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Background: MELD and Child-Pugh scores have traditionally been used as prognostic indicators in patients with cirrhosis. Albumin infusions in outpatients have been associated with improved outcomes, but not in transplant waitlisted patients or inpatients. This aim of this study was to assess whether low serum albumin (sAlb) on admission alone is a poor prognostic indicator among cirrhotic inpatients from a new multi-national cohort. Method(s): The CLEARED study is a global study that enrolled consecutive non-electively admitted inpatients without organ transplant or COVID-19 from 6 continents. Admission demographics, medical history, laboratory data, inpatient course, death/hospice transfer and mortality at 30 days post-discharge were recorded. Patients were divided into 3 groups: sAlb <28gm/L(A), sAlb >=28 but <35gm/L (B), and sAlb>=35gm/L (C) were compared. Multi-variable logistic regression was performed using inpatient mortality and overall 30-day mortality as outcomes. Result(s): 2429 patients were enrolled from 21 countries worldwide. The distribution was A:49%, B:39%, C:12%. Gp A patients were significantly younger (54yrs vs. 57yrs vs 58yrs p<0.0001) but with similar gender distribution, and higher MELD-Na score of 25 vs. 20 vs. 17 (p<0.0001). Gp A patients were more likely to have alcohol as etiology of cirrhosis (49% vs. 45% vs 38%, p=0.004), and were more likely to have either infection (27% vs. 18% vs. 13%, p<0.0001), HE (39% vs. 33% vs. 23%, p=0.005) or fluid related issues as a reason for admission (p<0.0001). More patients in Gp A received albumin infusion during their hospital stay (120gm vs. 100gm vs. 100gm p=0.0004), mostly for the indications of AKI (47% vs. 49% vs. 47%, p=0.79) and performance of large volume paracentesis (44% vs. 42% vs. 41%, p=0.80), followed by bacterial peritonitis indication (22% vs. 17% vs. 11%, p=0.01). Group A patients had longer hospital stays (9 days vs. 8 days vs. 7 days (p<0.001), but similar ICU transfer (23% vs. 22% vs. 20%, p=0.55). group A patients were more likely to die while inpatients (19% vs. 11% vs. 5%, p<0.0001), or by 30 days post-discharge (29% vs. 20% vs. 9%, p<0.0001). Table shows the admission variables associated with a poor outcome. Conclusion(s): Hypoalbuminemia is extremely common among admitted cirrhotic patients, with sAlb of <28gm/L occurring in almost half. Together with MELD-Na score and infection at admission, a low sAlb is associated with a poor outcome in these patients. Future studies will need to validate these findings and to assess whether albumin infusions will improve the outcome of these patients. (Figure Presented).
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Background: Although cirrhosis is a major cause of mortality worldwide, there could be disparities in outcomes. This needs a global consortium to study disparities in inpatient cirrhosis care Aim: Define the impact of location in prediction of outcomes in inpts with cirrhosis. Method(s): CLEARED prospectively enrolled non-electively admitted cirrhosis pts without COVID from all continents. To ensure equity, we allowed only 50 pts/site. Admission details, cirrhosis history, inpatient & 30-day course were recorded. World bank classification of low/low middle income (LMI), upper middle (UMI) & High income (HI) were used. Cirrhosis details, inpatient & 30-day outcomes were compared between groups. Multi-variable regression was performed using inpatient & 30-day mortality as outcomes. Result(s): 2758 pts from 21 countries from all continents, including Africa & Australia, were included.727 were L/LMI, 1050 UMI & 981 pts were from HICs. More men & younger pts were in LMI. Cirrhosis details: More pts in HI gp had 6M hospitalizations & infections, HE & ascites while prior variceal bleeding was higher in LMI . Prior HCC & transplant listings were lower in LMI but similar in UMI/HI. Alcohol & NASH was highest in HI. Viral hepatitis & cryptogenic were highest in UMI.Admissions: Admission MELD was highest in LMI. LMI pts were admitted more for GI Bleed, HE, & DILI, while anasarca & HBV flares were higher in UMI. Higher SBP (36% vs 24% vs 21% p<0.0001) & lowest skin/soft-tissue infections were in LMI (5% vs 5% vs 10% p=0.008);rest were similar. Nosocomial infections, driven by UTI were highest in LMI & HI pts (15% vs 14% vs 11% UMI, p=0.03). Admission diuretics, PPIs, Lactulose & statins were highest & antivirals lower in HI. SBP prophylaxis & rifaximin were highest in LMI pts. Outcome(s): More LMI pts needed ICU & had more organ failures (Fig B). Discharge MELD was highest in LMI. In-hospital mortality was highest & transplant lowest in LMI. This extended to 30-day mortality & transplant in LMI patients vs HI pts.Regression: In-hospital mortality was linked with age, infections, MELD & being in a LMI/UMI vs HIC while being on a transplant list, diabetes, & SBP prophylaxis were protective (Fig C). 30-day mortality predicted by age, ascites, HCC, discharge MELD, organ failures, LMI/UMI vs HIC but rifaximin was protective(Fig D). In-hospital transplant was higher with high MELD, admission rifaximin & listed pts &lower in LMI (OR 0.26) & UMI (OR 0.22) & age. 30-day transplant was higher in those with hyponatremia, ascites & HRS, on the list & on rifaximin and lower in LMI (OR 0.24) & UMI (OR 0.59) vs HI. Conclusion(s): In a global study of inpatients with cirrhosis, there were major differences in outcomes. Not being in a high-income country significantly increased the risk of inpatient and 30-day mortality independent of demographics, medications, in-hospital course, and cirrhosis severity likely due to disparities in access to transplant, which should be accounted for in global models. (Figure Presented).
