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15,733 results for “article”
Dataset from: "Articles Examining Medical Errors in Emergency Medicine Journals: A Comprehensive Visualization and Bibliometric Analysis"
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Dataset related to the article "Oxidized LDL-dependent pathway as new pathogenic trigger in Arrhythmogenic Cardiomyopathy."
<p>This record contains raw data related to the article “Oxidized LDL-dependent pathway as new pathogenic trigger in Arrhythmogenic Cardiomyopathy".</p> <p>Arrhythmogenic Cardiomyopathy (ACM) is hallmarked by ventricular fibro-adipogenic alterations, contributing to cardiac dysfunctions and arrhythmias. Although genetically-determined (e.g. <em>PKP2</em> mutations), ACM phenotypes are highly variable. More data on phenotype modulators, clinical prognosticators, and etiological therapies are awaited. We hypothesized that oxidized low-density-lipoproteins (oxLDL)-dependent activation of PPARγ, a recognized effector of ACM adipogenesis, contribute to disease pathogenesis.</p> <p>ACM patients showing high plasma concentration of oxLDL display severe clinical phenotypes in terms of fat infiltration, ventricular dysfunction, and major arrhythmic event risk.</p> <p>In ACM patient-derived cardiac cells, we demonstrated that oxLDL are major cofactors of adipogenesis. Mechanistically, the increased lipid accumulation is mediated by oxLDL cell internalization through CD36, ultimately resulting in PPARγ upregulation.</p> <p>By boosting oxLDL in a <em>Pkp2</em> heterozygous knock-out mice through high-fat-diet feeding, we confirmed <em>in vivo</em> the oxidized lipids dependency of cardiac adipogenesis and right ventricle systolic impairment, which are counteracted by atorvastatin treatment.</p> <p>The modulatory role of oxidized lipids on ACM adipogenesis, demonstrated at cellular, mouse, and patient levels, represents a novel risk stratification tool and a target for ACM pharmacological strategies.</p>
Dataset related to article "Identification of a class of non-conventional ER-stress response-derived immunogenic peptides (ERStreP)"
<p>This record contains raw data and scripts (R software) applied to get Figure 5 and Figure S8 related to article “Identification of a class of non-conventional ER-stress response-derived immunogenic peptides (ERStreP)”</p> <p>Immune checkpoint blockade (ICB) has changed the prognosis of previously untreatable tumors. However, a fraction of patients is refractory to ICB therapy. Ongoing efforts to overcome resistance have focused on vaccination strategies using neoepitopes, although these cannot be applied on a large scale due to the "private" nature of cancer mutations. Here we show that infection of tumor cells with <em>Salmonella</em> induces the opening of membrane hemichannels and the release of proteasome-generated peptides in the extracellular milieu via the exacerbation of endoplasmic reticulum (ER)-stress and the unfolded protein response. Peptides released by cancer cells induced a strong antitumor response <em>in vivo</em>, both in mice bearing B16F10 melanomas and in dogs suffering of osteosarcoma and high-grade sarcoma. Mass spectrometry analysis on the supernatant of human melanoma cells revealed 12 released peptides capable of priming healthy donor CD8<sup>+</sup> T cells that recognize and kill human melanoma cells <em>in vitro</em> and when xenotransplanted <em>in vivo</em>, but not healthy melanocytes. Hence, we identified a novel class of tumor antigens that are generated in ER-stressed cells, such as tumor cells, and that do not induce central or peripheral tolerance, nor are presented by healthy cells.</p> <p> </p>
Dataset related to the article: "Effects of Mediterranean Diet or Low-Fat Diet on Blood Fatty Acids in Patients with Coronary Heart Disease. A Randomized Intervention Study"
