 = 99.1%, p < .001). Patients with poor prognosis (N = 150) had significantly lower serum levels of vitamin D compared with those with good prognosis (N = 161), representing an adjusted standardized mean difference of -0.58 (95% Cl = -0.83 to -0.34, p < .001). CONCLUSION: Serum vitamin D levels could be implicated in the COVID-19 prognosis. Diagnosis of vitamin D deficiency could be a helpful adjunct in assessing patients' potential of developing severe COVID-19. Appropriate preventative and/or therapeutic intervention may improve COVID-19 outcomes.

Gastroenterology manifestations and COVID-19 outcomes: A meta-analysis of 25,252 cohorts among the first and second waves.

A meta-analysis was performed to identify patients with coronavirus disease 2019 (COVID-19) presenting with gastrointestinal (GI) symptoms during the first and second pandemic waves and investigate their association with the disease outcomes. A systematic search in PubMed, Scopus, Web of Science, ScienceDirect, and EMBASE was performed up to July 25, 2020. The pooled prevalence of the GI presentations was estimated using the random-effects model. Pairwise comparison for the outcomes was performed according to the GI manifestations' presentation and the pandemic wave of infection. Data were reported as relative risk (RR), or odds ratio and 95% confidence interval. Of 125 articles with 25,252 patients, 20.3% presented with GI manifestations. Anorexia (19.9%), dysgeusia/ageusia (15.4%), diarrhea (13.2%), nausea (10.3%), and hematemesis (9.1%) were the most common. About 26.7% had confirmed positive fecal RNA, with persistent viral shedding for an average time of 19.2 days before being negative. Patients presenting with GI symptoms on admission showed a higher risk of complications, including acute respiratory distress syndrome (RR = 8.16), acute cardiac injury (RR = 5.36), and acute kidney injury (RR = 5.52), intensive care unit (ICU) admission (RR = 2.56), and mortality (RR = 2.01). Although not reach significant levels, subgroup-analysis revealed that affected cohorts in the first wave had a higher risk of being hospitalized, ventilated, ICU admitted, and expired. This meta-analysis suggests an association between GI symptoms in COVID-19 patients and unfavorable outcomes. The analysis also showed improved overall outcomes for COVID-19 patients during the second wave compared to the first wave of the outbreak.

Multisystem inflammatory syndrome in pediatric COVID-19 patients: a meta-analysis.

BACKGROUND: We aimed to systematically review the clinical and laboratory features of patients with the multisystem inflammatory syndrome in pediatrics diagnosed during the COVID-19 pandemic. DATA SOURCES: A literature search in Web of Science, PubMed, Scopus, and Science Direct was made up to June 29, 2020. RESULTS: Analysis of 15 articles (318 COVID-19 patients) revealed that although many patients presented with the typical multisystem inflammatory syndrome in pediatrics, Kawasaki-like features as fever (82.4%), polymorphous maculopapular exanthema (63.7%), oral mucosal changes (58.1%), conjunctival injections (56.0%), edematous extremities (40.7%), and cervical lymphadenopathy (28.5%), atypical gastrointestinal (79.4%) and neurocognitive symptoms (31.8%) were also common. They had elevated serum lactic acid dehydrogenase, D-dimer, C-reactive protein, procalcitonin, interleukin-6, troponin I levels, and lymphopenia. Nearly 77.0% developed hypotension, and 68.1% went into shock, while 41.1% had acute kidney injury. Intensive care was needed in 73.7% of cases; 13.2% were intubated, and 37.9% required mechanical ventilation. Intravenous immunoglobulins and steroids were given in 87.7% and 56.9% of the patients, respectively, and anticoagulants were utilized in 67.0%. Pediatric patients were discharged after a hospital stay of 6.77 days on average (95% CI 4.93-8.6). CONCLUSIONS: Recognizing the typical and atypical presentation of the multisystem inflammatory syndrome in pediatric COVID-19 patients has important implications in identifying children at risk. Monitoring cardiac and renal decompensation and early interventions in patients with multisystem inflammatory syndrome is critical to prevent further morbidity.

Meta-analysis on Serial Intervals and Reproductive Rates for SARS-CoV-2.

OBJECTIVE: The aim of this study was to systematically review and meta-analyze all literature reporting the basic reproductive number (R0), effective reproductive number (Re or Rt), and the serial interval (SI) values of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection. SUMMARY BACKGROUND DATA: To assess the rate at which an infectious disease can spread in a population, the 2 measures, R0 and Re or Rt, are widely used. One of the parameters which influence the calculations is the SI, the period between symptom onset in an infector and an infectee. METHODS: Web of Science, PubMed, Scopus, and Science Direct searching up to May 10, 2020, was performed. A continuous random-effect model was applied using the DerSimonian-Laird (inverse variance) method. Heterogeneity and publication bias were assessed. RESULTS: A total of 39 articles met the eligibility criteria. Our results demonstrated the mean SI was 5.45 days, with the 95% confidence interval (CI) of 4.23 to 6.66. Pooled estimates for reproduction rates was 3.14 (95% CI: 2.69-3.59) for R0 and 3.18 (95% CI: 2.89-3.47) for Rt. Subgroup analysis by geographical region and date of publication revealed variations over both time and geography in calculated R0 and Rt values. As time has progressed, predicted R0 and Rt values had decreased globally. CONCLUSIONS: The study findings indicate that one SARS-CoV-2-infected person is likely to infect 3 persons, supporting that COVID-19 is a highly contagious disease. As an essential objective metrics implied in risk assessment for this emerging pandemic, monitoring R0 and Re is necessary to indicate the effectiveness or failures of mitigation efforts.

