| Literature DB >> 35898947 |
Michael K Porayko1, Amy Articolo2, Wendy Cerenzia3, Brandon Coleman3, Daxa Patel2, Sylvie Stacy3.
Abstract
Purpose: Non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) are a part of a complex metabolic disease process requiring a multi-faceted and multidisciplinary management approach. This study was conducted to identify areas where medical education across a multidisciplinary team could be optimized in providing optimal care of patients with NAFLD/NASH.Entities:
Keywords: continuing medical education; educational needs; patient care; primary care; specialty care
Year: 2022 PMID: 35898947 PMCID: PMC9309172 DOI: 10.2147/JMDH.S367607
Source DB: PubMed Journal: J Multidiscip Healthc ISSN: 1178-2390
Clinician Respondent Demographics
| PCP (n = 318) | Hepatology (n = 57) | Gastroenterology (n = 156) | Endocrinology (n = 98) | |
|---|---|---|---|---|
| Role, % | ||||
| MD | 56% | 100% | 100% | 100% |
| NP | 26% | – | – | – |
| PA | 18% | – | – | – |
| Years in practice, mean | 21 | 15 | 21 | 19 |
| Practice location, % | ||||
| Urban | 34% | 75% | 49% | 54% |
| Suburban | 47% | 21% | 42% | 41% |
| Rural | 19% | 4% | 9% | 5% |
| Certified by American Board of Obesity Medicine, % | 16% | 28% | 14% | 17% |
| Overweight and obese patients, % | ||||
| Overweight (BMI of 25–29.9 kg/m2) | 44% | 42% | 45% | 42% |
| Obese (BMI ≥30 kg/m2) | 36% | 48% | 36% | 48% |
| Patients seen per week, mean | 84 | 71 | 87 | 85 |
| Patients seen with NAFLD per month, mean | 18 | 78 | 32 | 39 |
| NAFLD patients with NASH, % | 33% | 45% | 34% | 40% |
| Affiliated with academic institution, % | 14% | 67% | 23% | 42% |
Patient Screening and Evaluation
| PCP (n = 318) | Hepatology (n = 57) | Gastroenterology (n = 156) | Endocrinology (n = 98) | |
|---|---|---|---|---|
| Type 2 diabetes mellitus | 3.4 | 4.0 | 3.4 | 3.6 |
| Metabolic syndrome | 3.7 | 4.2 | 3.9 | 3.7 |
| Obesity | 3.7 | 3.9 | 3.8 | 3.7 |
| Fatigue | 2.8 | 2.3 | 2.4 | 2.4 |
| Upper abdominal pain | 3.4 | 2.6 | 2.6 | 3.1 |
| A family member with NAFLD | 3.4 | 3.1 | 2.7 | 3.2 |
| Ultrasound | 87% | 82% | 84% | 73% |
| Elastography | 11% | 65% | 53% | 28% |
| Serologic markers for NASH | 46% | 28% | 37% | 30% |
| Liver biopsy | 4% | 5% | 10% | 10% |
| CT | 8% | 7% | 1% | 2% |
| MRI | 2% | 7% | 4% | 4% |
| Referral to gastroenterologist or hepatologist† | 19% | - | - | 17% |
| Begin treatment without additional testing/referral | 3% | 0% | 0% | 8% |
| Case (continued): A liver ultrasound is performed and indicates moderate fatty liver. The patient’s FIB-4 score is in the indeterminant range for advanced fibrosis. Liver stiffness by vibration-controlled transient elastography is 11 kPa. | ||||
| Unsure | 5% | 2% | 1% | 5% |
| Not at all likely | 21% | 25% | 37% | 27% |
| Slightly likely | 23% | 18% | 22% | 19% |
| Moderately likely | 29% | 18% | 22% | 30% |
| Very likely | 20% | 26% | 16% | 14% |
| Extremely likely | 3% | 12% | 3% | 5% |
Notes: *Means of 1–5 scale: 1 = not at all likely, 5 = extremely likely. †Only an option for primary care and endocrinology clinicians.
