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BMC Geriatrics Jun 202440-60% of persons living with dementia (PLWD) experience agitation and/or aggression symptoms. There is a need to understand the best method to detect agitation and/or...
OBJECTIVE
40-60% of persons living with dementia (PLWD) experience agitation and/or aggression symptoms. There is a need to understand the best method to detect agitation and/or aggression in PLWD. We aimed to identify agitation and/or aggression tools that are validated against a reference standard within the context of PLWD.
METHODS
Our study was registered on PROSPERO (CRD42020156708). We searched MEDLINE, Embase, and PsycINFO up to April 22, 2024. There were no language or date restrictions. Studies were included if they used any tools or questionnaires for detecting either agitation or aggression compared to a reference standard among PLWD, or any studies that compared two or more agitation and/or aggression tools in the population. All screening and data extraction were done in duplicates. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool. Data extraction was completed in duplicates by two independent authors. We extracted demographic information, prevalence of agitation and/or aggression, and diagnostic accuracy measures. We also reported studies comparing the correlation between two or more agitation and/or aggression tools.
RESULTS
6961 articles were screened across databases. Six articles reporting diagnostic accuracy measures compared to a reference standard and 30 articles reporting correlation measurements between tools were included. The agitation domain of the Spanish NPI demonstrated the highest sensitivity (100%) against the agitation subsection of the Spanish CAMDEX. Single-study evidence was found for the diagnostic accuracy of commonly used agitation scales (BEHAVE-AD, NPI and CMAI).
CONCLUSIONS
The agitation domain of the Spanish NPI, the NBRS, and the PAS demonstrated high sensitivities, and may be reasonable for clinical implementation. However, a limitation to this finding is that despite an extensive search, few studies with diagnostic accuracy measurements were identified. Ultimately, more research is needed to understand the diagnostic accuracy of agitation and/or aggression detection tools among PLWD.
Topics: Humans; Aggression; Psychomotor Agitation; Dementia
PubMed: 38926638
DOI: 10.1186/s12877-024-05143-6 -
Journal of Clinical Epidemiology Jun 2024Prognostic models have the potential to aid clinical decision-making after hip fracture. This systematic review aimed to identify, critically appraise and summarise...
Systematic review of multivariable prognostic models for outcomes at least 30 days after hip fracture finds 18 mortality models but no non-mortality models warranting validation.
OBJECTIVE
Prognostic models have the potential to aid clinical decision-making after hip fracture. This systematic review aimed to identify, critically appraise and summarise multivariable prediction models for mortality or other long-term recovery outcomes occurring at least 30 days after hip fracture.
STUDY DESIGN
MEDLINE, Embase, Scopus, Web of Science and CINAHL databases were searched up to May 2023. Studies were included that aimed to develop multivariable models to make predictions for individuals at least 30 days after hip fracture. Risk of bias (ROB) was dual-assessed using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). Study and model details were extracted and summarised.
RESULTS
From 5,571 records, 80 eligible studies were identified. They predicted mortality in n=55 studies/ 81 models, and non-mortality outcomes (mobility, function, residence, medical and surgical complications) in n=30 studies/ 45 models. Most (n=46; 58%) studies were published since 2020. A quarter of studies (n=19; 24%) reported using 'machine-learning methods', while the remainder used logistic regression (n=54; 68%) and other statistical methods (n=11; 14%) to build models. Overall, 15 studies (19%) presented 18 low ROB models, all predicting mortality. Common concerns were sample size, missing data handling, inadequate internal validation and calibration assessment. Many studies with non-mortality outcomes, (n=11; 37%) had clear data complexities that were not correctly modelled.
CONCLUSION
This review has comprehensively summarised and appraised multivariable prediction models for long-term outcomes after hip fracture. Only 15 studies out of 55 predicting mortality were rated as low ROB, warranting further development of their models. All studies predicting non-mortality outcomes were high or unclear ROB. Careful consideration is required for both the methods used and justification for developing further non-mortality prediction models for this clinical population.
PubMed: 38925343
DOI: 10.1016/j.jclinepi.2024.111439 -
Complementary Therapies in Clinical... Jun 2024Sleep disturbance is a very common problem among breast cancer patients, and auricular acupressure is a non-pharmacologic intervention to improve the sleep quality. This... (Review)
Review
BACKGROUND AND PURPOSE
Sleep disturbance is a very common problem among breast cancer patients, and auricular acupressure is a non-pharmacologic intervention to improve the sleep quality. This study aimed to investigate the effectiveness and safety of auricular acupressure to improve sleep quality in breast cancer patients.
