Patient-Reported Outcome Screens for Cognitive Dysfunction and Predicts Admissions in Cirrhosis.

INTRODUCTION: Hepatic encephalopathy (HE) is a frequent complication of cirrhosis, leading to preventable hospitalizations and increased mortality. Despite the availability of validated neuro-psychometric tests to diagnose HE, only 10% of clinicians regularly screen for HE due to lack of time, equipment, and trained personnel. MATERIALS AND METHODS: We studied the association between patient-reported cognitive function and the National Institutes of Health Toolbox Cognition Battery (a validated measure of HE) in patients with cirrhosis. A single-center prospective study of adult patients undergoing liver transplantation evaluation was performed from 10/2020 to 12/2021. Cognition was assessed using the National Institutes of Health Toolbox Cognition Battery and a brief Patient-Reported Outcomes Measurement Information System (PROMIS) survey. RESULTS: Twenty-three liver transplantation candidates were enrolled; the mean age was 56.4 (±9.7) years, 39% were female and the most common etiologies of cirrhosis were primary biliary cirrhosis/primary sclerosing cholangitis/overlap syndrome (30%), hepatitis C (22%) and alcohol-associated liver disease (22%). The mean MELD-Na was 14.9 (±6.4). The mean PROMIS Cognitive Function T-score (PROMISCF) was 49.2 (±9.6). The mean T-scores for the List Sort Working Memory test, Flanker Inhibitory Control and Attention test, and Pattern Comparison Processing Speed test were 46.4 (±9.9), 37.8 (±6.2), and 50.22 (±16.4), respectively. PROMISCF correlated with the List Sort Working Memory test (r = 0.45, P = .03). The mean hospitalization rate was 1.6 days admitted per month. On adjusted multivariate analysis, PROMISCF predicted total hospitalization days (P < .001), hospital admissions (P = .01), and hospitalization rate (P < .001). CONCLUSIONS: A brief survey can screen for HE and predict hospitalizations in patients with cirrhosis.

Brief PROMIS Assessment Screens for Frailty and Predicts Hospitalizations in Liver Transplant Candidates.

BACKGROUND: Frailty is prevalent in patients with end-stage liver disease and predicts waitlist mortality, posttransplant mortality, and frequency of hospitalizations. The Liver Frailty Index (LFI) is a validated measure of frailty in liver transplant (LT) candidates but requires an in-person assessment. METHODS: We studied the association between patient-reported physical function and LFI in a single-center prospective study of adult patients with cirrhosis undergoing LT evaluation from October 2020 to December 2021. Frailty was assessed with the LFI and 4-m gait speed. Patient-reported physical function was evaluated using a brief Patient-Reported Outcomes Measurement Information System (PROMIS) survey. RESULTS: Eighty-one LT candidates were enrolled, with a mean model of end-stage liver disease-sodium of 17.6 (±6.3). The mean LFI was 3.7 (±0.77; 15% frail and 59% prefrail) and the mean PROMIS Physical Function score was 45 (±8.6). PROMIS Physical Function correlated with LFI ( r = -0.54, P < 0.001) and 4-m gait speed ( r = 0.48, P < 0.001). The mean hospitalization rate was 1.1 d admitted per month. After adjusting for age, sex, and model of end-stage liver disease-sodium, patient-reported physical function-predicted hospitalization rate ( P = 0.001). CONCLUSIONS: This study suggests that a brief patient-reported outcome measure can be used to screen for frailty and predict hospitalizations in patients with cirrhosis.

Correlates of self-reported depressive symptoms: a study of older persons of Punjab, Pakistan.

This paper examines the prevalence and correlates of depressive symptoms among older persons of Punjab, the largest Province of Pakistan. Data were gathered from 4191 older persons aged 60+ using Probability Proportional to Size (PPS) of population. A version of the CES-D Scale adapted for low-literate populations was used to measure self reported depressive symptoms. Various independent factors, including socioeconomic factors, self-reported health conditions, and functional impairments were examined to see their net effect on depressive symptoms among older persons. Results of logistic regression analysis showed that region, area, living index, independent source of income, self-reported health conditions, and functional impairment were significant factors affecting self-reported depressive symptoms among older persons in Punjab. An important cross-cultural difference was a lower risk of depressive symptoms among older women, which may reflect the buffering effects of family co-residence and the position of seniors in extended families.

Classical Paroxysmal Nocturnal Hemoglobinuria Presenting With Severe Anemia and Pigmented Acute Kidney Injury.

Paroxysmal nocturnal hemoglobinuria is a rare form of intravascular hemolysis caused by an acquired deficiency of complement regulatory glycoproteins. In our case, a 53-year-old male presented with fatigue, discoloration of urine, and reduced urine output. Preliminary investigations showed severe anemia (3.7 g/dl) and hyperkalemia (7.6 mmol/L) in the setting of acute kidney injury, requiring urgent dialysis. Four units of packed cell volumes were transfused for the correction of anaemia. Following initial stabilization, flow cytometry and a fluorescein-labeled proaerolysin (FLAER) study showed a total deficiency of CD59 in 95.92% of granulocytes and a 97.14% deficiency in monocytes. A bone marrow biopsy showed erythroblast hyperplasia confirming the diagnosis of classical paroxysmal nocturnal hemoglobinuria. The patient was treated with steroids, androgens, and iron supplementation and made a complete recovery with a near-total resolution of his acute kidney injury. This paper aims to review the clinical features and investigations in order to focus on acute kidney injury as an outcome of paroxysmal nocturnal hemoglobinuria.

Use of vegetation health data for estimation of aus rice yield in bangladesh.

Rice is a vital staple crop for Bangladesh and surrounding countries, with interannual variation in yields depending on climatic conditions. We compared Bangladesh yield of aus rice, one of the main varieties grown, from official agricultural statistics with Vegetation Health (VH) Indices [Vegetation Condition Index (VCI), Temperature Condition Index (TCI) and Vegetation Health Index (VHI)] computed from Advanced Very High Resolution Radiometer (AVHRR) data covering a period of 15 years (1991-2005). A strong correlation was found between aus rice yield and VCI and VHI during the critical period of aus rice development that occurs during March-April (weeks 8-13 of the year), several months in advance of the rice harvest. Stepwise principal component regression (PCR) was used to construct a model to predict yield as a function of critical-period VHI. The model reduced the yield prediction error variance by 62% compared with a prediction of average yield for each year. Remote sensing is a valuable tool for estimating rice yields well in advance of harvest and at a low cost.