Management Goals
| PCP (n = 318) | Hepatology (n = 57) | Gastroenterology (n = 156) | Endocrinology (n = 98) | |
|---|---|---|---|---|
| Weight loss | 1.9 | 1.7 | 1.5 | 1.6 |
| Improved control of diabetes | 2.3 | 2.4 | 2.2 | 2.3 |
| Improved lipid profile | 3.3 | 3.4 | 3.3 | 3.5 |
| NASH downstaging or regression in liver fibrosis | 3.4 | 3.0 | 3.3 | 3.0 |
| Symptom improvement | 4.1 | 4.5 | 4.7 | 4.5 |
| Less than 5% | 0% | 0% | 0% | 0% |
| 5% to 10% | 48% | 72% | 51% | 60% |
| 11% to 20% | 35% | 21% | 41% | 30% |
| 21% to 30% | 11% | 7% | 5% | 4% |
| No weight loss goal at this time | 3% | 0% | 1% | 4% |
| Other | 1% | 0% | 1% | 1% |
| Unsure | 3% | 0% | 1% | 1% |
| Less than 6.5% | 42% | 53% | 67% | 40% |
| 6.5% to 7.4% | 53% | 39% | 29% | 52% |
| 7.5% to 8.4% | 2% | 4% | 2% | 4% |
| 8.5% or greater | 0% | 0% | 0% | 0% |
| No A1c goal at this time | 1% | 2% | 0% | 0% |
| Other | 1% | 4% | 1% | 3% |
| Unsure | 1% | 0% | 1% | 1% |
Notes: *Choices were ranked 1 through 5, where 1 is the most important and 5 is the least important goal. Mean responses shown.
Management Approach for a Patient with Confirmed NASH via Liver Biopsy
| PCP (n = 221) | Hepatology (n = 48) | Gastroenterology (n = 126) | Endocrinology (n = 83) | |
|---|---|---|---|---|
| Drug therapy for diabetes control | 4.3 | 4.1 | 4.1 | 4.6 |
| Drug therapy for dyslipidemia | 4.2 | 4.1 | 4.0 | 4.4 |
| Drug therapy for NASH | 2.6 | 2.8 | 2.4 | 2.9 |
| Drug therapy for weight loss | 2.3 | 2.4 | 2.0 | 3.4 |
| Bariatric surgery | 2.2 | 2.4 | 2.3 | 2.7 |
| Drug therapy for diabetes control | 4.3 | 4.1 | 4.1 | 4.5 |
| Drug therapy for dyslipidemia | 4.2 | 4.1 | 4.0 | 4.3 |
| Drug therapy for NASH | 3.1 | 3.1 | 2.8 | 3.2 |
| Drug therapy for weight loss | 2.8 | 2.8 | 2.4 | 3.9 |
| Bariatric surgery | 2.9 | 3.3 | 3.2 | 3.4 |
| Drug therapy for diabetes control | 0 | 0 | 0 | −0.1 |
| Drug therapy for dyslipidemia | 0 | 0 | 0 | −0.1 |
| Drug therapy for NASH | 0.5 | 0.3 | 0.4 | 0.3 |
| Drug therapy for weight loss | 0.5 | 0.4 | 0.4 | 0.5 |
| Bariatric surgery | 0.7 | 0.9 | 0.9 | 0.7 |
Notes: *Means of 1–5 scale: 1 = not at all likely, 5 = extremely likely. Respondents indicating “unsure/defer to another specialist” were removed from analysis.
Barriers to Optimally Managing Patients with NASH
| PCP (n = 295) | Hepatology (n = 56) | Gastroenterology (n = 151) | Endocrinology (n = 92) | |
|---|---|---|---|---|
| Difficulty in establishing a diagnosis without biopsy | 2.6 | 2.0 | 2.3 | 2.8 |
| Lack of approved therapies for NASH treatment | 3.2 | 3.7 | 3.8 | 3.7 |
| Difficulty managing patients with co-morbidities | 3.1 | 2.7 | 3.2 | 2.9 |
| Difficulty in coordinating care between multiple clinicians | 2.5 | 2.6 | 2.6 | 2.4 |
| Limited time to spend educating patients about lifestyle modifications and treatment options | 3.0 | 2.8 | 2.9 | 2.9 |
| Poor patient adherence to lifestyle modifications and treatments | 3.8 | 3.6 | 3.9 | 3.8 |
Notes: *Means of 1–5 scale: 1 = not at all significant, 5 = extremely significant. Respondents indicating “unsure/defer to another specialist” were removed from analysis.