METHODS
Overall, 8 electronic databases in English and Chinese were systematically searched from inception to August 12, 2023 to identify eligible randomized controlled trials (RCTs). The risk of bias was assessed by version 2 of the Cochrane risk-of-bias tool for randomized trials (RoB 2.0).
RESULTS
A total of 16 studies with 1199 participants were included. The synthesized results showed that compared with the control group, auricular acupressure had a significant effect on improving the effective rate of sleep quality improvement in patients with breast cancer (risk ratio [RR] 1.56, 95 % confidence interval [CI] 1.14 to 2.14; P < 0.001), and that significantly reduced the Pittsburgh Sleep Quality Index (PSQI) global score (mean difference [MD] -3.47, 95 % CI -4.37 to -2.58; P < 0.001). Subgroup analysis of effective rate and PSQI score showed similar significant effects. Additionally, the improvement of sleep quality was better when auricular acupressure was performed by nurses using Vaccaria seeds. Furthermore, the optimal intervention program was performed 1-2 times a day, 3-5 min each time, and lasted for 2-4 weeks.
CONCLUSION
Auricular acupressure may effectively improve the sleep quality of patients with breast cancer. However, more rigorously designed, large-sample, multi-center RCTs are required to further validate the results.
PubMed: 38925078
DOI: 10.1016/j.ctcp.2024.101876 -
Journal of Traumatic Stress Jun 2024Prolonged grief symptoms frequently co-occur with symptoms of depression, posttraumatic stress, and anxiety; however, little is known about how prolonged grief symptoms...
Prolonged grief symptoms frequently co-occur with symptoms of depression, posttraumatic stress, and anxiety; however, little is known about how prolonged grief symptoms temporally relate to symptoms of neighboring stress-related and affective disorders. Clarifying such associations can help elucidate which symptoms to prioritize during treatment for distressed bereaved adults. We conducted a systematic review to provide a comprehensive overview of the empirical research on the bidirectional temporal associations between prolonged grief symptoms and symptoms of depression, posttraumatic stress, and anxiety. A search of the PsycInfo, Web of Science, and Scopus databases (final search: December 2023) identified eight relevant empirical longitudinal studies utilizing lower-level mediation (two studies), cross-lagged panel modeling (CLPM; four studies), or random-intercept CLPM (RI-CLPM; two studies). The studies included a total of 2,914 bereaved adult participants. Studies showed considerable methodological heterogeneity, including different sample characteristics, study designs (e.g., measurement moments, time frames), statistical analyses, and measures. Temporal associations between prolonged grief symptoms and different types of symptoms appeared intertwined. Prolonged grief symptoms more consistently predicted symptoms of depression and posttraumatic stress across measurement waves than vice versa, tentatively suggesting that prolonged grief may be a transdiagnostic risk factor for depressive and PTS symptoms. However, this pattern was not observed in the two studies utilizing RI-CLPM. Future research should aim to decrease methodological heterogeneity by using validated measures to capture prolonged grief symptoms, appropriate timeframes, and RI-CLPM to clarify associations between temporal within-person fluctuations of prolonged grief, depressive, posttraumatic stress, and anxiety symptoms.
PubMed: 38924632
DOI: 10.1002/jts.23061 -
ESC Heart Failure Jun 2024Biomarkers are paramount for managing heart failure (HF) patients as prognostic and therapeutic efficacy index tools. Systemic levels of brain-derived neurotrophic...
AIMS
Biomarkers are paramount for managing heart failure (HF) patients as prognostic and therapeutic efficacy index tools. Systemic levels of brain-derived neurotrophic factor (BDNF) can add to the HF biomarker scenario, allowing for potentiated efficacy in diagnosis, prognostic stratification, and prediction of patient response to a given therapeutic intervention because BDNF is one of the primary rulers of myocardial function. Yet, whether BDNF is a reliable clinical biomarker awaits clinical validation. Hence, we aimed to answer this relevant question via a systematic review and meta-analysis of existing studies.
METHODS AND RESULTS
International databases, including PubMed, Scopus, Embase, and the Web of Science, were comprehensively searched for studies assessing BDNF levels in patients with HF versus non-HF controls or as a prognostic factor for HF complications. Data were extracted and analysed by random-effect meta-analysis. Standardized mean difference (SMD) and 95% confidence intervals (CIs) were computed to pool the results of studies. We included 11 studies in the final review, among which six underwent meta-analysis. These studies analysed 1420 HF patients, with a mean age of 65.4 ± 11.2 years. Meta-analysis revealed that patients with HF had significantly lower circulating BDNF levels than healthy controls (SMD -2.47, 95% CI -4.39 to -0.54, P-value = 0.01). Moreover, patients with higher New York Heart Association functional classification had lower levels of BDNF. Adverse clinical outcomes such as all-cause mortality and HF rehospitalization were also associated with lower levels of BDNF in individual studies.