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Background and aims: A global study with equitable participation for cirrhosis and chronic liver disease (CLD) outcomes is needed. We initiated the Chronic Liver disease Evolution And Registry for Events and Decompensation (CLEARED) study to provide this global perspective. Aim to evaluate determinants of inpatient mortality and organ dysfunction in a multi-center worldwide study. Method: We prospectively enrolled pts with CLD/Cirrhosis >18 years without organ transplant or COVID-19 who were admitted non-electively. To maintain equity in outcome analysis, a maximum of 50 pts/site were allowed. Data for admission variables, hospital course, and inpatient outcomes (ICU, death, organ dysfunction [ODF]) were recorded. This was analyzed for death and ODs using significant variables on admission and including World Bank classification of low/middle-income countries (LMIC). A model for in-hospital mortality for all variables during the hospital course, including ODs) was analyzed. Results: 1383 pts (55 ± 13 yrs, 64% men, 39% White, 30% Asian, 10% Hispanic, 9% Black, 12% other) were enrolled from 49 centers (Fig A). 39% were from high-income while the rest were from LMICs. Admission MELDNa 23 (6–40) with history in past 6 months of hospitalizations 51%, infections 25%, HE 32%, AKI 23%, prior LVP 15%, hydrothorax 8% and HCC 4%. Leading etiologies were Alcohol 46% then NASH 23%, HCV 11% and HBV 13%. Most were on lactulose 52%, diuretics 53%, PPI 49% and statins 11%, SBP prophylaxis 16%, beta-blockers 35% and rifaximin 31%. 90% were admitted for liver-related reasons;GI bleed 30%, HE 34%, AKI 33%, electrolyte issues 30%, anasarca 24% and 25% admission infections. In-hospital course: Median LOS was 7 (1–140) days with 25% needing ICU. 15% died in hospital, 3% were transplanted, 46% developed AKI,15% grade 3–4 HE, 14% shock, 13% nosocomial infections and 13% needed ventilation. Logistic Regression: Fig B shows that liver-related/unrelated factors on admission which predicted in-hospital mortality and development of organ dysfunction with MELDNa and Infections being common among all models. Nosocomial infections and organ dysfunctions predicted mortality when all variables were considered. High-income countries had better mortality outcomes likely due to transplant and ICU availability. AUCs were >0.75 (Figure Presented) Conclusion: In this worldwide equitable experience, admission cirrhosis severity and infections are associated with inpatient outcomes, which are greater in low-income settings. Liver-related and unrelated factors and regional variations are important in defining critical care goals and outcome models in inpatients with cirrhosis.
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Introduction: COVID-19 has been a multi-dimensional challenge for humanity, even more so for decision-makers responsible for acting in an accurate and timely manner to confront it. In Peru, with is a current favorable trend of the Pandemic, the spread of the Delta variant is imminent, hence the need for predictive information that makes it possible to make early decisions to mitigate its effects. Objective: To simulate scenarios applying the physical-mathematical modeling to predict the behavior of COVID-19 in Peru and facilitate decision-making. Material and Methods: Physical-mathematical modeling using MATLAB software tools and functions. Results: Determination of the behavior of the main variables associated with COVID-19 in Peru;physical-mathematical modeling based on the classic SIR with new compartments related to vaccination and those exposed, as well as its adjustment to the data from Peru;simulation of scenarios including the Delta variant for deceased persons, cumulative number of infected individuals, and infection in vaccinated and unvaccinated individuals. Conclusions: The model conceived for the simulation of COVID-19 evolution scenarios demonstrated its ability to predict the behavior of the most important variables that determine such evolution in Peru;another wave of infections may occur and cumulative figures between 2.9 and 3.36 million infected individuals and between 215 and 255 thousand deaths may be reached. The main mitigation strategies should be aimed at guaranteeing social distancing and isolation, as well as increasing the vaccination regimen. © 2021 Universidad de Ciencias Medicas de La Hab. All rights reserved.
