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580
datasets available to search
ShareScore release 0.9.0
Dataset results
580 results for “Comorbidity”
Evaluation of Cognitive Dysfunction and Psychiatric Comorbidities
ClinicalTrials.gov study NCT06179394. IPD Sharing: Not stated. Countries: 0. Publications: 0.
A Study on the Effectiveness of Comprehensive Intervention Based on Specialized Physical Education Courses in the Prevention of Comorbidity Among Junior Middle School Students
ClinicalTrials.gov study NCT07237698. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Computerized Working Memory Training in Children With ADHD and Comorbid Tourette Syndrome
ClinicalTrials.gov study NCT02732496. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
rTMS in Managing Individuals With Chronic Low Back Pain and Comorbid Insomnia
ClinicalTrials.gov study NCT06158321. IPD Sharing: NO. Countries: 0. Publications: 0.
Red Blood Cell Distribution Width and Charlson Comorbidity Indeces in the Frail Polytraumatized Patient.
ClinicalTrials.gov study NCT05221476. IPD Sharing: NO. Countries: 0. Publications: 0.
Assessing The Impact Of Incorporating Charlson Comorbidity Scores On Patient Anxiety And Satisfaction
ClinicalTrials.gov study NCT03950180. IPD Sharing: NO. Countries: 0. Publications: 0.
Psychiatric Comorbidities in Patients With Painful Peripheral Neuropathy
ClinicalTrials.gov study NCT03275233. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Psychiatric Comorbidity in Back Pain Disorders
ClinicalTrials.gov study NCT03825991. IPD Sharing: NO. Countries: 0. Publications: 0.
Bone marrow neutropoiesis bias underlies inflammatory comorbidities
GEO Series GSE236480. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Hippocampus and visceral adipose tissues cellular landscape profiling to characterize the effects of obesity-amyloidosis comorbidity
GEO Series GSE197082. Mus musculus; Homo sapiens. 58 samples. Type: Expression profiling by high throughput sequencing.
miRNA Profiling shows shared Signatures in Pediatric Asthma, Obesity and their comorbidity
GEO Series GSE317496. Homo sapiens. 43 samples. Type: Expression profiling by array.
Hyperactive lateral habenula mediates the comorbidity between rheumatoid arthritis and depression-like behaviors
GEO Series GSE241929. Mus musculus. 11 samples. Type: Expression profiling by high throughput sequencing.
Dataset related to article "Charlson comorbidity index and G8 in older old adult(≥80 years) hepatocellular carcinoma patients treated with stereotactic body radiotherapy "
<p>This record contains raw data related to article “Charlson comorbidity index and G8 in older old adult(≥80 years) hepatocellular carcinoma patients treated with stereotactic body radiotherapy"</p> <p><strong>Introduction: </strong> Hepatocellular Carcinoma (HCC) is characterized, in Western countries, by higher incidence and mortality rates in the older adult population. In frail patients, limited therapeutic resources are available due to limited expected benefit concerning the risk of treatment-related toxicity. The aim of our study is to evaluate the role of Stereotactic Body Radiotherapy (SBRT) in the clinical management of older old adults (age ≥ 80 years) HCC patients and to identify predictors of efficacy and toxicity.</p> <p><strong>Material and methods: </strong> Clinical and treatment-related data of older old adults HCC patients treated with SBRT at our institution were retrospectively reviewed. Statistical analysis was carried out to identify variables correlated with impaired outcome and toxicity.</p> <p><strong>Results: </strong> Forty-two patients were included, accounting for 63 treated tumors. Median age was 85 (range 80-91) years. Median Charlson Comorbidity Index (CCI) and G8 scores were 10 (range 7-16) and 11 (range 8-14), respectively. SBRT was administered to a median BED10 of 103 Gy10. Median follow-up interval was 11 (range 3-40) months. Two years Local Control (LC), Progression-Free Survival (PFS), and Overall Survival (OS) were 93%, 31%, and 43%, respectively. Acute toxicity occurred in 28% (n = 13) of treatments. A G8 score > 10 was associated with improved survival (p = 0.045), while a CCI ≥10 was correlated with increased acute toxicity (p = 0.021).</p> <p><strong>Conclusions: </strong> SBRT is a safe and effective option in older old adults HCC patients. A comprehensive geriatric assessment (CGA) is advised before treatment decisions to select optimal candidates for SBRT.</p>
This record contains raw data related to article: "Effect of Comorbidities in Stage II/III Colorectal Cancer Patients Treated With Surgery and Neoadjuvant/Adjuvant Chemotherapy: A Single-Center, Observational Study"
