Lung Auscultation Using the Smartphone-Feasibility Study in Real-World Clinical Practice.
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ABSTRACT:
SUBMITTER: Ferreira-Cardoso H
PROVIDER: S-EPMC8309818 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundUsing smartphones to enroll, obtain consent, and gather self-reported data from patients has the potential to enhance our understanding of disease burden and quantify physiological impact in the real world. It may also be possible to harness integral smartphone sensors to facilitate remote collection of clinically relevant data.ObjectiveWe conducted the Patient Rheumatoid Arthritis Data From the Real World (PARADE) observational study using a customized ResearchKit app with a bring-your-own-device approach. Our objective was to assess the feasibility of using an entirely digital approach (social media and smartphone app) to conduct a real-world observational study of patients with rheumatoid arthritis.MethodsWe conducted this observational study using a customized ResearchKit app with a bring-your-own-device approach. To recruit patients, the PARADE app, designed to guide patients through a series of tasks, was publicized via social media platforms and made available for patients in the United States to download from the Apple App Store. We collected patient-reported data, such as medical history, rheumatoid arthritis-related medications (past and present), and a range of patient-reported outcome measures. We included in the assessment a joint-pain map and a novel objective assessment of wrist range of movement, measured by the smartphone-embedded gyroscope and accelerometer.ResultsWithin 1 month of recruitment via social media campaigns, 399 participants self-enrolled, self-consented, and provided complete demographic data. Joint pain was the most frequently reported rheumatoid arthritis symptom to bother study participants (344/393, 87.5%). Severe patient-reported wrist pain appeared to be inversely linked with the range of wrist movement measured objectively by the app. At study entry, 292 of 399 participants (73.2%) indicated a preference for participating in a mobile app-based study. The number of participants in the study declined to 45 of 399 (11.3%) at week 12.ConclusionsDespite the declining number of participants over time, the combination of social media and smartphone app with sensor integration was a feasible and cost-effective approach for the collection of patient-reported data in rheumatoid arthritis. Integral sensors within smartphones can be harnessed to provide novel end points, and the novel wrist range of movement test warrants further clinical validation.
| S-EPMC6231853 | biostudies-literature
Project description:ImportanceAlthough randomized clinical trials are considered to be the criterion standard for generating clinical evidence, the use of real-world evidence to evaluate the efficacy and safety of medical interventions is gaining interest. Whether observational data can be used to address the same clinical questions being answered by traditional clinical trials is still unclear.ObjectiveTo identify the number of clinical trials published in high-impact journals in 2017 that could be feasibly replicated using observational data from insurance claims and/or electronic health records (EHRs).Design, setting, and participantsIn this cross-sectional analysis, PubMed was searched to identify all US-based clinical trials, regardless of randomization, published between January 1, 2017, and December 31, 2017, in the top 7 highest-impact general medical journals of 2017. Trials were excluded if they did not involve human participants, did not use end points that represented clinical outcomes among patients, were not characterized as clinical trials, and had no recruitment sites in the United States.Main outcomes and measuresThe primary outcomes were the number and percentage of trials for which the intervention, indication, trial inclusion and exclusion criteria, and primary end points could be ascertained from insurance claims and/or EHR data.ResultsOf the 220 US-based trials analyzed, 33 (15.0%) could be replicated using observational data because their intervention, indication, inclusion and exclusion criteria, and primary end points could be routinely ascertained from insurance claims and/or EHR data. Of the 220 trials, 86 (39.1%) had an intervention that could be ascertained from insurance claims and/or EHR data. Among the 86 trials, 62 (72.1%) had an indication that could be ascertained. Forty-five (72.6%) of 62 trials had at least 80% of inclusion and exclusion criteria data that could be ascertained. Of these 45 studies, 33 (73.3%) had at least 1 primary end point that could be ascertained.Conclusions and relevanceThis study found that only 15% of the US-based clinical trials published in high-impact journals in 2017 could be feasibly replicated through analysis of administrative claims or EHR data. This finding suggests the potential for real-world evidence to complement clinical trials, both by examining the concordance between randomized experiments and observational studies and by comparing the generalizability of the trial population with the real-world population of interest.
