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Screening for comorbid conditions in patients enrolled in the SODA registry: a 2-year observational analysis.

ABSTRACT: PURPOSE:This 2-year analysis assessed frequency of comorbidities and comorbidity screening in the Somatuline® (lanreotide, LAN) Depot for Acromegaly (SODA) registry. METHODS:Patient data collected included pituitary hormone deficiencies, sleep studies, echocardiograms, gallbladder sonographies, colonoscopies, and glycated hemoglobin (HbA1c) levels. Insulin-like growth factor-1 (IGF-1) and growth hormone levels in patients with (DM) and without (non-DM) diabetes mellitus were analyzed. RESULTS:There were 241 patients enrolled. Pituitary hormone deficiencies were reported more frequently at enrollment in male (56.9%) vs female patients (32.0%; p?

SUBMITTER: Woodmansee WW

PROVIDER: S-EPMC5997114 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Screening for comorbid conditions in patients enrolled in the SODA registry: a 2-year observational analysis.

Woodmansee Whitney W WW Gordon Murray B MB Molitch Mark E ME Ioachimescu Adriana G AG Carver Don W DW Mirakhur Beloo B Cox David D Salvatori Roberto R

Endocrine 20180516 1

<h4>Purpose</h4>This 2-year analysis assessed frequency of comorbidities and comorbidity screening in the Somatuline<sup>®</sup> (lanreotide, LAN) Depot for Acromegaly (SODA) registry.<h4>Methods</h4>Patient data collected included pituitary hormone deficiencies, sleep studies, echocardiograms, gallbladder sonographies, colonoscopies, and glycated hemoglobin (HbA1c) levels. Insulin-like growth factor-1 (IGF-1) and growth hormone levels in patients with (DM) and without (non-DM) diabetes mellitus ...[more]

PMID: 29767287

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Project description:OBJECTIVE: To investigate comorbid conditions with prognostic influence in non-ST-segment elevation acute coronary syndrome (NSTEACS). PATIENTS AND METHODS: The study group consisted of a derivation cohort of 1017 patients (admitted from October 1, 2002, through October 1, 2008) and an external validation cohort of 652 patients (admitted from February 1, 2006, through September 30, 2009). Comorbid conditions, including risk factors and components of the Charlson comorbidity index (ChCI) and coronary artery disease-specific index, were recorded. The main outcome was one-year mortality. RESULTS: During follow-up, 103 patients died. After adjusting for variables associated with NSTEACS characteristics (base model), 5 comorbid conditions predicted mortality: severe or mild renal failure (hazard ratio [HR], 2.9 and HR, 1.6, respectively), dementia (HR, 3.1), peripheral artery disease (HR, 2.0), previous heart failure (HR, 2.6), and previous myocardial infarction (HR, 1.4). A simple comorbidity index (SCI) was developed using these variables, (per point: HR, 1.6; 95% confidence interval, 1.4-1.8; P = .0001). Adding the SCI, Charlson comorbidity index, or coronary artery disease-specific index to the base model resulted in a gain of 6.58%, 5.00%, and 4.04%, respectively, in discriminative ability (P = .001), without significant differences among the 3 indices. In patients with comorbid conditions, the highest risk period was in the first weeks after NSTEACS. The strength of the association between SCI and mortality rate was similar in the external validation cohort (HR, 1.3; 95% confidence interval, 1.1-1.6; P = .001). CONCLUSION: Renal dysfunction, dementia, peripheral artery disease, previous heart failure, and previous myocardial infarction are the comorbid conditions that predict mortality in NSTEACS. A simple index using these variables proved to be as accurate as the more complex comorbidity indices for risk stratification. In-hospital management of patients with comorbid conditions merits further investigation.

Project description:BackgroundGuidelines traditionally focus on the diagnosis and treatment of single diseases. As almost half of the patients with a chronic disease have more than one disease, the applicability of guidelines may be limited. The aim of this study was to assess the extent that guidelines address comorbidity and to assess the supporting evidence of recommendations related to comorbidity.Methodology/principal findingsWe conducted a systematic analysis of evidence-based guidelines focusing on four highly prevalent chronic conditions with a high impact on quality of life: chronic obstructive pulmonary disease, depressive disorder, diabetes mellitus type 2, and osteoarthritis. Data were abstracted from each guideline on the extent that comorbidity was addressed (general comments, specific recommendations), the type of comorbidity discussed (concordant, discordant), and the supporting evidence of the comorbidity-related recommendations (level of evidence, translation of evidence). Of the 20 guidelines, 17 (85%) addressed the issue of comorbidity and 14 (70%) provided specific recommendations on comorbidity. In general, the guidelines included few recommendations on patients with comorbidity (mean 3 recommendations per guideline, range 0 to 26). Of the 59 comorbidity-related recommendations provided, 46 (78%) addressed concordant comorbidities, 8 (14%) discordant comorbidities, and for 5 (8%) the type of comorbidity was not specified. The strength of the supporting evidence was moderate for 25% (15/59) and low for 37% (22/59) of the recommendations. In addition, for 73% (43/59) of the recommendations the evidence was not adequately translated into the guidelines.Conclusions/significanceOur study showed that the applicability of current evidence-based guidelines to patients with comorbid conditions is limited. Most guidelines do not provide explicit guidance on treatment of patients with comorbidity, particularly for discordant combinations. Guidelines should be more explicit about the applicability of their recommendations to patients with comorbidity. Future clinical trials should also include patients with the most prevalent combinations of chronic conditions.