<p>This record contains raw data related to the article “Effects of Mediterranean Diet or Low-Fat Diet on Blood Fatty Acids in Patients with Coronary Heart Disease. A Randomized Intervention Study”</p> <p>Abstract: The Mediterranean diet (MD) prevents cardiovascular disease by different putative mechanisms, including modifications in the blood fatty acid (FA) profile. Polytherapy for secondary cardiovascular prevention might mask the effect of MD on the FA profile. This study was aimed to assess whether MD, in comparison with a low-fat diet (LFD), favorably modifies the blood FA profile in patients with coronary heart disease (CHD) on polytherapy. One hundred and twenty patients with a recent history of coronary stenting, randomized to MD or to LFD, completed 3 months of this open-label dietary intervention study. Diet Mediterranean-ness was evaluated using the Mediterranean Diet Adherence Screener (MeDAS) score. Both diets significantly reduced saturated FA (p < 0.01). Putative favorable changes in total n-3 FA (p = 0.03) and eicosapentaenoic acid plus docosahexaenoic acid (EPA + DHA; p = 0.04) were significantly larger with MD than with LFD. At 3 months, in the whole cohort, the MeDAS score correlated inversely with palmitic acid (R = 0.21, p = 0.02), and with palmitoleic acid (R = 0.32, p = 0.007), and positively with total n-3 FA (R = 0.19, p = 0.03), EPA (R = 0.28, p = 0.002), and EPA + DHA (R = 0.21, p = 0.02). In CHD patients on polytherapy, both MD and LFD shift FA blood composition towards a healthier profile, with a more favorable effect of MD on omega3 levels.<br> </p>
Dataset related to the article "Associations of Preoperative Self-rated Symptoms of Anxiety and Depression on Length of Hospital Stay and Long-term Quality of Life in Patients Undergoing Cardiac Surgery"
<p>This record contains raw data related to the article "Associations of Preoperative Self-rated Symptoms of Anxiety and Depression on Length of Hospital Stay and Long-term Quality of Life in Patients Undergoing Cardiac Surgery"</p> <p><strong>ABSTRACT</strong></p> <p><strong>Background: </strong>Anxiety and depression are often associated with cardiovascular diseases. Nevertheless, few study authors have investigated psychological effects on immediate and long-term cardiac surgery-related outcomes, such as surgical complications, length of hospital stay (LOS), and long-term health-related quality of life (HRQoL).</p> <p><strong>Objectives: </strong>The aims of this study were to (a) investigate the role of preoperative symptoms of anxiety and depression in predicting LOS in a sample of surgical patients and (b) evaluate the impact of preoperative symptoms of anxiety and depression on the patients' HRQoL 3 months after surgery.</p> <p><strong>Methods: </strong>One hundred fifty-one patients waiting for surgery were included. To evaluate symptoms of anxiety and depression, the Hospital Anxiety and Depression Scale was used. Multiple regression analyses were conducted to evaluate the impact of both clinical and psychological factors on LOS, whereas quantile regression was performed to assess their effect on the patients' HRQoL 3 months after surgery.</p> <p><strong>Results: </strong>The multiple regression shows that EuroSCORE, length of endotracheal intubation, and anxiety symptoms predict LOS. The multiple quantile regression analyses also show that both symptoms of anxiety and depression predict a negative HRQoL up to 3 months after surgery.</p> <p><strong>Conclusion: </strong>Preoperative symptoms of anxiety predict the patients' LOS, and both symptoms of anxiety and depression predict a scarce HRQoL 3 months after cardiac surgery. These results suggest the need for implementing presurgical in-hospital screening procedures for both symptoms of anxiety and depression. Finally, focused psychological interventions should be implemented for reducing inpatients' hospital LOS and improving their future quality of life.</p>
Dataset related to the article "Potential Relation between Plasma BDNF Levels and Human Coronary Plaque Morphology"
<p>This record contains raw data related to the article "Potential Relation between Plasma BDNF Levels and Human Coronary Plaque Morphology"</p>
Dataset related to article "Automated Head Tissue Modelling Based on Structural Magnetic Resonance Images for Electroencephalographic Source Reconstruction"
