MARLON JULIANO ROMERO ALIBERTI
Projetos de Pesquisa
Unidades Organizacionais
Instituto Central, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/66, Hospital das Clínicas, Faculdade de Medicina
LIM/66, Hospital das Clínicas, Faculdade de Medicina
13 resultados
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- Potentially inappropriate medications in older adults visiting a geriatric emergency department(2022) MARTINI, Isadora D.; CORREA, Fabiane G.; CASTELO, Pedro R.; MORINAGA, Christian V.; GIL-JUNIOR, Luiz A.; ALIBERTI, Marlon J. R.; CURIATI, Pedro K.; AVELINO-SILVA, Thiago J.
- Reply to: Comment on: Potentially inappropriate medications in older adults visiting a geriatric emergency department(2022) MARTINI, Isadora D.; ALIBERTI, Marlon J. R.; AVELINO-SILVA, Thiago J.; CURIATI, Pedro K.
- Prediction of intensive care admission and hospital mortality in COVID-19 patients using demographics and baseline laboratory data(2023) AVELINO-SILVA, Vivian I.; AVELINO-SILVA, Thiago J.; ALIBERTI, Marlon J. R.; FERREIRA, Juliana C.; COBELLO JUNIOR, Vilson; SILVA, Katia R.; POMPEU, Jose E.; ANTONANGELO, Leila; MAGRI, Marcello M.; BARROS FILHO, Tarcisio E. P.; SOUZA, Heraldo P.; KALLAS, Esper G.Introduction: Optimized allocation of medical resources to patients with COVID-19 has been a critical concern since the onset of the pandemic.Methods: In this retrospective cohort study, the authors used data from a Brazilian tertiary university hospital to explore predictors of Intensive Care Unit (ICU) admission and hospital mortality in patients admitted for COVID19. Our primary aim was to create and validate prediction scores for use in hospitals and emergency departments to aid clinical decisions and resource allocation. Results: The study cohort included 3,022 participants, of whom 2,485 were admitted to the ICU; 1968 survived, and 1054 died in the hospital. From the complete cohort, 1,496 patients were randomly assigned to the derivation sample and 1,526 to the validation sample. The final scores included age, comorbidities, and baseline laboratory data. The areas under the receiver operating characteristic curves were very similar for the derivation and validation samples. Scores for ICU admission had a 75% accuracy in the validation sample, whereas scores for death had a 77% accuracy in the validation sample. The authors found that including baseline flu-like symptoms in the scores added no significant benefit to their accuracy. Furthermore, our scores were more accurate than the previously published NEWS-2 and 4C Mortality Scores.Discussion and conclusions: The authors developed and validated prognostic scores that use readily available clinical and laboratory information to predict ICU admission and mortality in COVID-19. These scores can become valuable tools to support clinical decisions and improve the allocation of limited health resources.
- The long and winding road of COVID-19 in survivors of hospitalisation: Symptoms trajectory and predictors of long COVID(2023) DIAS, Murilo B.; MEDEIROS, Ana Paula V.; MELO, Sarah S. de; FONSECA, Cecilia S.; JACOB-FILHO, Wilson; AVELINO-SILVA, Thiago J.; ALIBERTI, Marlon J. R.
- Twelve Months and Counting: Following Clinical Outcomes in Critical COVID-19 Survivors(2023) TANIGUCHI, Leandro U.; ALIBERTI, Marlon J. R.; DIAS, Murilo B.; JACOB-FILHO, Wilson; AVELINO-SILVA, Thiago J.Rationale: Recent reports suggest that patients with severe coronavirus disease (COVID-19) often experience long-term consequences of the infection. However, studies on intensive care unit (ICU) survivors are underrepresented. Objectives: We aimed to explore 12-month clinical outcomes after critical COVID-19, describing the longitudinal progress of disabilities, frailty status, frequency of cognitive impairment, and clinical events (rehospitalization, institutionalization, and falls). Methods: We performed a prospective cohort study of survivors of COVID-19 ICU admissions in Sao Paulo, Brazil. We assessed patients every 3 months for 1 year after hospital discharge and obtained information on 15 activities of daily living (basic, instrumental, and mobility activities), frailty, cognition, and clinical events. Results: We included 428 patients (mean age of 64 yr, 61% required invasive mechanical ventilation during ICU stay). The number of disabilities peaked at 3 months compared with the pre-COVID-19 period (mean difference, 2.46; 99% confidence interval, 1.94-2.99) and then decreased at 12 months (mean difference, 0.67; 99% confidence interval, 0.28-1.07). At 12-month follow-up, 12% of patients were frail, but half of them presented frailty only after COVID-19. The prevalence of cognitive symptoms was 17% at 3 months and progressively decreased to 12.1% (P = 0.012 for trend) at the end of 1 year. Clinical events occurred in all assessments. Conclusions: Although a higher burden of disabilities and cognitive symptoms occurred 3 months after hospital discharge of critical COVID-19 survivors, a significant improvement occurred during the 1-year follow-up. However, one-third of the patients remained in worse conditions than their pre-COVID-19 status.
