Detecting non-alcoholic fatty liver disease and risk factors in health databases: accuracy and limitations of the ICD-10-AM.

OBJECTIVE: The prevalence of non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) cirrhosis is often underestimated in healthcare and administrative databases that define disease burden using International Classification of Diseases (ICD) codes. This retrospective audit was conducted to explore the accuracy and limitations of the ICD, Tenth Revision, Australian Modification (ICD-10-AM) to detect NAFLD, metabolic risk factors (obesity and diabetes) and other aetiologies of chronic liver disease. DESIGN/METHOD: ICD-10-AM codes in 308 admitted patient encounters at two major Australian tertiary hospitals were compared with data abstracted from patients' electronic medical records. Accuracy of individual codes and grouped combinations was determined by calculating sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and Cohen's kappa coefficient (κ). RESULTS: The presence of an ICD-10-AM code accurately predicted the presence of NAFLD/NASH (PPV 91.2%) and obesity (PPV 91.6%) in most instances. However, codes underestimated the prevalence of NAFLD/NASH and obesity by 42.9% and 45.3%, respectively. Overall concordance between clinical documentation and 'grouped alcohol' codes (κ 0.75) and hepatitis C codes (κ 0.88) was high. Hepatitis B codes detected false-positive cases in patients with previous exposure (PPV 55.6%). Accuracy of codes to detect diabetes was excellent (sensitivity 95.8%; specificity 97.6%; PPV 94.9%; NPV 98.1%) with almost perfect concordance between codes and documentation in medical records (κ 0.93). CONCLUSION: Recognition of the utility and limitations of ICD-10-AM codes to study the burden of NAFLD/NASH cirrhosis is imperative to inform public health strategies and appropriate investment of resources to manage this burgeoning chronic disease.

Nausea and Vomiting in 2021: A Comprehensive Update.

GOAL: A comprehensive review of treatments for nausea and vomiting (N/V). BACKGROUND: N/V are common symptoms encountered in medicine. While most cases of acute N/V related to a specific cause can be straightforward to manage, other cases of acute N/V such as chemotherapy-induced N/V and especially chronic unexplained N/V can be difficult to control, leading to a significant decline in the patient's quality of life and increased cost of medical care from repeated hospitalizations. STUDY: Traditional management has relied on pharmacotherapy which may be inadequate in a certain proportion of these patients. Many of the medications used in the management of N/V have significant side effect profiles making the need for new and improved interventions of great importance. RESULTS: This review covers a broad review of the pathophysiology of N/V, pharmacotherapy, including safety concerns and controversies with established pharmaceuticals, newer immunotherapies, bioelectrical neuromodulation (including gastric electrical stimulation), behavioral and surgical therapies, and complementary medicine. CONCLUSION: On the basis of emerging understandings of the pathophysiology of N/V, improved therapies are becoming available.

Changing prevalence of aetiological factors and comorbidities among Australians hospitalised for cirrhosis.

BACKGROUND: The rate of hospital admissions for cirrhosis increased 1.3-fold during 2008-2016 in Queensland. Alcohol misuse was a contributing factor for cirrhosis in 55% of admissions and 40% of patients had at least one comorbidity. AIMS: To examine the temporal change in aetiology of liver disease and presence of comorbidity in patients admitted with cirrhosis. METHODS: Population-based retrospective cohort study of all people treated in hospital for cirrhosis (10 254 patients) in Queensland during 2008-2016. Data were sourced from Queensland Hospital Admitted Patient Data Collection. RESULTS: The commonest aetiology was alcohol (49.5%), followed by cryptogenic (unspecified cirrhosis; 28.5%), hepatitis C virus (19.3%), non-alcoholic fatty liver disease (NAFLD)/non-alcoholic steatohepatitis (NASH) (4.8%) and hepatitis B virus (HBV) (4.3%). The prevalence of alcohol-related (P = 0.41) and hepatitis C virus (P = 0.08) remained stable between 2008-2010 and 2014-2016, that of NAFLD/NASH, cryptogenic and HBV-cirrhosis increased by 67% (P < 0.00001), 27% (P < 0.00001) and 20% (P = 0.00019), respectively; 41.1% of patients had at least one comorbidity. The prevalence of type 2 diabetes nearly doubled (from 13.7% to 25.4%; P < 0.00001) between 2008-2010 and 2014-2016. CONCLUSIONS: Alcohol misuse was the most important aetiology. The importance of NAFLD/NASH, cryptogenic and HBV-cirrhosis and the burden of comorbidity increased during 2008-2016. Ongoing alcohol misuse and the increasing prevalence of NAFLD/NASH, cryptogenic cirrhosis and comorbid type 2 diabetes among admissions for cirrhosis has implications for public health interventions to reduce the burden of unhealthy lifestyle and metabolic disorders.

ICD-10-AM codes for cirrhosis and related complications: key performance considerations for population and healthcare studies.