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Background: Daily functional capacity is a major determinant of outcomes in patients with chronic medical conditions. Given that it can be affected by disease-specific factors as well as physical and cognitive impairment, it may be of increasing relevance in patients with cirrhosis given the changing demographics and increasing co-existing conditions including HE and physical frailty. An integrated multi-site approach combining cirrhosis-related factors, comorbidities, cognitive function, and frailty metrics is needed. Aim: To determine the integrated effect of frailty and CHE on functional capacity in outpatients with cirrhosis. Methods: NACSELD-3 (North American Consortium for the Study of End-Stage Liver Disease) is a new cohort of outpatients with cirrhosis recruited from 11 centers across North America. We enrolled pts able to consent, without HIV/illicit drug use or current alcohol misuse. Demographics, cirrhosis severity/history, comorbidities, medications were recorded. DASI (Duke Activity Status Index, Low=worse), studies that assess functional capacity, Liver frailty index instruments (LFI, high=worse) & EncephalApp Stroop (High time=worse) were administered. Norms were used to classify pts as having CHE on EncephalApp & frailty on LFI. Pts divided into having none, either or both CHE & frailty. Regression analyses were performed for DASI using all clinical variables collected. Results: Demographics: 220 patients (61.7±10.6 yrs, 74% men, 76% White, 6% Latinx) were enrolled;EncephalApp & LFI were complete in 182 pts (redgreen color blindness, logistic issues or COVID restrictions) Cirrhosis details: Major etiologies were 37% alcohol, 26% NAFLD, 17% HCV and 10% HCV+alcohol. Mean MELD was 13.9±8.5, 36% had prior HE, and 19% had difficult to control ascites. Mean Charlson comorbidity index was 5.1±2.2 Cognition, frailty and DASI: EncephalApp total was 184.2±55.6 seconds and 148 (64%) pts had CHE. Mean LFI score was 3.89±0.63 and 37 (16%) were deemed frail. 49 (27%) had neither CHE nor frailty, 104 (58%) had either CHE or Frailty , and 26 (15%) had both (Fig A). EncephalApp & LFI were positively correlated (r=0.36, p<0.001) and both were correlated with DASI (EncephalApp r=-0.33, LFI r=-0.27, both p<0.001). DASI was lower with both CHE & Frailty (Fig B). Regression: Variables associated with lower DASI (poor capacity) were higher MELD score (T-value -2.1, p=0.03), higher CCI (T-value -3.6, p<0.0001) and being frail+CHE versus either or none (T-value -2.6, p=0.01). No interaction between LFI and EncephalApp was seen. Conclusion: In this multi-center experience combined frailty and covert hepatic encephalopathy and cirrhosis-unrelated comorbidities significantly add to MELD score in predicting functional capacity in outpatients with cirrhosis.