<p><strong>SCORING SEGMENTATIONS</strong></p> <ul> <li>Qualitative segmentation scores by two raters (rater1; rater2).</li> <li>Scale: excellent (4); good (3); doubtful (2) and failed (1).</li> </ul> <p> </p> <p><strong>DATABASES</strong></p> <ul> <li>IXI database, Imperial College of London (<a href="https://brain-development.org/ixi-dataset/">https://brain-development.org/ixi-dataset/</a>)</li> <li>Autism Brain Imaging Data Exchange (ABIDE) database (<a href="http://fcon_1000.projects.nitrc.org">http://fcon_1000.projects.nitrc.org</a>)</li> <li>SchizConnect database (<a href="http://schizconnect.org">http://schizconnect.org</a>)</li> </ul> <p> </p> <p><strong>SEGMENTATION METHODS</strong></p> <ul> <li>MR-TIM (Taberna et al., 2021), green rows</li> <li>WTS (Liu et al., 2017), red rows</li> </ul> <p> </p> <p><strong>TABLES</strong></p> <p><strong>IXI_young </strong></p> <ul> <li>20 MRI from the IXI database, participants 20–35 years old;</li> <li>MR scanners: Philips Intera 3.0T (HH); Philips Gyroscan Intera 1.5T (G)</li> </ul> <p><strong>IXI_older</strong></p> <ul> <li>20 MRI from the IXI database, participants 60–75 years old;</li> <li>MR scanners: Philips Intera 3.0T (HH); Philips Gyroscan Intera 1.5T (G)</li> </ul> <p><strong>ABIDE</strong></p> <ul> <li>10 MRI from the ABIDE database, participants 18-25 years old;</li> <li>MR scanner: Philips Achieva 3.0T</li> </ul> <p><strong>SchizConnect</strong></p> <ul> <li>10 MRI from the SchizConnect database, participants 19-66 years old;</li> <li>MR scanner: Siemens Trio Tim 3.0T</li> </ul> <p> </p> <p><strong>REFERENCES</strong></p> <p>Liu, Q., Farahibozorg, S., Porcaro, C., Wenderoth, N., & Mantini, D. (2017). Detecting large-scale networks in the human brain using high-density electroencephalography. Hum Brain Mapp, 38(9), 4631-4643. doi:10.1002/hbm.23688</p> <p>Taberna, G. A., Samogin, J., & Mantini, D. (2021). Automated Head Tissue Modelling Based on Structural Magnetic Resonance Images for Electroencephalographic Source Reconstruction. Neuroinformatics. doi:10.1007/s12021-020-09504-5</p>
Datasets related to article "Frequency-dependent functional connectivity in resting state networks"
<p><strong>DATASET #1</strong></p> <p>Power measured for the six resting state networks (DMN, DAN, VAN, LN, SMN, VN) and frequency bands (delta, theta, alpha, beta, gamma) of each participant.</p> <p> </p> <p><strong>DATASET #2</strong></p> <p>Intra-network and inter-network connectivity measured for the six resting state networks (DMN, DAN, VAN, LN, SMN, VN) and frequency bands (delta, theta, alpha, beta, gamma) of each participant.</p>
DATASET RELATED TO ARTICLE "MILD MALFORMATION OF CORTICAL DEVELOPMENT WITH OLIGODENDROGLIAL HYPERPLASIA (MOGHE): NEUROPHYSIOLOGICAL FINGERPRINTS OF A NEW PATHOLOGICAL ENTITY"
<p>ppt: scalp eeg – brain mri – brain fdg-pet</p>
Dataset related to article "RT-NET: real-time reconstruction of neural activity using high-density electroencephalography"
<p>Computation time for each of the 10 participants, related to head segmentation, leadfield matrix creation and spatial filter creation, respectively.</p>
Dataset related to article "Robot-assisted rehabilitation of hand function after stroke: Development of prediction models for reference to therapy"
<p>DATASET #1</p> <p>Il data set è composto da 174 osservazioni riferite ad un campione di n=174 pazienti.</p> <p>Le variabili prese in considerazione per lo studio del data set sono 21:</p> <ul> <li> <p>ID_Pazient: variabile quantitativa continua, indica il numero di identificazione del paziente</p> </li> <li> <p>Sex: variabile dicotomica, indica il sesso del paziente (Maschio=0, Femmina=1)</p> </li> <li> <p>Age: variabile quantitativa continua, indica l'età del paziente nel momento in cui è stata effettuata la valutazione</p> </li> <li> <p>EMG_Control: variabile dicotomica, indica la capacità (Si=1) o meno (No=0) del soggetto di controllare il dispositivo con i propri segnali elettromiografici</p> </li> <li> <p>Force_Control: variabile dicotomica, indica la capacità (Si=1) o meno (No=0) del paziente di controllare il dispositivo con la propria forza</p> </li> <li> <p>Month_Injury: variabile quantitativa continua, indica i mesi trascorsi dalla data in cui è avvenuto l'ictus</p> </li> <li> <p>Diagnosis: variabile dicotomica, indica la tipologia di ictus: (Ischemico=0, Emorragico =1)</p> </li> <li> <p>Hemisphere: variabile dicotomica, indica quale emisfero cerebrale è stato colpito dall'ictus (Destro=0, Sinistro=1)</p> </li> <li> <p>FM_UE: variabile quantitativa discreta, indica la misura della funzione motoria dell'arto superiore determinata somministrando la scala Fugl-Meyer Upper Extremity</p> </li> <li> <p>Sensitivity: variabile quantitativa discreta, indica la sezione per la misura della sensibilità della scala Fugl-Meyer</p> </li> <li> <p>Pain_ROM: variabile quantitativa discreta, indica la sezione per la misura di articolarità e dolore della scala Fugl-Meyer</p> </li> <li> <p>FIM: variabile quantitativa discreta, indica la misura di autonomia della persona nelle attività della vita quotidiana, determinata dalla somministrazione della scala Functional Independence Measure</p> </li> <li> <p>RPS: variabile quantitativa discreta, indica la misura della funzione di raggiungimento di un oggetto</p> </li> <li> <p>Peg_Sec: variabile quantitativa continua, indica la misura della destrezza manuale fine e coincide con il rapporto tra il numero di pioli e i secondi impiegati per inserirli in uno specifico supporto</p> </li> <li> <p>PectMaj: variabile qualitativa ordinata, indica la misura della spasticità del pettorale, secondo la Modified Ashworth Scale</p> </li> <li> <p>BicBrach: variabile qualitativa ordinata, indica la misura della spasticità del bicipite, secondo la Modified Ashworth Scale</p> </li> <li> <p>FlexCarp: variabile qualitativa ordinata, indica la misura della spasticità del flessore del carpo, secondo la Modified Ashworth Scale</p> </li> <li> <p>FlexProfDig: variabile qualitativa ordinata, indica la misura della spasticità del flessore profondo delle dita, secondo la Modified Ashworth Scale</p> </li> <li> <p>FlexSupDig: variabile qualitativa ordinata, indica la misura della spasticità del flessore superficiale delle dita, secondo la Modified Ashworth Scale</p> </li> <li> <p>Ashworth_TOT: variabile quantitativa discreta, indica la misura totale della Modified Ashworth Scale, data dalla somma delle 5 variabili precedenti</p> </li> <li> <p>BB_par: variabile quantitativa discreta, indica la misura della destrezza manuale grossolana dell'arto paretico</p> </li> </ul>
Datasets related to article "Electrophysiological signatures of resting state networks predict cognitive deficits in stroke"
<p>DATASET #1 — <strong>Demographical and neurological data</strong></p> <p>The table shows the demographical (age, gender, education) and neurological (etiology, lesion site, lesion size, time since stroke) information for each patient.</p> <p>Gender: M (male), F (female); Etiology: I (ischemic), H (hemorrhagic); Lesion site: C (capsul); T (temporal); F (frontal); Ta (thalamus); O (occipital); P (parietal); MCA (middle cerebral artery); BG (basal ganglia); I (Insula); Pu (putamen); n.a. (data not available).</p> <p> </p> <p>DATASET #2 — <strong>EEG resting state networks (RSNs) maps</strong></p> <p>The folder contains the individual unthresholded EEG RSNs maps reconstructed using temporal Independent Component Analysis (ICA) from EEG signals (64 channels). The present maps were extracted for 6 EEG frequency bands: full band (1-80 HZ), delta, theta, alpha, beta and gamma.</p> <p>14 EEG RSNs were selected on the basis of the spatial overlap with an fMRI-RSN template.</p> <p> </p> <p>DATASET #3 — <strong>Neuropsychological data</strong></p> <p>The table shows the patients’ scores at neuropsychological tests. The assessment included attentional batteries (Behavioural Inattention Test; Attentional matrices) and scales assessing the cognitive and motor independence in everyday life (Functional Independence Measure). Raven’s progressive matrices were also administered.</p>
Data set of article : Using hypnosis in competition period to enhance self-confidence and to reduce anxiety among volleyball players