<p>This record contains raw data related to article "Effect of Comorbidities in Stage II/III Colorectal Cancer Patients Treated With Surgery and Neoadjuvant/Adjuvant Chemotherapy: A Single-Center, Observational Study"</p> <p>Comorbidity has a detrimental effect on cancer survival, however, it is difficult to disentangle its direct effect from its influence on treatment choice. In this study we assessed the effect of comorbidity on survival in patients who received standard treatment for resected stage II and III colorectal cancer (CRC).</p> <p>PATIENTS AND METHODS:</p> <p>In total, 230 CRC patients, 68 rectal (29.6%) and 162 colon cancer (70.4%) treated with surgical resection and neoadjuvant/adjuvant chemotherapy from December 2002 to December 2009 at Humanitas Cancer Center were retrospectively reviewed. The key independent variable was the Charlson Comorbidity Index (CCI) score, measured as a continuous variable. The differences between groups for categorical data were tested using the χ<sup>2</sup> test. Actuarial survival curves were generated using the Kaplan-Meier method.</p> <p>RESULTS:</p> <p>Median follow-up was 113 (range, 8.2-145.0) months. Median age was 63 (range, 37-78) years. In univariate analysis CCI score was significantly associated with poorer disease-free survival (hazard ratio [HR], 1.65; 95% confidence interval [CI], 1.52-1.80; P < .001), and overall survival (OS; HR, 1.55; 95% CI, 1.41-1.71; P < .001). Factors associated with poorer outcome also included (stage III vs. stage II, P < .029) and age (age >70 vs. ≤70 years, P < .001). After adjusting for these factors, a significant negative prognostic role of CCI score was still observed (adjusted HR for OS, 1.59; 95% CI, 1.43-1.76; P < .001).</p> <p>CONCLUSION:</p> <p>Among CRC patients who underwent surgical resection and chemotherapy, a higher CCI score was associated with poorer outcome and might predict long-term survival.</p>
MiRNA sequencing profiles of brain and intestinal tissues in mice between ischemic stroke comorbid with gut dysbiosis group and Xinqingning Tablet group
GEO Series GSE304745. Mus musculus. 2 samples. Type: Non-coding RNA profiling by high throughput sequencing.
dataset related to article "Comorbidities of primary headache disorders: a literature review with meta-analysis"
<p><strong>Raw data extracted from the different manuscripts included in the review with meta-analysis</strong></p> <p> </p>
Dataset related to article: "Exercise capacity and comorbidities in patients with obstructive sleep apnea"
<p>We provide the raw data used for the following article:</p> <ul> <li> <p>Vitacca M, Paneroni M, Braghiroli A, Balbi B, Aliani M, Guido P, Fanfulla F, Pertosa M, Ceriana P, Zampogna E, Raccanelli R, Sarno N, Spanevello A, Maniscalco M, Malovini A, Ambrosino N.<br> <em>Exercise capacity and comorbidities in patients with obstructive sleep apnea</em>.<br> "J Clin Sleep Med". 2020 Apr 15;16(4):531-538. doi: 10.5664/jcsm.8258. PMID: 32003743; PMCID: PMC7161454.</p> </li> </ul> <p> </p> <p><strong>Abstract</strong></p> <p><strong>Study objectives: </strong> There are few studies evaluating (1) exercise capacity as assessed by the 6-minute walking distance (6MWD) test in large populations with obstructive sleep apnea (OSA); and (2) correlations with patients' comorbidities.<br> <strong>Methods: </strong> This study presents a cluster analysis performed on the data of 1,228 patients. Severity of exercise limitation was defined on the basis of 6MWD.<br> <strong>Results: </strong> Sixty-one percent showed exercise limitation (29.2% and 31.9% mild and severe exercise limitation, respectively). About 60% and 40% of patients were included in cluster 1 (CL1) and 2 (CL2), respectively. CL1 included younger patients with high prevalence of apneas, desaturations, and hypertension with better exercise tolerance. CL2 included older patients, all with chronic obstructive pulmonary disease (COPD), high prevalence of chronic respiratory failure (CRF), fewer apneas but severe mean desaturation, daytime hypoxemia, more severe exercise limitation, and exercise-induced desaturations. Only CRF and COPD significantly (P < .001) correlated with 6MWD < 85% of predicted value. 6MWD correlated positively with apnea-hypopnea index, oxygen desaturation index, nocturnal pulse oxygen saturation (SpO₂), resting arterial oxygen tension, mean SpO₂ on exercise, and negatively with age, body mass index, time spent during night with SpO₂ < 90%, mean nocturnal desaturation, arterial carbon dioxide tension, and number of comorbidities. Patients without severe comorbidities had higher exercise capacity than those with severe comorbidities, (P < .001). Exercise limitation was significantly worse in OSA severity class I when compared to other classes (P < .001).<br> <strong>Conclusions: </strong> A large number of patients with OSA experience exercise limitation. Older age, comorbidities such as COPD and CRF, OSA severity class I, severe mean nocturnal desaturation, and daytime hypoxemia are associated with worse exercise tolerance.</p>
Dataset related to article "Artificial intelligence processing electronic health records to identify commonalities and comorbidities cluster at Immuno Center Humanitas"