| S-EPMC6802419 | biostudies-literature
Project description:BackgroundTo determine which components should be measured and which window settings are appropriate for computerized tomography (CT) size measurements of lung adenocarcinoma (ADC) and to explore interobserver agreement and accuracy according to the eighth edition of TNM staging.MethodsA total of 165 patients with surgically resected lung ADC earlier than stage 3A were included in this study. One radiologist and two pulmonologists independently measured the total and solid sizes of components of tumors on different window settings and assessed solidity. CT measurements were compared with pathologic size measurements.ResultsIn categorizing solidity, 25% of the cases showed discordant results among observers. Measuring the total size of a lung adenocarcinoma predicted pathologic invasive components to a degree similar to measuring the solid component. Lung windows were more accurate (intraclass correlation [ICC] = 0.65-0.81) than mediastinal windows (ICC = 0.20-0.72) at predicting pathologic invasive components, especially in a part-solid nodule. Interobserver agreements for measurement of solid components were good with little significant difference (lung windows, ICC = 0.89; mediastinal windows, ICC = 0.91). A high level of interobserver agreement was seen between the radiologist and pulmonologists and between residents (from the division of pulmonology and critical care) versus a fellow (from the division of pulmonology and critical care) on different windows.ConclusionsA considerable percentage (25%) of discrepancies was encountered in categorizing the solidity of lesions, which may decrease the accuracy of measurements. Lung window settings may be superior to mediastinal windows for measuring lung ADCs, with comparable interobserver agreement and moderate accuracy for predicting pathologic invasive components.Key pointsSIGNIFICANT FINDINGS OF THE STUDY: Lung window settings are better for evaluating part-solid lung adenocarcinoma (ADC), with comparable interobserver agreement and moderate accuracy for predicting pathologic invasive components. The considerable percentage (25%) of discrepancies in categorizing solidity of the lesions may also have decreased the accuracy of measurements.What this study addsFor accurate measurement and categorization of lung ADC, robust quantitative analysis is needed rather than a simple visual assessment.
| S-EPMC7705618 | biostudies-literature
Project description:PurposeTo assess the feasibility of using Clinical Practice Research Datalink (CPRD) data for identifying populations of patients with chronic obstructive pulmonary disease (COPD) eligible for a hypothetical pragmatic trial.MethodsA retrospective multidatabase cohort study using CPRD primary care and linked secondary care data to describe the characteristics of populations of patients with COPD. Patients' demographic and lifestyle factors, comorbidity profile, spirometry measurements and treatment changes were evaluated, as was the distribution of follow-up time and types of losses during follow-up. Characteristics were evaluated using descriptive statistics.ResultsA total of 322 991 patients from 1148 primary care practices in the United Kingdom across two CPRD primary care databases, CPRD GOLD and CPRD Aurum, were potentially eligible to participate in a hypothetical trial using CPRD, starting on 31 December 2017. Patients with COPD in CPRD GOLD and CPRD Aurum were comparable in terms of age (median age 70 vs. 68 years), gender (50% vs. 52% male), disease severity (e.g., 25% vs. 24% Medical Research Council [MRC] dyspnoea score grades 3-5) and history of respiratory conditions (e.g., 43% vs. 38% asthma). High proportions of patients with COPD in CPRD GOLD and CPRD Aurum were available on 31 December 2012 for follow-up at 1, 2, and 5 years (92%, 85% and 67%, respectively).ConclusionsPatients and data from CPRD GOLD and CPRD Aurum were comparable across key aspects relevant to COPD trials. A pragmatic trial using CPRD to recruit patients with COPD is scientifically feasible.
| S-EPMC7986187 | biostudies-literature
Project description:PurposeTo develop and evaluate machine learning models based on MRI to predict clinically significant prostate cancer (csPCa) and International Society of Urological Pathology (ISUP) grade group as well as explore the potential value of radiomics models for improving the performance of radiologists for Prostate Imaging Reporting and Data System (PI-RADS) assessment.Material and methodsA total of 1616 patients from 4 tertiary care medical centers were retrospectively enrolled. PI-RADS assessments were performed by junior, senior, and expert-level radiologists. The radiomics models for predicting csPCa were built using 4 machine-learning algorithms. The PI-RADS were adjusted by the radiomics model. The relationship between the Rad-score and ISUP was evaluated by Spearman analysis.ResultsThe radiomics models made using the random forest algorithm yielded areas under the receiver operating characteristic curves (AUCs) of 0.874, 0.876, and 0.893 in an internal testing cohort and external testing cohorts, respectively. The AUC of the adjusted_PI-RADS was improved, and the specificity was improved at a slight sacrifice of sensitivity. The participant-level correlation showed that the Rad-score was positively correlated with ISUP in all testing cohorts (r > 0.600 and p < 0.0001).ConclusionsThis radiomics model resulted as a powerful, non-invasive auxiliary tool for accurately predicting prostate cancer aggressiveness. The radiomics model could reduce unnecessary biopsies and help improve the diagnostic performance of radiologists' PI-RADS. Yet, prospective studies are still needed to validate the radiomics models further.Critical relevance statementThe radiomics model with MRI may help to accurately screen out clinically significant prostate cancer, thereby assisting physicians in making individualized treatment plans.Key points• The diagnostic performance of the radiomics model using the Random Forest algorithm is comparable to the Prostate Imaging Reporting and Data System (PI-RADS) obtained by radiologists. • The performance of the adjusted Prostate Imaging Reporting and Data System (PI-RADS) was improved, which implied that the radiomics model could be a potential radiological assessment tool. • The radiomics model lowered the percentage of equivocal cases. Moreover, the Rad-scores can be used to characterize prostate cancer aggressiveness.
