A Systematic Review of Case-Identification Algorithms Based on Italian Healthcare Administrative Databases for Three Relevant Diseases of the Cardiovascular System: Hypertension, Heart Failure, and Congenital Heart Diseases.

OBJECTIVES: to identify and describe all hypertension, heart failure (HF), and congenital heart disease case-identification algorithms by means of Italian Healthcare Administrative Databases (HADs), through the review of papers published in the past 10 years. METHODS: this study is part of a project that systematically reviewed case-identification algorithms for 18 acute and chronic conditions by means of HADs in Italy. PubMed was searched for original articles, published between 2007 and 2017, in Italian or English. The search string consisted of a combination of free text and MeSH terms with a common part that focused on HADs and a disease-specific part. All identified papers were screened by two independent reviewers. Pertinent papers were classified according to the objective for which the algorithm had been used, and only articles that used algorithms for primary objectives (I disease occurrence; II population/cohort selection; III outcome identification) were considered for algorithm extraction. The HADs used (hospital discharge records, drug prescriptions, etc.), ICD-9 and ICD-10 codes, ATC classification of drugs, follow-back periods, and age ranges applied by the algorithms have been reported. Further information on specific objective(s), accuracy measures, sensitivity analyses, and the contribution of each HAD have also been recorded. RESULTS: the search strategy identified 429 papers for hypertension, 479 for HF, and 138 for congenital heart diseases. After title/abstract and full-text screening, the review led to the inclusion of 21 articles for hypertension, 24 for HF, and only 1 for congenital heart diseases. Eighteen algorithms had a primary objective (5 hypertension, 12 HF, 1 congenital heart diseases). All the hypertension algorithms were based on the drug prescription database, except for one algorithm that also used the hospital discharge records and the exemption from co-payment database. As for HF, all the algorithms employed the hospital discharge record database and only two algorithms used another information source. The only algorithm identified for congenital heart diseases was based on the hospital discharge database. The algorithm identified for congenital heart diseases was validated, showing excellent performance. Conversely, only one hypertension algorithm was validated, and none of the HF algorithms were validated - even though 5 out of 12 algorithms were based on previous algorithms used at both national and international level. CONCLUSION: the findings of the present study showed wide use of Italian administrative databases for the detection of hypertension and heart failure cases. However, the validity of the algorithms in most cases has not been tested, highlighting the need for introducing stricter requirements to enforce the assessment of the validity of the algorithms used.

Impactibility Model for Population Health Management in High-Cost Elderly Heart Failure Patients: A Capture Method Using the ACG System.

The aim of the present study is to use the ACG (Adjusted Clinical Groups) System to create an impactibility model by identifying homogeneous clinical subgroups of patients with high risk of an adverse health outcome in a population of heart failure patients with complex health care needs (PCHCN). This method will allow policy makers to target and prioritize services for the highest risk PCHCN in the context of limited health care resources, by identifying relatively homogeneous groups of patients with similar comorbidities. Subjects classified in 2012 as PCHCN in a local health unit by the ACG System were linked with hospital discharge records in 2013. The authors applied the Apriori algorithm to identify the most common sets of the most predictive diseases for the following outcomes of interest: at least 1 admission and at least 1 preventable admission in the year. Predictive performance for the former outcome was compared between the impactability model with the available ACG's individual risk score. The Apriori algorithm also was applied to predict the latter outcome as an example of an event that a policy maker would be able to prevent. Evidence showed no statistically significant difference between the 2 methods. The present model also displayed evidence of good calibration. The Apriori algorithm was applied as an impactibility model, built based on the ACG System, that allowed the authors to obtain an "ACG-based group risk score" and use it to identify clinically homogeneous subgroups of PCHCN. This will help policy makers develop "tool kits" for homogeneous groups of patients that improve health outcomes.

Palliative care quality measures: an exploratory study.

OBJECTIVES: The aim of this study was to investigate how palliative care service structures and processes correlate with their outputs and outcomes, measuring the latter respectively in terms of intensity of care and death at home. METHODS: The Veneto Regional Health Authorities collected a set of 37 quality indicators for the year 2016, covering the following five dimensions: service integration, service structure, accessibility, professional processes and organisational processes. Their validity was assessed by a panel of 29 palliative care experts. A score was assigned to each indicator on the basis of its relevance. Non-parametric correlations between the care quality indicators and the measures of the palliative care outputs and outcomes were investigated, along with the presence of a monotonic trend in the performance of the local health units (LHU) grouped by 'low', 'medium' or 'high' scores and differences between these groups of LHUs. RESULTS: The data showed that palliative care service structure and professional processes were the dimensions correlating significantly with the intensity of care coefficient. An increasingly significant statistical trend was found in both the intensity of care coefficient and the proportion of deaths at home for the three groups of LHUs in terms of the professional processes dimension. CONCLUSIONS: Despite its limitations, this study brought to light some statistically significant findings that are worth investigating in larger samples. To achieve improvements in the quality of palliative care, it is important for healthcare providers to know which variables most affect the output and especially the outcomes of the services offered.

