A modified Hospital Frailty Risk Score for patients with cirrhosis undergoing abdominal operations.

BACKGROUND AND AIMS: Existing tools for perioperative risk stratification in patients with cirrhosis do not incorporate measures of comorbidity. The Hospital Frailty Risk Score (HFRS) is a widely used measure of comorbidity burden in administrative dataset analyses. However, it is not specific to patients with cirrhosis, and application of this index is limited by its complexity. APPROACH AND RESULTS: Adult patients with cirrhosis who underwent nontransplant abdominal operations were identified from the National Inpatient Sample, 2016-2018. Adjusted associations between HFRS and in-hospital mortality and length of stay were computed with logistic and Poisson regression. Lasso regularization was used to identify the components of the HFRS most predictive of mortality and develop a simplified index, the cirrhosis-HFRS. Of 10,714 patients with cirrhosis, the majority were male, the median age was 62 years, and 32% of operations were performed electively. HFRS was associated with an increased risk of both in-hospital mortality (OR=6.42; 95% CI: 4.93, 8.36) and length of stay (incidence rate ratio [IRR]=1.79; 95% CI: 1.72, 1.88), with adjustment. Using lasso, we found that a subset of 12 of the 109 ICD-10 codes within the HFRS resulted in superior prediction of mortality in this patient population (AUC = 0.89 vs. 0.79, p < 0.001). CONCLUSIONS: While the 109-component HFRS was associated with adverse surgical outcomes, 12 components accounted for much of the association between the HFRS and mortality. We developed the cirrhosis-HFRS, a tool that demonstrates superior predictive accuracy for in-hospital mortality and more precisely reflects the specific comorbidity pattern of hospitalized patients with cirrhosis undergoing general surgery procedures.

The association between mean arterial pressure and acute kidney injury reversal among patients with decompensated cirrhosis.

BACKGROUND AND AIMS: This study informs how mean arterial pressure (MAP) impacts acute kidney injury (AKI) recovery among all patients hospitalized with cirrhosis, regardless of etiology. APPROACH AND RESULTS: We identified incident AKI episodes among subjects in our cohort of patients with decompensated cirrhosis. AKI was defined as a ≥50% increase in creatinine from an outpatient baseline (≥7 days prior) that required hospitalization. Linear mixed effects models were completed to determine the impact between AKI recovery, MAP, and time. To determine the impact of MAP on AKI reversal, we completed time-dependent Cox regression models with time beginning at the time of peak creatinine and ending at death, discharge, or AKI reversal, among those hospitalized with AKI and those with persistent AKI (≥48 h) We identified 702 hospitalized patients with cirrhosis with AKI. We found those with AKI reversal had, on average, higher MAP (2.1 mm Hg, p <0.05) and a greater increase in MAP over time (0.1 mm Hg per hour, p <0.001). Among all 702 hospitalized patients with AKI and adjusted for confounders, each 5 mm Hg increase in MAP was associated with 1.07× the hazard of AKI reversal ( p <0.01). Similarly, among those with persistent AKI after adjusting for confounders, each 5 mm Hg increase in MAP was associated with a 1.19× greater likelihood of AKI reversal ( p <0.001). DISCUSSION: Our data demonstrate that MAP significantly increases the likelihood of AKI recovery regardless of severity or injury or AKI phenotype. We believe these data highlight the importance of MAP as a clinical tool to promote kidney function recovery among patients with cirrhosis hospitalized with AKI.

Opioid use and risks in candidates and recipients of liver transplant.