CONCLUSIONS
BDNF levels are decreased in patients with HF. Most importantly, we observed an association between lower BDNF levels and poor prognosis in patients with HF. Our study supports BDNF as an easy-to-dose diagnostic and prognostic biomarker to be implemented in clinical practice for HF. Further studies are warranted to address this ability specifically.
PubMed: 38923432
DOI: 10.1002/ehf2.14916 -
Toxins Jun 2024We encountered a case of mushroom intoxication complicated by "toxic-like" myocarditis. Because of the lack of systematized knowledge on this subject, we performed a... (Review)
Review
We encountered a case of mushroom intoxication complicated by "toxic-like" myocarditis. Because of the lack of systematized knowledge on this subject, we performed a systematic review of the literature on cardiac toxicity in mushroom poisoning (MP). The aim of this study was to identify and describe the severity, the causal relationship, and the mushroom species involved in other reported cardiac events associated with MP. We included 39 studies in our review. We found 106 cases of cardiac events associated with MP, including 18 deaths. A wide variety of cardiac manifestations were reported, ranging from the simple elevation of cardiac enzymes (n = 61) to ventricular tachycardia (n = 14), acute heart failure (n = 18), and myocarditis (n = 7). Causal relationship between cardiac manifestations and mushroom poisoning was assessed for 42 patients, applying the algorithm validated by the French Toxicovigilance Coordination Committee. Twenty-three cases (54.8%) had a "possible" causal relationship, eight cases (19%) a "probable" relationship, and ten cases (23.8%) a "very probable" relationship. Several fungal genera were involved in reported cases, including but also rarer ones like and . In conclusion, we showed that cases of cardiac toxicity following MP have been documented in the existing literature, and for some of them, we assessed a strong causal relationship.
Topics: Humans; Cardiotoxicity; Mushroom Poisoning; Myocarditis
PubMed: 38922159
DOI: 10.3390/toxins16060265 -
Sports (Basel, Switzerland) Jun 2024The treatment of myofascial pain in athletes requires a set of rehabilitation techniques that aim to be effective quickly. In this context, dry needling (DNY) has shown... (Review)
Review
The treatment of myofascial pain in athletes requires a set of rehabilitation techniques that aim to be effective quickly. In this context, dry needling (DNY) has shown interesting results due to its ability to reduce pain in the short term. Thus, the aim of this study was to investigate the role of DNY in managing myofascial shoulder pain in overhead athletes. PubMed, Scopus and Web of Science were screened up to March 2024, to identify studies that met the following inclusion criteria: overhead athletes with shoulder pain with a DNY approach for myofascial trigger points (MTrPs), RCT, case-control study, feasibility study as the study design. Exclusion criteria were studies that did not include athletes, studies that did not focus on the treatment of MTrPs with DNY, other reviews, no full-text availability and papers written in a language other than English. Out of 399 articles, 165 were excluded as duplicates. Of the 234 articles screened, only 6 articles met the inclusion criteria. A total of 6 studies were included in the systematic review. Initial results showed that DNY improved pain rapidly and in the short term; however, there is still no consensus on the minimum number and the interval between treatments. Major findings reported a rapid potential decrease in perceived pain, shoulder disability and an increase in muscle strength; in this scenario, DNY might be a valid solution in a sports rehabilitation setting.
PubMed: 38921850
DOI: 10.3390/sports12060156 -
Healthcare (Basel, Switzerland) Jun 2024Current evidence suggests that airborne pollutants have a detrimental effect on fetal growth through the emergence of small for gestational age (SGA) or term low birth... (Review)
Review
Current evidence suggests that airborne pollutants have a detrimental effect on fetal growth through the emergence of small for gestational age (SGA) or term low birth weight (TLBW). The study's objective was to critically evaluate the available literature on the association between environmental pollution and the incidence of SGA or TLBW occurrence. A comprehensive literature search was conducted across Pubmed/MEDLINE, Web of Science, Cochrane Library, EMBASE, and Google Scholar using predefined inclusion and exclusion criteria. The methodology adhered to the PRISMA guidelines. The systematic review protocol was registered in PROSPERO with ID number: CRD42022329624. As a result, 69 selected papers described the influence of environmental pollutants on SGA and TLBW occurrence with an Odds Ratios (ORs) of 1.138 for particulate matter ≤ 10 μm (PM), 1.338 for particulate matter ≤ 2.5 μm (PM), 1.173 for ozone (O), 1.287 for sulfur dioxide (SO), and 1.226 for carbon monoxide (CO). All eight studies analyzed validated that exposure to volatile organic compounds (VOCs) is a risk factor for SGA or TLBW. Pregnant women in the high-risk group of SGA occurrence, i.e., those living in urban areas or close to sources of pollution, are at an increased risk of complications. Understanding the exact exposure time of pregnant women could help improve prenatal care and timely intervention for fetuses with SGA. Nevertheless, the pervasive air pollution underscored in our findings suggests a pressing need for adaptive measures in everyday life to mitigate worldwide environmental pollution.