Impact of the Regional Network for AMI in the Management of STEMI on Care Processes, Outcomes and Health Inequities in the Veneto Region, Italy.

Cardiovascular diseases are a leading cause of death in Europe. Outcomes in terms of mortality and health equity in the management of patients with ST-Elevation Myocardial Infarction (STEMI) are influenced by health care service organization. The main aim of the present study was to examine the impact of the new organizational model of the Veneto Region's network for Acute Myocardial Infarction (AMI) to facilitate primary percutaneous coronary intervention (PCI) on STEMI, and its efficacy in reducing health inequities. A retrospective cohort study was conducted on HDRs in the Veneto Region for the period 2007⁻2016, analyzing 65,261 hospitalizations for AMI. The proportion of patients with STEMI treated with PCI within 24 h increased significantly for men and women, and was statistically much higher for patients over 75 years of age (APC, 75⁻84: 9.8; >85: 12.5) than for younger patients (APC, <45: 3.3; 45⁻64: 4.9), with no difference relating to citizenship. The reduction in in-hospital, STEMI-related mortality was only statistically significant for patients aged 75⁻84 (APC: -3.0 [-4.5;-1.6]), and for Italians (APC: -1.9 [-3.2;-0.6]). Multivariate analyses confirmed a reduction in the disparities between socio-demographic categories. Although the new network improved the care process and reduced health care disparities in all subgroups, these efforts did not result in the expected survival benefit in all patient subgroups.

Ultrasound, anthropometry and bioimpedance: a comparison in predicting fat deposition in non-alcoholic fatty liver disease.

PURPOSE: The aim of our study was the evaluation of anthropometric measurements [waist circumference and sagittal abdominal diameter (SAD)] and abdominal bioelectrical impedance analysis (BIA) (ViScan, TANITA) in comparison to several abdominal ultrasonographic (US) measurements to estimate visceral fat deposition and liver steatosis in a population of 105 subjects. METHODS: All 105 patients underwent a complete anthropometric evaluation, blood sample for the determination of total cholesterol, HDL cholesterol, triglycerides, glucose, insulin, high-sensitivity C-reactive protein, BIA and US measurements (peritoneal, pre-peritoneal, peri-renal, para-renal and peri-hepatic fat thickness). RESULTS: All the ultrasonographic markers considered in our study are related to the presence of non-alcoholic fatty liver disease (NAFLD), and so is true for SAD. Comparing ROC curves, peritoneal fat tissue thickness, SAD and ViScan visceral index are significantly better than waist circumference in predicting the presence of NAFLD (AUC 0.79 ± 0.04; 0.81 ± 0.05; 0.82 ± 0.04 vs 0.76 ± 0.05, respectively). CONCLUSIONS: According to our data, various methods may be useful in evaluating NAFLD, but only ViScan visceral index, US peritoneal fat thickness and SAD are better than waist circumference. Among them, SAD is the most promising, due to its small cost and time consumption.

Lung ultrasound during hemodialysis: the role in the assessment of volume status.

OBJECTIVE: Fluid balance is important in patients undergoing hemodialysis. "Dry" weight is usually estimated clinically, and also, bioimpedance is considered reliable. Ultrasonography of inferior vena cava (IVC) estimates central venous pressure, and lung ultrasound evaluates extravascular (counting B-lines artifact) lung water. Our study was aimed to clarify their usefulness in the assessment of volume status during hemodialysis. METHODS: A total of 71 consecutive patients undergoing hemodialysis underwent lung and IVC ultrasound and bioimpedance spectroscopy immediately before and after dialysis. RESULTS: There was a significant reduction in the number of B-lines (3.13 vs 1.41) and in IVC diameters (end-expiratory diameter 1.71 vs 1.37; end-inspiratory diameter 1.19 vs 0.95) during dialysis. The reduction in B-lines correlated with weight reduction during dialysis (p 0.007); none of the parameters concerning the IVC correlated with fluid removal. At the end of the dialysis session, the total number of B-lines correlated with bioimpedance residual weight (p 0.002). DISCUSSION: The reduction in B-lines correlated with fluid loss due to hemodialysis, despite the small pre-dialysis number, confirming that lung ultrasound can identify even modest variations in extravascular lung water. IVC ultrasound, which reflects the intravascular filling grade, might not be sensitive enough to detect rapid volume decrease. Clinically estimated dry weight had a poor correlation with both bioimpedance and ultrasound techniques. Post-dialysis B-lines number correlates with residual weight assessed with bioimpedance, suggesting a role for ultrasound in managing hemodialysis patients.