<p>Abstract: The aim of our research was to test the influence of hypnosis on the evolution of self-confidence and anxiety. Our sample included (N = 7 volleyball players) of a Tunisian Volleyball Team, aged 16 to 24, were followed daily for four weeks to enjoy their training and followed a program practicing the use of hypnosis. To assess the evolution of the psychological variables, participants completed the following questionnaire based on three measurement times (at the beginning of the experiment, after two weeks and at the end of the four weeks): The Competitive State Anxiety Inventory-2 (CSAI-2). The questionnaire (CSAI-2) was obtained statistically significant from the three times analysis of variance (Alpha = .78). A one-way model ANOVA revealed that hypnosis improved for the athletes (p < .01); self-confidence increased (p < .01) and cognitive anxiety decreased (p < .05). Correlation analysis revealed that changes in hypnosis were moderately related to changes in self-confidence (p < .05).The results of the study showed that hypnosis can enhance self-confidence and reduce cognitive anxiety. These observations allow us to guide future interventions with athletes to strengthen them psychologically.</p> <p>Key words: hypnosis, self-confident, anxiety…</p>
dataset related to article "Charcot-Marie-Tooth disease type 2F associated with biallelic HSPB1 mutations"
<p>dataset contains Sanger electropherograms of the HSPB1 p.S135F and p.R136L mutations</p> <p> </p>
Dataset related to article" Missing the pathological expansion in Huntington disease: de novo c.51C>G variant on the expanded allele causing intrafamilial allele dropout"
<p>DATASET CONTAINS Sanger sequencing data of the c.51C>G variant in <em>HTT</em> gene.</p>
Dataset related to article "Numerical Activities of Daily Living – Financial: a short version"
<p>Il dataset contiene i seguenti dati:</p> <ul> <li>colonne B, C, D: i dati socio-demografici dei soggetti, riportati nell’articolo in Tabella 1;</li> <li>colonna E: punteggi grezzi dei soggetti al test MMSE, utilizzati nelle analisi riportate in Tabella 5;</li> <li>colonne dalla F alla CE: punteggi ottenuti al test NADL-F originale e short, utilizzati per le analisi riportate nelle tabelle 3, 4 e 5.</li> </ul>
Dataset related to article: "Association Between Malnutrition and Outcomes in Patients With Severe Ischemic Stroke Undergoing Rehabilitation"
<p>We provide the raw data used for the following article:</p> <ul> <li>Scrutinio D, Lanzillo B, Guida P, Passantino A, Spaccavento S, Battista P.<br> <em>Association Between Malnutrition and Outcomes in Patients With Severe Ischemic Stroke Undergoing Rehabilitation</em><br> "Arch Phys Med Rehabil." 2020 May;101(5):852-860.<br> doi: 10.1016/j.apmr.2019.11.012. Epub 2019 Dec 28. PMID: 31891712.</li> </ul> <p> </p> <p><strong>Abstract</strong><br> <strong>Objective: </strong>To investigate the incremental prognostic significance of malnutrition in patients with severe poststroke disability.<br> <strong>Design: </strong>Retrospective cohort study. The patients were recruited from 3 specialized inpatient rehabilitation facilities. Nutritional status was assessed using the Prognostic Nutritional Index (PNI), which is calculated from serum albumin and total lymphocyte count. Scores >38 points reflect normal nutrition status, scores of 35-38 indicate moderate malnutrition, and scores <35 indicate severe malnutrition. The association of PNI categories with outcomes was assessed using multivariable regression analyses.<br> <strong>Setting: </strong>Inpatient rehabilitation facility.<br> <strong>Participants:</strong> Patients (NZ668) with ischemic stroke admitted to inpatient rehabilitation within 90 days from stroke occurrence and classified as Case-Mix Groups 0108, 0109, and 0110 of the current Medicare case-mix classification system.<br> <strong>Interventions: </strong>Not applicable.<br> <strong>Main Outcome Measures:</strong> Three outcomes were examined: (1) the combined outcome of transfer to acute care and death within 90 days from admission to rehabilitation; (2) 2-year mortality; and (3) FIM motor effectiveness, calculated as (FIM motor change/maximum FIM motoradmission FIM motor score)100.