Opioid use is extremely prevalent among patients with cirrhosis and those who received liver transplant (LT), despite concerns regarding opioid-related risks in this population. While there are many theoretical risks of opioids in patients with hepatic dysfunction, there is limited evidence on the effect of opioid use on clinical outcomes in cirrhosis and patients before and after LT specifically. As a result, there is significant center-level variability in opioid-related practices and policies. The existing data-largely based on retrospective observational studies-do suggest that opioids are associated with increased health resource utilization pre-LT and post-LT and that they may precipitate HE in patients with cirrhosis and increase the risk of graft loss and death after LT. The strongest predictor of opioid use after LT is opioid use before transplant; thus, a focus on safe opioid use in the pretransplant and peritransplant periods is essential for minimizing opioid-related harms. We describe 3 strategies to guide LT providers including (1) improved characterization of pain, mental health symptoms, and opioid and polysubstance use; (2) minimization of opioid prescriptions for those at highest risk of adverse events; and (3) safe prescribing strategies for those who do use opioids and for the management of opioid use disorder. Ultimately, our goal is to improve the quality of life and transplant outcomes among patients with cirrhosis and those who received LT, particularly those living with concurrent pain, mental health, and substance use disorders.

Outpatient mean arterial pressure: A potentially modifiable risk for acute kidney injury and death among patients with cirrhosis.

Mean arterial blood pressure (MAP), which decreases as portal hypertension progresses, may be a modifiable risk factor among patients with cirrhosis. We included adults enrolled in the Functional Assessment in Liver Transplantation study. We completed latent class trajectory analyses to define MAP trajectories. We completed time-dependent Cox-regression analyses to test the association between outpatient MAP and 3 cirrhosis-related outcomes: (1) stage 2 acute kidney injury (AKI), defined as a ≥200% increase in serum creatinine from baseline; (2) a 5-point increase in the MELD-Na score, defined as the incidence of increase from initial MELD-Na; (3) waitlist mortality, defined as death on the waitlist. For each outcome, we defined MAP cut points by determining the maximally selected Log-rank statistic after univariable Cox-regression analyses. Among the 1786 patients included in this analysis, our latent class trajectory analyses identified 3 specific outpatient MAP trajectories: "stable-low," "stable-high," and "increasing-to-decreasing." However, >80% of patients were in a "stable-low" trajectory. We found in adjusted analyses that outpatient MAP was associated with each of our outcomes: Stage 2 AKI (adjusted hazard ratio 0.88 per 10 mm Hg increase in MAP [95% CI: 0.79-0.99]); 5-point increase in MELD-Na (adjusted hazard ratio: 0.91 [95% CI: 0.86-0.96]; waitlist mortality (adjusted hazard ratio: 0.89 [95% CI: 0.81-0.96]). For each outcome, we found that an outpatient MAP of 82 mm Hg was most associated with outcomes ( p <0.05 for all). Our study informs the association between outpatient MAP and cirrhosis-related outcomes. These findings, coupled with the identification of specific thresholds, lay the foundation for the trial of targeted outpatient MAP modulation in patients with cirrhosis.

The Complex Relationship Between Pain, Mental Health, and Quality-of-Life in Patients With Cirrhosis Undergoing Liver Transplant Evaluation.

GOALS AND BACKGROUND: Patients with cirrhosis undergoing liver transplant evaluation have high rates of pain and mental health comorbidities; both may significantly impair health-related quality of life (HRQL). We investigated the association between pain, anxiety/depression, and HRQL in this population. STUDY: In 62 patients with cirrhosis undergoing liver transplant evaluation, we performed 4 validated assessments to characterize: pain (Brief Pain Inventory-Short Form, BPI-SF), anxiety (Generalized Anxiety Disorder-7), depression (Patient Health Questionnaire-8), and liver-specific HRQL (Chronic Liver Disease Questionnaire). The presence of pain was determined using the BPI-SF screening question. Linear regression was used to identify demographic or clinical factors predictive of pain severity (PS) and interference (PI) and to evaluate the association between pain, anxiety/depression, and HRQL. RESULTS: Seventy-one percent of patients reported pain, 26% had clinical depression, and 24% had moderate-severe anxiety. Neither liver disease severity, nor its complications were associated with pain (PS or PI), but anxiety and depression were predictors of pain on bivariate analysis. Only depression remained a significant predictor of PS (b=0.28, P<0.05) and PI (b=0.30, P<0.05) in multivariable models. HRQL was inversely associated with PS, PI, depression, and anxiety, but only anxiety (b=-0.14, P=0.003) remained associated with HRQL in the adjusted model. CONCLUSIONS: Pain is present in over 70% of patients with cirrhosis undergoing liver transplant evaluation. Anxiety and depression were highly correlated with pain and appeared to be key drivers in predicting poor HRQL. Evaluating and managing mental health comorbidities should be explored as a strategy to improve HRQL in patients with cirrhosis and pain.