- Delirium and Adverse Outcomes in Hospitalized Patients withCOVID-19(2020) GARCEZ, Flavia B.; ALIBERTI, Marlon J. R.; POCO, Paula C. E.; HIRATSUKA, Marcel; TAKAHASHI, Silvia de F.; COELHO, Venceslau A.; SALOTTO, Danute B.; V, Marlos L. Moreira; JACOB-FILHO, Wilson; AVELINO-SILVA, Thiago J.BACKGROUND Little is known about the association between acute mental changes and adverse outcomes in hospitalized adults with COVID-19. OBJECTIVES To investigate the occurrence of delirium in hospitalized patients with COVID-19 and explore its association with adverse outcomes. DESIGN Longitudinal observational study. SETTING Tertiary university hospital dedicated to the care of severe cases of COVID-19 in Sao Paulo, Brazil. PARTICIPANTS A total of 707 patients, aged 50 years or older, consecutively admitted to the hospital between March and May 2020. MEASUREMENTS We completed detailed reviews of electronic medical records to collect our data. We identified delirium occurrence using the Chart-Based Delirium Identification Instrument (CHART-DEL). Trained physicians with a background in geriatric medicine completed all CHART-DEL assessments. We complemented our baseline clinical information using telephone interviews with participants or their proxy. Our outcomes of interest were in-hospital death, length of stay, admission to intensive care, and ventilator utilization. We adjusted all multivariable analyses for age, sex, clinical history, vital signs, and relevant laboratory biomarkers (lymphocyte count, C-reactive protein, glomerular filtration rate, D-dimer, and albumin). RESULTS Overall, we identified delirium in 234 participants (33%). On admission, 86 (12%) were delirious. We observed 273 deaths (39%) in our sample, and in-hospital mortality reached 55% in patients who experienced delirium. Delirium was associated with in-hospital death, with an adjusted odds ratio of 1.75 (95% confidence interval = 1.15-2.66); the association held both in middle-aged and older adults. Delirium was also associated with increased length of stay, admission to intensive care, and ventilator utilization. CONCLUSION Delirium was independently associated with in-hospital death in adults aged 50 years and older with COVID-19. Despite the difficulties for patient care during the pandemic, clinicians should routinely monitor delirium when assessing severity and prognosis of COVID-19 patients.
- Palliative care in Hospitalized Middle-Aged and Older Adults With COVID-19(2022) ALMEIDA, Lyna Kyria Rodrigues; AVELINO-SILVA, Thiago J.; SILVA, Debora Carneiro de Lima e; CAMPOS, Bruna A.; VARELA, Gabriela; FONSECA, Cristina Mara Baghelli; AMORIM, Victor Lp; PIZA, Felipe Maia de Toledo; ALIBERTI JR., Marlon; DEGANI-COSTA, Luiza HelenaContext. As COVID-19 overwhelms health systems worldwide, palliative care strategies may ensure rational use of resources while safeguarding patient comfort and dignity. Objective. To describe palliative care practices in hospitalized middle-aged and older adults in two of the largest COVID-19 treatment centers in Sao Paulo, Brazil. Methods. Retrospective cohort. Eligible patients were those aged 50 years or older hospitalized between March and May 2020 with a laboratory confirmation of SARS-CoV-2 infection. Palliative care implementation was defined as present if medical notes indicated a decision to limit escalation of life support measures, or when opioids or sedatives were prescribed for palliative management of symptoms. Results. We included 1162 participants (57% male, median 65 years). Overall, 21% were frail and 54% were treated in intensive care units, but only 17% received palliative care. Stepwise logistic regression demonstrated that age >= 80 years, dementia, history of stroke or cancer, frailty, having a PaO2/FiO(2)<200 or a C-reactive protein >= 150mg/dL at admission predicted palliative care implementation. Patients placed under palliative care stayed longer (13 vs.11 days) and were more likely to die in hospital (86 vs.27%). They also spent more days in ICU and received vasoactive drugs, hemodialysis, and invasive ventilation more frequently. Conclusions. One in five middle-aged and older adults hospitalized with COVID-19 received palliative care in our cohort. Patients who were very old, multimorbid, frail, and had severe COVID-19 were more likely to receive palliative care. However, it was often delayed until advanced and invasive life support measures had already been implemented.