| S-EPMC10904705 | biostudies-literature
Project description:Urothelial carcinoma (UC) of the urinary bladder has significant challenges in treatment due to its diverse genetic landscape and variable response to systemic therapy. In recent years, patient-derived organoids (PDOs) emerged as a novel tool to model primary tumors with higher resemblance than conventional 2D cell culture approaches. However, the potential of organoids to predict therapy response in a clinical setting remains to be evaluated. This study explores the clinical feasibility of PDOs for pharmacotyping in UC. Initially, we subjected tumor tissue specimens from 50 patients undergoing transurethral resection or radical cystectomy to organoid propagation, of whom 19 (38%) yielded PDOs suitable for drug sensitivity assessment. Notably, whole transcriptome-based analysis indicated that PDOs may show phenotypes distinct from their parental tumor tissue. Pharmacotyping within a clinically relevant timeframe [mean of 35.44 and 55 days for non-muscle invasive bladder cancer (NMIBC) and muscle invasive bladder cancer (MIBC), respectively] was achieved. Drug sensitivity analyses revealed marked differences between NMIBC and MIBC, with MIBC-derived organoids demonstrating higher chemosensitivity toward clinically relevant drugs. A case study correlating organoid response with patient treatment outcome illustrated the complexity of predicting chemotherapy efficacy, especially considering the rapid acquisition of drug resistance. We propose a workflow of prospective organoid-based pharmacotyping in UC, enabling further translational research and integration of this approach into clinical practice.
2024-11-03 | GSE280749 | GEO
Project description:IntroductionCeftazidime-avibactam has proven activity against multidrug-resistant (MDR) bacteria in clinical trials and real-world studies. This study was conducted to describe the patterns of use of ceftazidime-avibactam (including indications and associated antibiotics), and the effectiveness and safety of ceftazidime-avibactam in real-world clinical practice.MethodsThis non-interventional medical chart review study was conducted in 11 countries across the European and Latin American (LATAM) regions. Consecutive patients treated in clinical practice with at least one dose of ceftazidime-avibactam for an approved indication per country label since 01 January 2018 (or launch date in the country if posterior) were enrolled. Effectiveness analyses were conducted in patients treated with ceftazidime-avibactam for at least 72 h.ResultsOf the 569 eligible patients enrolled, 516 (90.7%) were treated for at least 72 h (354 patients from Europe and 162 patients from LATAM); 390 patients (75.7%) had switched from another antibiotic line for Gram-negative coverage. Infection sources were intra-abdominal, urinary, respiratory, bloodstream infections, and other infections (approximately 20% each). K. pneumoniae was the most common microorganism identified in the latest microbiological evaluation before starting ceftazidime-avibactam (59.3%). Two-thirds of microorganisms tested for susceptibility were MDR, of which 89.3% were carbapenem-resistant. The common MDR mechanisms for K. pneumoniae were carbapenemase (33.9%), oxacillinase 48 (25.2%), extended-spectrum beta-lactamase (21.5%), or metallo-beta-lactamase (14.2%) production. Without prior patient exposure, 17 isolates (mostly K. pneumoniae) were resistant to ceftazidime-avibactam. Treatment success was achieved in 77.3% of patients overall (88.3% among patients with urinary infection), regardless of first or second treatment line. In-hospital mortality rate was 23.1%. Adverse events were reported for six of the 569 patients enrolled.ConclusionThis study provides important real-world evidence on treatment patterns, effectiveness, and safety of ceftazidime-avibactam in clinical practice through its recruitment in the European and LATAM regions. Ceftazidime-avibactam is one of the antibiotics to consider for treatment of MDR bacteria.Trial registrationClinicalTrials.gov identifier, NCT03923426.