Time-varying Reproductive Rates for SARS-CoV-2 and its Implications as a Means of Disease Surveillance on Lockdown Restrictions.

OBJECTIVE: To quantify the time-varying reproductive rates for SARS-CoV-2 and its implication in Louisiana. SUMMARY OF BACKGROUND DATA: Basic reproductive number (R0) and effective reproductive number (Re or Rt) are 2 measures of the ability of an infectious agent to spread in the environment. They differ in that R0 assumes zero immunity in the population, while Re or Rt accounts for change over time. Reproductive number modeling is influenced by several factors, including serial interval, the time between the onset of symptoms in an infector, and a secondary case. Quantification of the ability of a pathogen to spread is essential in guiding policy. METHODS: Here, we construct epidemic curves and calculate daily Rt values for the state of Louisiana and each of its 9 regions. RESULTS: Our results demonstrated variation over both time and geography in calculated R0 and Rt values. Generally, as time has progressed, predicted R0 and Rt values have decreased. In Louisiana, mean Rt was calculated at 3.07 in March and 0.82 by May. A reproductive number less than one is important as it indicates infectious spread will decline with time. The most recent finding of mean Rt = 0.82 is important. It stands in stark contrast to the situation in April when New Orleans, Louisiana, had the highest per capita coronavirus mortality rate in the United States - twice that of New York City and 4 times the rate in Seattle. CONCLUSION: As locations around the world begin to lift restrictions, monitoring of infectious spread will be essential.

Diagnostic and prognostic value of hematological and immunological markers in COVID-19 infection: A meta-analysis of 6320 patients.

OBJECTIVE: Evidence-based characterization of the diagnostic and prognostic value of the hematological and immunological markers related to the epidemic of Coronavirus Disease 2019 (COVID-19) is critical to understand the clinical course of the infection and to assess in development and validation of biomarkers. METHODS: Based on systematic search in Web of Science, PubMed, Scopus, and Science Direct up to April 22, 2020, a total of 52 eligible articles with 6,320 laboratory-confirmed COVID-19 cohorts were included. Pairwise comparison between severe versus mild disease, Intensive Care Unit (ICU) versus general ward admission and expired versus survivors were performed for 36 laboratory parameters. The pooled standardized mean difference (SMD) and 95% confidence intervals (CI) were calculated using the DerSimonian Laird method/random effects model and converted to the Odds ratio (OR). The decision tree algorithm was employed to identify the key risk factor(s) attributed to severe COVID-19 disease. RESULTS: Cohorts with elevated levels of white blood cells (WBCs) (OR = 1.75), neutrophil count (OR = 2.62), D-dimer (OR = 3.97), prolonged prothrombin time (PT) (OR = 1.82), fibrinogen (OR = 3.14), erythrocyte sedimentation rate (OR = 1.60), procalcitonin (OR = 4.76), IL-6 (OR = 2.10), and IL-10 (OR = 4.93) had higher odds of progression to severe phenotype. Decision tree model (sensitivity = 100%, specificity = 81%) showed the high performance of neutrophil count at a cut-off value of more than 3.74x109/L for identifying patients at high risk of severe COVID-19. Likewise, ICU admission was associated with higher levels of WBCs (OR = 5.21), neutrophils (OR = 6.25), D-dimer (OR = 4.19), and prolonged PT (OR = 2.18). Patients with high IL-6 (OR = 13.87), CRP (OR = 7.09), D-dimer (OR = 6.36), and neutrophils (OR = 6.25) had the highest likelihood of mortality. CONCLUSIONS: Several hematological and immunological markers, in particular neutrophilic count, could be helpful to be included within the routine panel for COVID-19 infection evaluation to ensure risk stratification and effective management.

Association of cardiac biomarkers and comorbidities with increased mortality, severity, and cardiac injury in COVID-19 patients: A meta-regression and decision tree analysis.

BACKGROUND: Coronavirus disease-2019 (COVID-19) has a deleterious effect on several systems, including the cardiovascular system. We aim to systematically explore the association of COVID-19 severity and mortality rate with the history of cardiovascular diseases and/or other comorbidities and cardiac injury laboratory markers. METHODS: The standardized mean difference (SMD) or odds ratio (OR) and 95% confidence intervals (CIs) were applied to estimate pooled results from the 56 studies. The prognostic performance of cardiac markers for predicting adverse outcomes and to select the best cutoff threshold was estimated by receiver operating characteristic curve analysis. Decision tree analysis by combining cardiac markers with demographic and clinical features was applied to predict mortality and severity in patients with COVID-19. RESULTS: A meta-analysis of 17 794 patients showed patients with high cardiac troponin I (OR = 5.22, 95% CI = 3.73-7.31, P < .001) and aspartate aminotransferase (AST) levels (OR = 3.64, 95% CI = 2.84-4.66, P < .001) were more likely to develop adverse outcomes. High troponin I more than 13.75 ng/L combined with either advanced age more than 60 years or elevated AST level more than 27.72 U/L was the best model to predict poor outcomes. CONCLUSIONS: COVID-19 severity and mortality are complicated by myocardial injury. Assessment of cardiac injury biomarkers may improve the identification of those patients at the highest risk and potentially lead to improved therapeutic approaches.