<br> <strong>Results: </strong>Overall, the median time to rehabilitation admission was 18 days (range, 12-26 days). The prevalence of moderate and severe malnutrition was 12.7% and 11.5%, respectively. Ninety-one patients (13.6%) experienced the combined outcome. After adjusting for independent predictors including sex, atrial fibrillation, dysphagia, FIM cognitive score, and hemoglobin levels, neither moderate (PZ.280) nor severe malnutrition (PZ.482) were associated with the combined outcome. Similar results were observed when looking at 2-year mortality. Overall, FIM motor effectiveness was 30%24%. After adjusting for independent predictors, severe malnutrition (b coefficient 0.4580.216; PZ.034) was associated with FIM motor effectiveness.<br> <strong>Conclusions:</strong> Approximately 1 in every 9 patients presented severe malnutrition. On top of the independent predictors, severe malnutrition did not provide additional prognostic information concerning risk of the combined outcome or 2-year mortality. Conversely, severe malnutrition was associated with poorer functional outcome as expressed by FIM motor effectiveness.</p>
Dataset related to article: "Pain, disability and adherence to home exercises in patients with chronic neck pain: long term effects of phone surveillance. A randomized controlled study"
<p>We provide the raw data used for the following article:</p> <ul> <li>Gialanella B, Comini L, Olivares A, Gelmini E, Ubertini E, Grioni G.<br> <em>Pain, disability and adherence to home exercises in patients with chronic neck pain: long term effects of phone surveillance. A randomized controlled study.</em><br> "Eur J Phys Rehabil Med." 2020 Feb;56(1):104-111. doi: 10.23736/S1973-9087.19.05686-7. Epub 2019 Jun 4. PMID: 31165606.</li> </ul> <p> </p> <p><strong>ABSTRACT<br> BACKGROUND: </strong>Effectiveness of phone surveillance and other communication technologies in the management of neck pain patients have been evaluated previously only at the suspension of the service.<br> <strong>AIM: </strong>To verify whether a phone surveillance program can improve pain, disability, and adherence to home exercises in neck pain patients, and whether the improvement achieved continues to be maintained also after suspension of the support.<br> <strong>DESIGN:</strong> This is a randomized controlled study.<br> <strong>SETTING:</strong> Outpatients of Rehabilitation Unit.<br> <strong>POPULATION:</strong> 84 out of 100 outpatients consecutively randomized (by blocks of four) to Phone group (N.=42, performing a 6-month home-based phone surveillance program) or to Control group (N.=42, with the only recommendation to continue exercising at home without phone surveillance) were considered. The home-based phone surveillance program consisted of 12 scheduled phone calls, each performed every fortnight by a nurse-tutor with expertise in rehabilitation for the first six months of the study. At the end of phone surveillance period, Phone patients were encouraged to continue home exercises for a further 6 months period.<br> <strong>METHODS:</strong> Pain severity (assessed with Pain VAS), disability (Neck Disability Index), and adherence to exercises performed at home (classified as: ≥5 sessions/week, 2-4 sessions/week, occasional or no sessions) were outcome measures. Pain severity and disability were assessed at entry, at 6 and 12 months, while adherence to exercises was self-reported and recorded at 6 and 12 months. Differences between groups were analyzed with χ2 test, Student’s t-test or ANOVA.<br> <strong>RESULTS:</strong> At 6 months, Pain VAS (P=0.013) and Neck Disability Index scores (P=0.012) were lower in Phone patients than Controls. At 12 months, Neck Disability Index scores (P=0.026) continued to be lower in Phone patients than Controls. At 6 months, 97.6% of Phone patients and 80.9% of Controls performed rehabilitation at home with a range of 2 to 7 sessions/week; while at 12 months, the respective percentages of Phone and Control patients were 92.9% and 73.8%. Adherence to home exercises was higher in Phone patients than in Controls at 6 (P=0.013) and 12 months (P=0.019).<br> <strong>CONCLUSIONS: </strong>In patients with chronic neck pain, the positive effects of phone surveillance on the neck disability and adherence to home exercises still persist 6 months after the suspension of the support.<br> <strong>CLINICAL REHABILITATION IMPACT:</strong> This knowledge can be useful for physicians to plan home rehabilitation of neck pain patients.</p>