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Background: There are not specific information about otucomes of COVID-19 infection in patients with breast cancer. We aimed to describe the outcomes in this population in our national cohort of patients with cancer and infection for COVID-19. Methods: ACHOCC-19B registry is a multicenter observational study composed of a cross-sectional and a prospective cohort component. Eligibility criteria were the diagnosis of breast cancer and COVID-19 infection confirmed with RT-PCR. Follow-up of 30 days was completed. Clinical data were extracted of the multicentric register of cancer and covid-19 in Colombia (ACHOCC-19), collected from Apr 1 until Oct 31, 2020. The primary outcome was 30-day mortality from all causes and secondary outcome was asymptomatic disease. Associations between demographic or clinical characteristics and outcomes were measured with odds ratios (ORs) with 95% CIs using multivariable logistic regression. Results: 132 patients were included(18,5% of global ACHOCC-19 cohort). 18,2% died and 25,8% was asymptomatic. In relation to the patients who died vs did not died, 68 vs 66% were > 50 years, 20 vs 10,2% with obesity, 32 vs 51,4% without comorbidities: 24 vs 12% with Diabetes, 56 vs 29% arterial Hypertension, 17,75 vs 3.88% ECOG >2, 50 vs 12,5% progressive cancer, 20 vs 5,6% bacterial coinfection, 65 vs 25,2% received antibiotic and 68 vs 19% steroids for Covid-19 infection. 11.3% had severe infection and received ventilatory support and 66% died. About the asymptomatic patients 74% were > 50 years, 2,9% had obesity, 56% without comorbidities, 56% with ECOG 0 and 17,6% had metastatic disease. In the logistic regression analysis, age > 50 years (OR 2,7 95% 0,54-13,81), >2 comorbidities (OR 3,48 95% 0,26-45,71), progressive disease (OR 3,52 95% 0,47-26,57), steroids (OR 6,62 95% 1,5-26,6) and antibiotic treatment for Covid19 (OR 6,88 95% 1,60-29,76) behaved as a risk factors for mortality, but only steroids and antibiotic was statistically significant. Conclusions: In our study, breast cancer patients have high mortality by Covid-19 infection. Age, comorbidities, ECOG >2, progressive disease, and use of antibiotic and steroids are factors for worse prognosis. Legal entity responsible for the study: The authors. Funding: Has not received any funding. Disclosure: All authors have declared no conflicts of interest.
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Background: Cancer has been described as a risk factor for worse prognosis in people with Covid-19. However, there are few studies informing on the characteristics of cancer patients that have asymptomatic SARS-cov2 infection. The ACHOCC-19 study included asymptomatic patients. Methods: Analytical cohort study of patients with cancer and SARScov2 infection in Colombia. From April 1 to October 31, 2020, we collected data on demographic and clinical variables related to cancer and COVID-19 infection. We describe the characteristics and outcomes of patients who had no symptoms of COVID19. Association between outcomes and prognostic variables was analyzed using logistic regression models. Results: We included 742 patients, of which 205 (27.6%) were asymptomatic. Of these 62.2% were older than 61 years, 66% were women, 1.42% were smokers. The most frequent malignancy was breast cancer (25%), followed by colon-rectum (14.6%), sarcoma/soft tissues (5.66%) and lung cancer (5.19%). Patients were more likely to be asymptomatic if they had fewer comorbidities (0-1 comorbidities: 84% asymptomatic, 2 comorbidities: 10.85%, more than 2 comorbidities: 5.15%). 90.5% lived in urban areas and 53.37% had low income. 35.4% of patients had metastatic disease, 8.7% had progressive cancer, 40% had stable disease or partial response. No patient had an ECOG PS of 4 or more, and only 1.91% had ECOG 3. In logistic regression analysis statistically significant associations for having symptomatic disease included: man, presence of 1, 2 or > 2 comorbidities, ECOG 1,2 or 3 and cancer in progression. On the other hand, the statistically significant ORs for having asymptomatic disease were age between 18 and 30 years old, cancer in remission and receiving non-cytotoxic treatment. Table sumarizes ORs and their respective 95% CIs of the variables adjusted in the logistic regression model. Conclusions: In our stumdy, cancer patients had a higher probability of asymptomatic COVID-19 infection if they were women, between the ages of 18 and 30 years, had cancer in remission , ECOG 0 and no comorbidities. This is the first cohort of patients with cancer and asymptomatic covid 19 with a significant sample size in Latin America.
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Vaccination-associated adenopathy is a frequent imaging finding after administration of COVID-19 vaccines that may lead to a diagnostic conundrum in patients with manifest or suspected cancer, in whom it may be indistinguishable from malignant nodal involvement. To help the medical community address this concern in the absence of studies and evidence-based guidelines, this special report offers recommendations developed by a multidisciplinary panel of experts from three of the leading tertiary care cancer centers in the United States. According to these recommendations, some routine imaging examinations, such as those for screening, should be scheduled before or at least 6 weeks after the final vaccination dose to allow for any reactive adenopathy to resolve. However, there should be no delay of other clinically indicated imaging (eg, for acute symptoms, short-interval treatment monitoring, urgent treatment planning or complications) due to prior vaccination. The vaccine should be administered on the side contralateral to the primary or suspected cancer, and both doses should be administered in the same arm. Vaccination information-date(s) administered, injection site(s), laterality, and type of vaccine-should be included in every preimaging patient questionnaire, and this information should be made readily available to interpreting radiologists. Clear and effective communication between patients, radiologists, referring physician teams, and the general public should be considered of the highest priority when managing adenopathy in the setting of COVID-19 vaccination.