OBJECTIVE: The utility of International Classification of Diseases (ICD) codes relies on the accuracy of clinical reporting and administrative coding, which may be influenced by country-specific codes and coding rules. This study explores the accuracy and limitations of the Australian Modification of the 10th revision of ICD (ICD-10-AM) to detect the presence of cirrhosis and a subset of key complications for the purpose of future large-scale epidemiological research and healthcare studies. DESIGN/METHOD: ICD-10-AM codes in a random sample of 540 admitted patient encounters at a major Australian tertiary hospital were compared with data abstracted from patients' medical records by four blinded clinicians. Accuracy of individual codes and grouped combinations was determined by calculating sensitivity, positive predictive value (PPV), negative predictive value and Cohen's kappa coefficient (κ). RESULTS: The PPVs for 'grouped cirrhosis' codes (0.96), hepatocellular carcinoma (0.97) ascites (0.97) and 'grouped varices' (0.95) were good (κ all >0.60). However, codes under-detected the prevalence of cirrhosis, ascites and varices (sensitivity 81.4%, 61.9% and 61.3%, respectively). Overall accuracy was lower for spontaneous bacterial peritonitis ('grouped' PPV 0.75; κ 0.73) and the poorest for encephalopathy ('grouped' PPV 0.55; κ 0.21). To optimise detection of cirrhosis-related encounters, an ICD-10-AM code algorithm was constructed and validated in an independent cohort of 116 patients with known cirrhosis. CONCLUSION: Multiple ICD-10-AM codes should be considered when using administrative databases to study the burden of cirrhosis and its complications in Australia, to avoid underestimation of the prevalence, morbidity, mortality and related resource utilisation from this burgeoning chronic disease.

Type 2 Diabetes: A Risk Factor for Hospital Readmissions and Mortality in Australian Patients With Cirrhosis.

Although there is evidence that type 2 diabetes mellitus (T2D) impacts adversely on liver-related mortality, its influence on hospital readmissions and development of complications in patients with cirrhosis, particularly in alcohol-related cirrhosis (the most common etiological factor among Australian hospital admissions for cirrhosis) has not been well studied. This study aimed to investigate the association between T2D and liver cirrhosis in a population-based cohort of patients admitted for cirrhosis in the state of Queensland, Australia. A retrospective cohort analysis was conducted using data from the Queensland Hospital Admitted Patient Data Collection, which contains information on all hospital episodes of care for patients with liver cirrhosis, and the Death Registry during 2008-2017. We used demographic, clinical data, and socioeconomic characteristics. A total of 8,631 patients were analyzed. A higher proportion of patients with T2D had cryptogenic cirrhosis (42.4% vs. 27.3%, respectively; P < 0.001) or nonalcoholic fatty liver disease/nonalcoholic steatohepatitis (13.8% vs. 3.4%, respectively; P < 0.001) and an admission for hepatocellular carcinoma (18.0% vs. 12.2%, respectively; P < 0.001) compared to patients without T2D. Patients with liver cirrhosis with T2D compared to those without T2D had a significantly increased median length of hospital stay (6 [range, 1-11] vs. 5 [range, 1-11] days, respectively; P < 0.001), double the rate of noncirrhosis-related admissions (incidence rate ratios [IRR], 2.03; 95% confidence interval [CI], 1.98-2.07), a 1.35-fold increased rate of cirrhosis-related admissions (IRR, 1.35; 95% CI, 1.30-1.41), and significantly lower survival (P < 0.001). Conclusion: Among hospitalized patients with cirrhosis, the cohort with T2D is at higher risk and may benefit from attention to comorbidities and additional support to reduce readmissions.

Analysis of 43 Intraoperative Cardiac Surgery Case Cancellations.

OBJECTIVE: Late cancellation of surgery cases imposes significant emotional distress on the patient and their family and results in wasted resources, including loss of operating room and personnel time. This study was designed to determine the causes of cancellation, preventability, total operating room time, and postoperative destination. DESIGN: This study was a retrospective review of the 43 cardiac surgical cases that were cancelled while the patient was in the operating room (OR) but prior to surgical incision. SETTING: The cases were performed at the Massachusetts General Hospital, a teaching hospital of Harvard Medical School. PARTICIPANTS: Forty-three out of 5,110 scheduled cardiac cases were identified that were cancelled after the patient had entered the operating room between January 1, 2010 and December 31, 2013. INTERVENTIONS: No interventions were made. This was a retrospective study. MEASUREMENTS AND MAIN RESULTS: The most common causes of cancellation included a change in the patient's health status (44%), problems associated with central catheter placement (18.6%), and unsatisfactory donor organs for planned transplantation (12%). The majority were inpatients (65%) prior to the procedure. The cumulative OR time for all cancelled cases was 5,374 minutes (89 hours and 34 minutes). CONCLUSIONS: The reason for cancellation, preventability, total operating room time, and postoperative destination were determined. The information can be utilized to decrease the number of future cancellations.