<p>This record contains raw data related to article “Artificial intelligence processing electronic health records to identify commonalities and comorbidities cluster at Immuno Center Humanitas”.</p> <p> </p> <p><strong>Background: </strong>Comorbidities are common in chronic inflammatory conditions, requiring multidisciplinary treatment approach. Understanding the link between a single disease and its comorbidities is important for appropriate treatment and management. We evaluate the ability of an NLP-based process for knowledge discovery to detect information about pathologies, patients' phenotype, doctors' prescriptions and commonalities in electronic medical records, by extracting information from free narrative text written by clinicians during medical visits, resulting in the extraction of valuable information and enriching real world evidence data from a multidisciplinary setting.</p> <p><strong>Methods: </strong>We collected clinical notes from the Allergy Department of Humanitas Research Hospital written in the last 3 years and used it to look for diseases that cluster together as comorbidities associated to the main pathology of our patients, and for the extent of prescription of systemic corticosteroids, thus evaluating the ability of NLP-based tools for knowledge discovery to extract structured information from free text.</p> <p><strong>Results: </strong>We found that the 3 most frequent comorbidities to appear in our clusters were asthma, rhinitis, and urticaria, and that 991 (of 2057) patients suffered from at least one of these comorbidities. The clusters which co-occur particularly often are oral allergy syndrome and urticaria (131 patients), angioedema and urticaria (105 patients), rhinitis and asthma (227 patients). With regards to systemic corticosteroid prescription volume by our clinicians, we found it was lower when compared to the therapy the patients followed before coming to our attention, with the exception of two diseases: Chronic obstructive pulmonary disease and Angioedema.</p> <p><strong>Conclusions: </strong>This analysis seems to be valid and is confirmed by the data from the literature. This means that NLP tools could have significant role in many other research fields of medicine, as it may help identify other important, and possibly previously neglected clusters of patients with comorbidities and commonalities. Another potential benefit of this approach lies in its potential ability to foster a multidisciplinary approach, using the same drugs to treat pathologies normally treated by physicians in different branches of medicine, thus saving resources and improving the pharmacological management of patients.</p>
Datset related to article "COMORBIDITIES IN FRIEDREICH ATAXIA: INCIDENCE AND MANIFESTATIONS FROM EARLY TO ADVANCED DISEASE STAGES"
<p>description of comorbidities in a large cohort of patient affected by friedreich ataxia</p>
Dataset related to Study: "Age and comorbidity are crucial predictors of mortality in severe obstructive sleep apnoea syndrome".
<p><strong>ABSTRACT</strong>: The prognostic role of comorbidity in patients with severe obstructive sleep apnoea syndrome (OSAS) and their role for risk stratification remain incompletely studied and poorly defined. We studied 1,592 patients with severe OSAS diagnosed by polysomnography. The primary outcome was all-cause mortality. We used Poisson regression to estimate the standardized mortality ratio (SMR), compared with the general population. The association of comorbidities with all-cause mortality was assessed using multivariable Cox regression analysis. Then, we calculated pseudo-R² to measure the proportion of variation explained by the model. Finally, we applied recursive-partitioning analysis to cluster the patients into risk groups according to individual comorbidities. A total of 11,721 person-years of follow-up were examined during which 390 deaths (3.33 deaths/100 person-years) occurred. The median follow-up was 7 (4-10) years. The SMR was 1.47 (1.33-1.63). Age, sex, obesity, cardiovascular diseases (CVD), moderate-to-severe chronic obstructive pulmonary disease (COPD), chronic kidney disease (CKD) and malignancy were independently associated with mortality risk. The model had a C index of 0.811 and explained 63.2% of the variation in mortality risk. Recursive-partitioning analysis allowed distinguishing three clinical phenotypes differentially associated with mortality risk. The combination of CKD with CVDs or with moderate-to-severe COPD conferred the highest risk. The SMR was 2.56 (2.13-3.08) in the high-, 1.59 (1.37-1.85) in the intermediate-, and 0.91 (0.75-1.11) in the low-risk category. Severe OSAS is associated with increased risk for all-cause death. Age and comorbidity are crucial contributors to increased mortality in severe OSAS. Clustering patients according to comorbidities allows identifying clinically meaningful phenotypes.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.