| S-EPMC9912999 | biostudies-literature
Project description:BackgroundSeveral lipid guidelines recommend that proprotein convertase subtilisin/kexin type 9 inhibitors should be considered for patients with atherosclerotic cardiovascular disease who are inadequately treated with maximally tolerated lipid-lowering treatment.ObjectivesThe PEARL study assessed the efficacy and safety of the proprotein convertase subtilisin/kexin type 9 inhibitor alirocumab in patients with hypercholesterolemia in a real-world setting.MethodsPEARL was an open, prospective, multicenter, non-interventional study conducted in Germany. Patients (n = 619) for whom treating physicians decided to use alirocumab 75 or 150 mg every 2 weeks according to German guidelines (low-density lipoprotein cholesterol > 1.8/2.6 mmol/L [> 70/100 mg/dL], depending on cardiovascular risk, despite maximally tolerated statin therapy with/without other non-alirocumab lipid-lowering therapy) were enrolled and followed for 24 weeks. Physicians could adjust the alirocumab dose based on their clinical judgment. The primary efficacy endpoint was low-density lipoprotein cholesterol reduction from baseline (prior to alirocumab therapy) to week 24.ResultsOverall, 72.8% of patients reported complete or partial statin intolerance. Mean low-density lipoprotein cholesterol was 4.7 mmol/L (180.5 mg/dL) and 2.3 mmol/L (89.8 mg/dL) at baseline and week 24, respectively. Least-squares mean percentage change from baseline to week 24 in low-density lipoprotein cholesterol was - 48.6%. Initial alirocumab dose was 75 mg in 72.9% of patients and 150 mg in 24.5% of patients; 19.6% of patients received an alirocumab dose increase (75 to 150 mg) and 1.6% of patients received a dose decrease. Adverse events were reported in 10.3% of patients, with myalgia being the most common.ConclusionsIn a real-world setting in Germany, alirocumab was used in patients who had high baseline low-density lipoprotein cholesterol levels with/without statin intolerance. Efficacy and safety were consistent with findings observed in the ODYSSEY Phase III program.
| S-EPMC6702526 | biostudies-literature
Project description:ObjectivesAccording to the 10th revision of the International Classification of Diseases, the main categories of tic disorders (F95.0, F95.1, and F95.2) follow a diagnostic hierarchy based on the duration and diversity of tic symptoms. The present study investigated the use of this diagnostic hierarchy in real-world clinical practice.MethodsBased on the National Health Insurance Service-National Health Information Database, the diagnosis of transient tic disorder (F95.0) made after a diagnosis of chronic motor or vocal tic disorder (F95.1) or Tourette's syndrome (F95.2) and diagnosis of chronic motor or vocal tic disorder (F95.1) made after a diagnosis of Tourette's syndrome (F95.2) were referred to as type A errors. The diagnosis of transient tic disorder (F95.0) repeated after a period of >12 months was referred to as type B error. Demographic and clinical differences according to the diagnostic error types were analyzed using analysis of variance, Student's t-tests, and chi-squared tests.ResultsMost participants (96.5%) were without errors in the diagnosis of tic disorders. Higher proportions of males (p=0.005) and antipsychotic prescriptions (p<0.001) were observed in patients with type A or B diagnostic errors. A higher proportion of health insurance holders was observed among those with type A errors (p=0.027).ConclusionErrors were absent in majority of the tic diagnoses in real-world clinical practice in terms of the diagnostic hierarchy.
| S-EPMC10568186 | biostudies-literature
Project description:Fingolimod is a multiple sclerosis treatment licensed in Europe since 2011. Its efficacy has been demonstrated in three large phase III trials, used in the regulatory submissions throughout the world. As usual, in these trials the inclusion and exclusion criteria were designed to obtain a homogeneous population, with interchangeable characteristics in the different treatment arms. Although this is the best strategy to achieve a robust answer to the investigation question, it does not guaranty the treatment efficacy in the clinical practice, since in the real world there are concomitant treatments, comorbidities, adherence, and persistence challenges. But, to make informed treatment decision for a real life patient, we need to have evidence of the treatment efficacy, what has been called treatment effectiveness. This work aims to review fingolimod effectiveness, using, as source of information, abstracts, posters, and manuscripts. This unorthodox strategy was developed because more than half of the published experience with fingolimod is still on abstracts and posters. Only a small part of the studies reviewed are already published in peer reviewed journals. Fingolimod seems to be, at least, as effective and safe as it was on clinical trials, and with its long-term experience no new safety signals were observed.
| S-EPMC4674597 | biostudies-literature