Dataset related to article: "Functional recovery in hip fracture patients: the role of pharmacotherapy"
<p>We provide the raw data used for the following article:</p> <ul> <li>Gialanella B, Santoro R, Prometti P, Giordano A, Monguzzi V, Comini L, Olivares A, Grioni G.<br> <em>Functional recovery in hip fracture patients: the role of pharmacotherapy</em>.<br> "Aging Clin Exp Res." 2020 Jan;32(1):49-57.<br> doi: 10.1007/s40520-019-01175-w. Epub 2019 Mar 21. PMID: 30900212.</li> </ul> <p><strong>Background and aim: </strong>The aim of this prospective observational cohort study was to verify the relationship between number of drugs used and functional outcome in hip fracture patients undergoing rehabilitation.</p> <p><strong>Methods: </strong>This study was conducted on 139 patients with hip fracture who underwent a rehabilitation program. Efficiency rate in the Functional Independence Measure (FIM) and Berg Balance Scale (BBS), and length of stay (LOS) were the outcome measures.</p> <p><strong>Results: </strong>At the end of rehabilitation, 66.1% of patients showed an increase in number of drugs used, while 33.9% used the same or lower number of drugs than at admission. At the end of rehabilitation patients with increased pharmacotherapy took a higher total number of drug classes (p = 0.001), had longer LOS (p = 0.009) and lower Berg efficiency (p = 0.048) than patients with the same or lower pharmacotherapy. The number of drugs used at discharge was an independent determinant of LOS (beta = 0.19, p = 0.022) and FIM efficiency (beta = - 0.20, p = 0.025). Age was a determinant of LOS (beta = 0.17, p = 0.044) and BBS efficiency (beta = - 0.23, p = 0.009), while CIRS severity was a determinant of BBS efficiency only (beta = - 0.22, p = 0.016).</p> <p><strong>Discussion: </strong>Findings of study indicate that in hip fracture patients, the number of drugs prescribed at discharge is an important indicator of LOS and rehabilitation efficiency.</p> <p><strong>Conclusions: </strong>These findings can help the physician to better plan the rehabilitation of hip fracture patients who require polypharmacy.</p>
Dataset related to article: "Minimal Clinically Important Difference in Barthel Index Dyspnea in Patients with COPD "
<p>We provide the raw data used for the following article:</p> <ul> <li> <p>Vitacca M, Malovini A, Balbi B, Aliani M, Cirio S, Spanevello A, Fracchia C, Maniscalco M, Corica G, Ambrosino N, Paneroni M.<br> <em>Minimal Clinically Important Difference in Barthel Index Dyspnea in Patients with COPD.</em><br> "Int J Chron Obstruct Pulmon Dis". 2020 Oct 21;15:2591-2599. doi: 10.2147/COPD.S266243. PMID: 33116476; PMCID: PMC7585803.</p> </li> </ul> <p><br> <strong>Abstract<br> Background: </strong> The Barthel Index dyspnea (BId) is responsive to physiological changes and pulmonary rehabilitation in patients with chronic obstructive pulmonary disease (COPD). However, the minimum clinically important difference (MCID) has not been established yet.<br> <strong>Aim: </strong> To identify the MCID of BId in patients with COPD stratified according to the presence of chronic respiratory failure (CRF) or not.<br> <strong>Materials and methods: </strong> Using the Medical Research Council (MRC) score as an anchor, receiver operating characteristic curves and quantile regression were retrospectively evaluated before and after pulmonary rehabilitation in 2327 patients with COPD (1151 of them with CRF).<br> <strong>Results: </strong> The median post-rehabilitation changes in BId for all patients were -10 (interquartile range = -17 to -3, p<0.001), correlating significantly with changes in MRC (r = 0.57, 95% CI = 0.53 to 0.59, p<0.001). Comparing different methods of assessment, the MCID ranged from -6.5 to -9 points for patients without and -7.5 to -12 points for patients with CRF.<br> <strong>Conclusion: </strong> The most conservative estimate of the MCID is -9 points in patients with COPD, without and -12 in those with CRF. This estimate may be useful in the clinical interpretation of data, particularly in response to intervention studies.</p>
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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.