Project description:There is controversy regarding how comorbidity impacts on colorectal cancer screening, especially in the context of organised programmes. The aim of this study is to assess the effect of comorbidities on participation in the Barcelona population-based colorectal cancer screening programme (BCCSP).Cross-sectional study carried out in ten primary care centres involved in the BCCSP. Individuals aged 50 to 69, at average risk of colorectal cancer, who were invited to participate in the first round of the faecal immunochemical test-based BCCSP were included (2011-2012). The main variable was participation in the BCCSP. Comorbidity was assessed by clinical risk group status. Other adjusting variables were age, sex, socioeconomic deprivation, visits to primary care, smoking, alcohol consumption and body mass index. Logistic regression models were used to test the association between participation in the programme and potential explanatory variables. The results were given as incidence rate ratios (IRR) and their 95% confidence intervals (CI).Of the 36,208 individuals included, 17,404 (48%) participated in the BCCSP. Participation was statistically significantly higher in women, individuals aged 60 to 64, patients with intermediate socioeconomic deprivation, and patients with more medical visits. There was a higher rate of current smoking, high-risk alcohol intake, obesity and individuals in the highest comorbidity categories in the non-participation group. In the adjusted analysis, only individuals with multiple minor chronic diseases were more likely to participate in the BCCSP (IRR 1.14; 95% CI [1.06 to 1.22]; p < 0.001). In contrast, having three or more dominant chronic diseases was associated with lower participation in the screening programme (IRR 0.76; 95% CI [0.65 to 0.89]; p = 0.001).Having three or more dominant chronic diseases, was associated with lower participation in a faecal immunochemical test-based colorectal cancer screening programme, whereas individuals with multiple minor chronic diseases were more likely to participate. Further research is needed to explore comorbidity as a cause of non-participation in colorectal cancer screening programmes and which individuals could benefit most from colorectal cancer screening.

Project description:BackgroundPatients with heart failure (HF) often have multiple chronic conditions that may impact health-related quality of life (HRQOL) despite HF therapy. We sought to determine the association between noncardiac comorbidities and HRQOL in ambulatory patients with advanced HF.MethodsBaseline data from 373 subjects in REVIVAL (Registry Evaluation of Vital Information for Ventricular Assist Devices in Ambulatory Life) were analyzed using multivariable general linear models to evaluate the relationship between comorbidities and HRQOL (EuroQol Visual Analogue Scale, EQ-5D-3L Index Score, and Kansas City Cardiomyopathy Questionnaire). The primary independent variables were a comorbidity index (sum of 14 noncardiac conditions), a residual comorbidity index (without depression), and depression alone. The median (25th to 75th percentile) number of comorbidities was 3 (2-4).ResultsIncreasing comorbidity burden was associated with a reduction in generic (EQ-5D Index, P=0.005) and HF-specific (Kansas City Cardiomyopathy Questionnaire, P=0.001) HRQOL. The residual comorbidity index was not associated with HRQOL when depression included in the model independently, while depression was associated with HRQOL across all measures. Participants with depression (versus without) scored on average 13 points (95% CI, 8-17) lower on the EuroQol Visual Analogue Scale, 0.15 points (95% CI, 0.12-0.18) lower on the EQ-5D Index, and 24.9 points (95% CI, 21.2-28.5) lower on the Kansas City Cardiomyopathy Questionnaire overall summary score.ConclusionsWhile noncardiac comorbidities were prevalent in ambulatory advanced HF patients, only depression was associated with decreased generic and HF-specific HRQOL. Other than depression, the presence of noncardiac comorbidities should not impact expected gains in HRQOL following ventricular assist device implantation, provided the conditions are not a contraindication to implant. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT01369407.

Dataset Information

Screening for comorbid conditions in patients enrolled in the SODA registry: a 2-year observational analysis.

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Screening for comorbid conditions in patients enrolled in the SODA registry: a 2-year observational analysis.

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