PubMed: 38921290
DOI: 10.3390/healthcare12121176 -
Annals of the Academy of Medicine,... Mar 2024Automated machine learning (autoML) removes technical and technological barriers to building artificial intelligence models. We aimed to summarise the clinical... (Review)
Review
INTRODUCTION
Automated machine learning (autoML) removes technical and technological barriers to building artificial intelligence models. We aimed to summarise the clinical applications of autoML, assess the capabilities of utilised platforms, evaluate the quality of the evidence trialling autoML, and gauge the performance of autoML platforms relative to conventionally developed models, as well as each other.
METHOD
This review adhered to a prospectively registered protocol (PROSPERO identifier CRD42022344427). The Cochrane Library, Embase, MEDLINE and Scopus were searched from inception to 11 July 2022. Two researchers screened abstracts and full texts, extracted data and conducted quality assessment. Disagreement was resolved through discussion and if required, arbitration by a third researcher.
RESULTS
There were 26 distinct autoML platforms featured in 82 studies. Brain and lung disease were the most common fields of study of 22 specialties. AutoML exhibited variable performance: area under the receiver operator characteristic curve (AUCROC) 0.35-1.00, F1-score 0.16-0.99, area under the precision-recall curve (AUPRC) 0.51-1.00. AutoML exhibited the highest AUCROC in 75.6% trials; the highest F1-score in 42.3% trials; and the highest AUPRC in 83.3% trials. In autoML platform comparisons, AutoPrognosis and Amazon Rekognition performed strongest with unstructured and structured data, respectively. Quality of reporting was poor, with a median DECIDE-AI score of 14 of 27.
CONCLUSION
A myriad of autoML platforms have been applied in a variety of clinical contexts. The performance of autoML compares well to bespoke computational and clinical benchmarks. Further work is required to improve the quality of validation studies. AutoML may facilitate a transition to data-centric development, and integration with large language models may enable AI to build itself to fulfil user-defined goals.
Topics: Humans; Machine Learning; Lung Diseases; ROC Curve; Brain Diseases; Area Under Curve
PubMed: 38920245
DOI: 10.47102/annals-acadmedsg.2023113 -
Minerva Urology and Nephrology Jun 2024Artificial intelligence and machine learning are the new frontier in urology; they can assist the diagnostic work-up and in prognostication bring superior to the...
INTRODUCTION
Artificial intelligence and machine learning are the new frontier in urology; they can assist the diagnostic work-up and in prognostication bring superior to the existing nomograms. Infectious events and in particular the septic risk, are one of the most common and in some cases life threatening complication in patients with urolithiasis. We performed a scoping review to provide an overview of the current application of AI in prediction the infectious complications in patients affected by urolithiasis.
EVIDENCE ACQUISITION
A systematic scoping review of the literature was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses for Scoping Reviews (PRISMA-ScR) guidelines by screening Medline, PubMed, and Embase to detect pertinent studies.
EVIDENCE SYNTHESIS
A total of 467 articles were found, of which nine met the inclusion criteria and were considered. All studies are retrospective and published between 2021 and 2023. Only two studies performed an external validation of the described models. The main event considered is urosepsis in four articles, urinary tract infection in two articles and diagnosis of infection stones in three articles. Different AI models were trained, each of which exploited several types and numbers of variables. All studies reveal good performance. Random forest and artificial neural networks seem to have higher AUC, specificity and sensibility and perform better than the traditional statistical analysis.
CONCLUSIONS
Further prospective and multi-institutional studies with external validation are needed to better clarify which variables and AI models should be integrated in our clinical practice to predict infectious events.
Topics: Humans; Urolithiasis; Artificial Intelligence; Urinary Tract Infections; Risk Assessment; Sepsis; Machine Learning
PubMed: 38920010
DOI: 10.23736/S2724-6051.24.05686-6