Multidisciplinary Teams and Referral
| PCP (n = 318) | Hepatology (n = 57) | Gastroenterology (n = 156) | Endocrinology (n = 98) | |
|---|---|---|---|---|
| Yes, dietitian or nutritionist | 59% | 72% | 54% | 50% |
| Yes, endocrinologist | 21% | 47% | 33% | – |
| Yes, gastroenterologist/ hepatologist | 64% | – | – | 67% |
| Yes, obesity specialist or bariatrician | 21% | 39% | 21% | 17% |
| Yes, primary care physician | 8% | 51% | 30% | 19% |
| Yes, other | 2% | 2% | 2% | 1% |
| No | 15% | 16% | 33% | 24% |
| Unsure | 8% | 7% | 8% | 5% |
| Any risk factors for NAFLD/NASH | 19% | 14% | ||
| Elevated liver enzymes in the context of risk factors for NAFLD/NASH | 53% | 55% | ||
| Any evidence of fatty liver by imaging | 22% | – | – | 25% |
| Fatty liver on imaging after other causes have been excluded | 40% | 40% | ||
| NAFLD at high risk for advanced fibrosis or cirrhosis | 91% | 88% | ||
| Other | 2% | 1% | ||
| None of these | 1% | 1% | ||
| Ordering diagnostic testing based on the specialist’s recommendations | 61% | 43% | ||
| Discussing treatment options with the patient | 52% | 51% | ||
| Oordinating care between multiple specialists | 80% | – | – | 47% |
| Reinforcing or modifying lifestyle management recommendations | 88% | 82% | ||
| Monitoring for treatment side effects and disease complications | 71% | 56% | ||
| Educating on tests or treatments for NASH | 60% | 51% | ||
| Monitoring for and managing drug side effects | 63% | 60% | ||
| Other | 0% | 4% | ||
| No ongoing role | 1% | 2% |
Note: *Only on primary care and endocrinology clinician surveys.
Guideline Use and Utility
| PCP (n = 318) | Hepatology (n = 57) | Gastroenterology (n = 156) | Endocrinology (n = 98) | |
|---|---|---|---|---|
| AASLD/ACG/AGA Joint Guideline | 34% | 86% | 84% | 22% |
| EASL-EASD-EASO Clinical Practice Guidelines | 16% | 33% | 18% | 30% |
| World Gastroenterology Organization (WGO) Global Guideline | 15% | 5% | 7% | 6% |
| Coverage policies or guidelines from healthcare payors | 18% | 7% | 7% | 14% |
| Guidelines developed by my institution or practice | 30% | 5% | 6% | 16% |
| Other | 5% | 0% | 1% | 8% |
| None | 24% | 4% | 7% | 33% |
| Not Applicable/have not used | 13% | 4% | 1% | 14% |
| Not at all useful | 2% | 5% | 3% | 10% |
| Slightly useful | 22% | 19% | 24% | 22% |
| Moderately useful | 33% | 40% | 40% | 29% |
| Very useful | 23% | 26% | 26% | 22% |
| Extremely useful | 6% | 5% | 6% | 2% |
Clinician Knowledge of Disease Pathophysiology and Emerging Therapies
| PCP (n = 318) | Hepatology (n = 57) | Gastroenterology (n = 156) | Endocrinology (n = 98) | |
|---|---|---|---|---|
| Insulin resistance | 68% | 95% | 89% | 84% |
| Oxidative stress | 45% | 81% | 71% | 75% |
| Proinflammatory cytokine production | 54% | 79% | 72% | 73% |
| Impaired GLP-1 secretion | 43% | 56% | 51% | 34% |
| Increased glucagon levels | 35% | 26% | 31% | 30% |
| De novo hepatic lipogenesis | 35% | 60% | 45% | 55% |
| Other | 0 | 4% | 1% | 0% |
| Unsure | 19% | 0% | 6% | 7% |
| Improving glycemic control | 4.0 | 4.0 | 3.7 | 4.4 |
| Improving cardiovascular outcomes | 3.6 | 3.4 | 3.4 | 4.1 |
| Improving microvascular outcomes | 3.6 | 3.5 | 3.3 | 3.7 |
| Assisting in weight loss | 3.4 | 3.2 | 3.2 | 4.1 |
| Decreasing mortality | 3.5 | 3.2 | 3.2 | 3.8 |
| Improving liver histology in NASH | 3.2 | 3.1 | 3.1 | 3.5 |
| Aldafermin | 1.2 | 1.9 | 1.4 | 1.2 |
| Aramchol | 1.2 | 2.0 | 1.4 | 1.3 |
| Belapectin | 1.2 | 1.7 | 1.4 | 1.3 |
| Cenicriviroc | 1.2 | 2.6 | 1.7 | 1.3 |
| Cilofexor | 1.2 | 2.3 | 1.5 | 1.4 |
| Efruxifermin | 1.2 | 1.7 | 1.4 | 1.3 |
| Firsocostat | 1.2 | 1.9 | 1.4 | 1.4 |
| Lanifibranor | 1.2 | 2.3 | 1.6 | 1.4 |
| Obeticholic acid | 1.5 | 3.8 | 3.2 | 1.8 |
| Resmetirom | 1.2 | 2.2 | 1.6 | 1.4 |
| Semaglutide | 2.2 | 3.2 | 2.3 | 4.0 |
Notes: *Means of 1–5 scale: 1 = not at all useful, 5 = extremely useful. Respondents selecting unsure were excluded. †Means of 1–5 scale: 1 = not at all familiar, 5 = extremely familiar.