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2.
Transpl Int ; 35: 10205, 2022.
Article in English | MEDLINE | ID: covidwho-1707409

ABSTRACT

Data from the general population suggest that fatality rates declined during the course of the pandemic. This analysis, using data extracted from the Brazilian Kidney Transplant COVID-19 Registry, seeks to determine fatality rates over time since the index case on March 3rd, 2020. Data from hospitalized patients with RT-PCR positive SARS-CoV-2 infection from March to August 2020 (35 sites, 878 patients) were compared using trend tests according to quartiles (Q1: <72 days; Q2: 72-104 days; Q3: 105-140 days; Q4: >140 days after the index case). The 28-day fatality decreased from 29.5% (Q1) to 18.8% (Q4) (pfor-trend = 0.004). In multivariable analysis, patients diagnosed in Q4 showed a 35% reduced risk of death. The trend of reducing fatality was associated with a lower number of comorbidities (20.7-10.6%, p for-trend = 0.002), younger age (55-53 years, pfor-trend = 0.062), and better baseline renal function (43.6-47.7 ml/min/1.73 m2, pfor-trend = 0.060), and were confirmed by multivariable analysis. The proportion of patients presenting dyspnea (pfor-trend = 0.001) and hypoxemia (pfor-trend < 0.001) at diagnosis, and requiring intensive care was also found reduced (pfor-trend = 0.038). Despite possible confounding variables and time-dependent sampling differences, we conclude that COVID-19-associated fatality decreased over time. Differences in demographics, clinical presentation, and treatment options might be involved.


Subject(s)
COVID-19 , Kidney Transplantation , Cohort Studies , Humans , Kidney Transplantation/adverse effects , Registries , SARS-CoV-2 , Transplant Recipients
3.
Rev Inst Med Trop Sao Paulo ; 64: e8, 2022.
Article in English | MEDLINE | ID: covidwho-1686201

ABSTRACT

Worldwide, transplant programs have suffered a setback during the coronavirus disease 2019 (COVID-19) pandemic and most have temporarily suspended their transplant activities. . We identified 36 liver transplant patients who tested positive for COVID-19. The cases were confirmed by the nucleic acid test (RT-PCR). Epidemiological, demographic, clinical, laboratory, management and outcome data were obtained from the patients' medical records. Fourteen patients (38.9%) required admission to the Intensive Care Unit and/or invasive ventilatory support (severe cases). The mean age of these severe cases was 63.8 years. Regarding the time since the transplant, 71.4% (10/14 patients) had undergone the procedure less than one year before. The immunosuppressive therapy was reduced in patients who required Intensive Care Unit. A total of 12 cases (12/14, 85.7%) required invasive ventilatory support. Eight cases (8/14, 57.1%) required renal replacement therapy. In this group of patients, nine died (64.3 %). In turn, 22 patients had mild to moderate symptoms of COVID-19, not requiring invasive ventilatory support or admission to the Intensive Care Unit. The mean age in these patients was 56.5 years and comorbidities were present in 15 (68.2%) of the cases. In this group, only five patients (5/22, 22.7%) required hospitalization due to complications and there were no deaths This report describes the results of COVID-19 infection in a very specific population, suggesting that liver transplant patients have a significant higher risk of progressing to severeCOVID-19 , with a mortality rate among critically-ill patients above that of the general population.


Subject(s)
COVID-19 , Liver Transplantation , Brazil , Humans , Intensive Care Units , Middle Aged , Pandemics , Respiration, Artificial , SARS-CoV-2 , Tertiary Care Centers
4.
Am J Transplant ; 22(2): 610-625, 2022 02.
Article in English | MEDLINE | ID: covidwho-1367287

ABSTRACT

This analysis, using data from the Brazilian kidney transplant (KT) COVID-19 study, seeks to develop a prediction score to assist in COVID-19 risk stratification in KT recipients. In this study, 1379 patients (35 sites) were enrolled, and a machine learning approach was used to fit models in a derivation cohort. A reduced Elastic Net model was selected, and the accuracy to predict the 28-day fatality after the COVID-19 diagnosis, assessed by the area under the ROC curve (AUC-ROC), was confirmed in a validation cohort. The better calibration values were used to build the applicable ImAgeS score. The 28-day fatality rate was 17% (n = 235), which was associated with increasing age, hypertension and cardiovascular disease, higher body mass index, dyspnea, and use of mycophenolate acid or azathioprine. Higher kidney graft function, longer time of symptoms until COVID-19 diagnosis, presence of anosmia or coryza, and use of mTOR inhibitor were associated with reduced risk of death. The coefficients of the best model were used to build the predictive score, which achieved an AUC-ROC of 0.767 (95% CI 0.698-0.834) in the validation cohort. In conclusion, the easily applicable predictive model could assist health care practitioners in identifying non-hospitalized kidney transplant patients that may require more intensive monitoring. Trial registration: ClinicalTrials.gov NCT04494776.