Association between protein-energy malnutrition and healthcare use among adult patients after liver transplantation: A retrospective cohort study.

BACKGROUND: Protein-energy malnutrition is associated with poor surgical outcomes in liver transplant patients, but its impact on healthcare use has not been precisely characterized. We sought to quantify the burden of protein-energy malnutrition in hospitalized patients undergoing liver transplantation. METHODS: Current Procedural Terminology codes were used to identify United States hospitalizations between 2011 and 2018 for liver transplantation using the Nationwide Inpatient Sample. Patients <18 years old were excluded. Protein-energy malnutrition was identified by International Classification of Diseases Ninth and Tenth Revision codes. Multivariable regression was used to determine associations between protein-energy malnutrition and hospital outcomes, including hospital length of stay and hospital charges/costs. RESULTS: Of 9856 hospitalizations, 2835 (29%) had protein-energy malnutrition. Patients with protein-energy malnutrition had greater comorbidity burden and in-hospital acuity (eg, dialysis, sepsis, vasopressors, or mechanical ventilation). The adjusted median difference of protein-energy malnutrition vs no protein-energy malnutrition for length of stay was 6.4 days (95% CI, 5.6-7.1; P < 0.001), for hospital charges was $108,063 (95% CI, $93,172-$122,953; P < 0.001), and for hospital costs was $23,636 (95% CI, $20,390-$26,882; P < 0.001). CONCLUSION: Among patients undergoing liver transplantation, protein-energy malnutrition was associated with increased length of stay and hospital charges/costs. The additional cost of protein-energy malnutrition to liver transplantation programs was $23,636 per protein-energy malnutrition hospitalization. Our data justify the development of and investment in personnel and programs dedicated to reversing-or even preventing-protein-energy malnutrition in patients awaiting liver transplantation.

The burden of significant pain in the cirrhosis population: Risk factors, analgesic use, and impact on health care utilization and clinical outcomes.

BACKGROUND: We aimed to characterize pain and analgesic use in a large contemporary cohort of patients with cirrhosis and to associate pain with unplanned health care utilization and clinical outcomes in this population. METHODS: We included all patients with cirrhosis seen in UCSF hepatology clinics from 2013 to 2020. Pain severity and location were determined using documented pain scores at the initial visit; "significant pain" was defined as moderate or severe using established cutoffs. Demographic, clinical, and medication data were abstracted from electronic medical records. Associations between significant pain and our primary outcome of 1-year unplanned health care utilization (ie, emergency department visit or hospitalization) and our secondary outcomes of mortality and liver transplantation were explored in multivariable models. RESULTS: Among 5333 patients with cirrhosis, 32% had a nonzero pain score at their initial visit and 25% had significant (ie moderate/severe) pain. Sixty percent of patients with significant pain used ≥1 analgesic; 34% used opioids. Patients with cirrhosis with significant pain had similar Model for End-Stage Liver Disease-Sodium scores (14 vs. 13), but higher rates of decompensation (65% vs. 55%). The most common pain location was the abdomen (44%). Patients with abdominal pain, compared to pain in other locations, were more likely to have decompensation (72% vs. 56%). Significant pain was independently associated with unplanned health care utilization (adjusted odds ratio: 1.3, 95% CI: 1.1-1.5) and mortality (adjusted hazard ratio: 1.4, 95% CI: 1.2-1.6). CONCLUSIONS: Pain among patients with cirrhosis is often not well-controlled despite analgesic use, and significant pain is associated with unplanned health care utilization and mortality in this population. Effectively identifying and treating pain are essential in reducing costs and improving quality of life and outcomes among patients with cirrhosis.