- COVID-19 is not over and age is not enough: Using frailty for prognostication in hospitalized patients(2021) ALIBERTI, Marlon Juliano Romero; SZLEJF, Claudia; AVELINO-SILVA, Vivian I.; SUEMOTO, Claudia Kimie; APOLINARIO, Daniel; DIAS, Murilo Bacchini; GARCEZ, Flavia Barreto; TRINDADE, Carolina B.; AMARAL, Jose Renato das Gracas; MELO, Leonardo Rabelo de; AGUIAR, Renata Cunha de; COELHO, Paulo Henrique Lazzaris; HOJAIJ, Naira Hossepian Salles de Lima; SARAIVA, Marcos Daniel; SILVA, Natalia Oliveira Trajano da; JACOB-FILHO, Wilson; AVELINO-SILVA, Thiago J.Background Frailty screening using the Clinical Frailty Scale (CFS) has been proposed to guide resource allocation in acute care settings during the pandemic. However, the association between frailty and coronavirus disease 2019 (COVID-19) prognosis remains unclear. Objectives To investigate the association between frailty and mortality over 6 months in middle-aged and older patients hospitalized with COVID-19 and the association between acute morbidity severity and mortality across frailty strata. Design Observational cohort study. Setting Large academic medical center in Brazil. Participants A total of 1830 patients aged >= 50 years hospitalized with COVID-19 (March-July 2020). Measurements We screened baseline frailty using the CFS (1-9) and classified patients as fit to managing well (1-3), vulnerable (4), mildly (5), moderately (6), or severely frail to terminally ill (7-9). We also computed a frailty index (0-1; frail >0.25), a well-known frailty measure. We used Cox proportional hazards models to estimate the association between frailty and time to death within 30 days and 6 months of admission. We also examined whether frailty identified different mortality risk levels within strata of similar age and acute morbidity as measured by the Sequential Organ Failure Assessment (SOFA) score. Results Median age was 66 years, 58% were male, and 27% were frail to some degree. Compared with fit-to-managing-well patients, the adjusted hazard ratios (95% confidence interval [CI]) for 30-day and 6-month mortality were, respectively, 1.4 (1.1-1.7) and 1.4 (1.1-1.7) for vulnerable patients; 1.5 (1.1-1.9) and 1.5 (1.1-1.8) for mild frailty; 1.8 (1.4-2.3) and 1.9 (1.5-2.4) for moderate frailty; and 2.1 (1.6-2.7) and 2.3 (1.8-2.9) for severe frailty to terminally ill. The CFS achieved outstanding accuracy to identify frailty compared with the Frailty Index (area under the curve = 0.94; 95% CI = 0.93-0.95) and predicted different mortality risks within age and acute morbidity groups. Conclusions Our results encourage the use of frailty, alongside measures of acute morbidity, to guide clinicians in prognostication and resource allocation in hospitalized patients with COVID-19.
- Unplanned ICU admissions and implications for adverse outcomes in a prospective cohort of older patients admitted through the emergency department(2023) MACHADO, Fernando P.; ALIBERTI, Marlon J. R.; SILVA, Vinicius B. O.; MORINAGA, Christian V.; AVELINO-SILVA, Thiago J.; CURIATI, Pedro K.
- 10-Minute Targeted Geriatric Assessment Predicts Disability and Hospitalization in Fast-Paced Acute Care Settings(2019) ALIBERTI, Marlon J. R.; COVINSKY, Kenneth E.; APOLINARIO, Daniel; SMITH, Alexander K.; LEE, Sei J.; FORTES-FILHO, Sileno Q.; MELO, Juliana A.; SOUZA, Natalia P. S.; AVELINO-SILVA, Thiago J.; JACOB-FILHO, WilsonBackground: Limited time and resources hinder the use of comprehensive geriatric assessment in acute contexts. We investigated the predictive value of a 10-minute targeted geriatric assessment (10-TaGA) for adverse outcomes over 6 months among acutely ill older outpatients. Methods: Prospective study comprising 819 acutely ill outpatients (79.2 +/- 8.4 years; 63% women) in need of intensive management (eg, intravenous therapy, laboratory test, radiology) to avoid hospitalization. The 10-TaGA provided a validated measure of cumulative deficits. Previously established 10-TaGA cutoffs defined low (0-0.29), medium (0.30-0.39), and high (0.40-1) risks. To estimate whether 10-TaGA predicts new dependence in activities of daily living and hospitalization over the next 6 months, we used hazard models (considering death as competing risk) adjusted for standard risk factors (sociodemographic factors, Charlson comorbidity index, and physician estimates of risk). Differences among areas under receiver operating characteristic curves (AUROC) examined whether 10-TaGA improves outcome discrimination when added to standard risk factors. Results: Medium- and high-risk patients, according to 10-TaGA, presented a higher incidence of new activities of daily living dependence (21% vs 7%, adjusted subhazard ratio [aHR] = 2.4, 95% CI = 1.3-4.5; 40% vs 7%, aHR = 5.0, 95% CI = 2.8-8.7, respectively) and hospitalization (27% vs 13%, aHR = 2.0, 95% CI = 1.2-3.3; 37% vs 13%, aHR = 2.9, 95% CI = 1.8-4.6, respectively) than low-risk patients. The 10-TaGA remarkably improved the discrimination of models that incorporated standard risk factors to predict new activities of daily living dependence (AUROC = 0.76 vs 0.71, p <.001) and hospitalization (AUROC = 0.71 vs 0.68, p <.001). Conclusions: The 10-TaGA is a practical and efficient comprehensive geriatric assessment tool that improves the prediction of adverse outcomes among acutely ill older outpatients.