Subject(s)
COVID-19 , Kidney Transplantation , COVID-19 Testing , Humans , Internet , Kidney Transplantation/adverse effects , ROC Curve , Retrospective Studies , Risk Factors , SARS-CoV-2 , Transplant Recipients
5.
PLoS One ; 16(7): e0254822, 2021.
Article in English | MEDLINE | ID: covidwho-1329136

ABSTRACT

BACKGROUND: Kidney transplant (KT) recipients are considered a high-risk group for unfavorable outcomes in the course of coronavirus disease 2019 (COVID-19). AIM: To describe the clinical aspects and outcomes of COVID-19 among KT recipients. METHODS: This multicenter cohort study enrolled 1,680 KT recipients diagnosed with COVID-19 between March and November 2020, from 35 Brazilian centers. The main outcome was the 90-day cumulative incidence of death, for the entire cohort and according to acute kidney injury (AKI) and renal replacement therapy (RRT) requirement. Fatality rates were analyzed according to hospitalization, intensive care unit (ICU) admission, and mechanical ventilation (MV) requirement. Multivariable analysis was performed by logistic regression for the probability of hospitalization and death. RESULTS: The median age of the recipients was 51.3 years, 60.4% were men and 11.4% were Afro-Brazilian. Comorbidities were reported in 1,489 (88.6%), and the interval between transplantation and infection was 5.9 years. The most frequent symptoms were cough (54%), myalgia (40%), dyspnea (37%), and diarrhea (31%), whereas the clinical signs were fever (61%) and hypoxemia (13%). Hospitalization was required in 65.1%, and immunosuppressive drugs adjustments were made in 74.4% of in-hospital patients. ICU admission was required in 34.6% and MV in 24.9%. In the multivariable modeling, the variables related with the probability of hospitalization were age, hypertension, previous cardiovascular disease, recent use of high dose of steroid, and fever, dyspnea, diarrhea, and nausea or vomiting as COVID-19 symptoms. On the other hand, the variables that reduced the probability of hospitalization were time of COVID-19 symptoms, and nasal congestion, headache, arthralgia and anosmia as COVID-19 symptoms. The overall 90-day cumulative incidence of death was 21.0%. The fatality rates were 31.6%, 58.2%, and 75.5% in those who were hospitalized, admitted to the ICU, and required MV, respectively. At the time of infection, 23.2% had AKI and 23.4% required RRT in the follow-up. The cumulative incidence of death was significantly higher among recipients with AKI (36.0% vs. 19.1%, P < 0.0001) and in those who required RRT (70.8% vs. 10.1%, P < 0.0001). The variables related with the probability of death within 90 days after COVID-19 were age, time after transplantation, presence of hypertension, previous cardiovascular disease, use of tacrolimus and mycophenolate, recent use of high dose of steroids, and dyspnea as COVID-19 symptom. On the other hand, the variables that reduced the risk of death were time of symptoms, and headache and anosmia as COVID-19 symptoms. CONCLUSION: The patients diagnosed with COVID-19 were long-term KT recipients and most of them had some comorbidities. One in every five patients died, and the rate of death was significantly higher in those with AKI, mainly when RRT was required.


Subject(s)
COVID-19/mortality , Kidney Transplantation/mortality , Acute Kidney Injury , Adult , Aged , Brazil/epidemiology , COVID-19/complications , Cohort Studies , Comorbidity , Female , Hospital Mortality , Humans , Intensive Care Units , Kidney Transplantation/adverse effects , Kidney Transplantation/methods , Male , Middle Aged , Renal Replacement Therapy , Respiration, Artificial/adverse effects , Retrospective Studies , Risk Factors , SARS-CoV-2/isolation & purification , Transplant Recipients/statistics & numerical data
7.
Transpl Infect Dis ; 22(6): e13376, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-610834

ABSTRACT

Protecting immunosuppressed patients during infectious disease outbreaks is crucial. During this novel coronavirus disease 2019 pandemic, preserving "clean areas" in hospitals assisting organ transplant recipients is key to protect them and to preserve transplantation activity. Evidence suggests that asymptomatic carriers might transmit the SARS-CoV-2, challenging the implementation of transmission preventive strategies. We report a single-center experience using universal SARS-CoV-2 screening for all inpatients and newly admitted patients to an Organ Transplant Unit located in a region with significantly high community-based transmission.


Subject(s)
COVID-19/diagnosis , Carrier State/diagnosis , Cross Infection/prevention & control , Organ Transplantation , Adult , Aged , Brazil , COVID-19/complications , COVID-19/physiopathology , COVID-19/prevention & control , COVID-19 Nucleic Acid Testing , Child , End Stage Liver Disease/complications , Female , Hospital Units , Humans , Kidney Failure, Chronic/complications , Kidney Transplantation , Liver Transplantation , Male , Mass Screening , Middle Aged , Patient Isolation , Personal Protective Equipment , SARS-CoV-2 , Waiting Lists
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