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Cureus May 2024Non-small cell lung carcinoma (NSCLC) is a prevalent and aggressive form of lung cancer, with a poor prognosis for metastatic disease. Immunotherapy, particularly immune... (Review)
Review
Non-small cell lung carcinoma (NSCLC) is a prevalent and aggressive form of lung cancer, with a poor prognosis for metastatic disease. Immunotherapy, particularly immune checkpoint inhibitors (ICIs), has revolutionized the management of NSCLC, but response rates are highly variable. Identifying reliable predictive biomarkers is crucial to optimize patient selection and treatment outcomes. This systematic review aimed to evaluate the current state of artificial intelligence (AI) and machine learning (ML) applications in predicting the response to immunotherapy in NSCLC. A comprehensive literature search identified 19 studies that met the inclusion criteria. The studies employed diverse AI/ML techniques, including deep learning, artificial neural networks, support vector machines, and gradient boosting methods, applied to various data modalities such as medical imaging, genomic data, clinical variables, and immunohistochemical markers. Several studies demonstrated the ability of AI/ML models to accurately predict immunotherapy response, progression-free survival, and overall survival in NSCLC patients. However, challenges remain in data availability, quality, and interpretability of these models. Efforts have been made to develop interpretable AI/ML techniques, but further research is needed to improve transparency and explainability. Additionally, translating AI/ML models from research settings to clinical practice poses challenges related to regulatory approval, data privacy, and integration into existing healthcare systems. Nonetheless, the successful implementation of AI/ML models could enable personalized treatment strategies, improve treatment outcomes, and reduce unnecessary toxicities and healthcare costs associated with ineffective treatments.
PubMed: 38939246
DOI: 10.7759/cureus.61220 -
Journal of the International AIDS... Jun 2024Evidence-based intervention strategies to improve adherence among individuals living with chronic conditions are critical in ensuring better outcomes. In this systematic...
INTRODUCTION
Evidence-based intervention strategies to improve adherence among individuals living with chronic conditions are critical in ensuring better outcomes. In this systematic review, we assessed the impact of interventions that aimed to promote adherence to treatment for chronic conditions.
METHODS
We systematically searched PubMed, Web of Science, Scopus, Google Scholar and CINAHL databases to identify relevant studies published between the years 2000 and 2023 and used the QUIPS assessment tool to assess the quality and risk of bias of each study. We extracted data from eligible studies for study characteristics and description of interventions for the study populations of interest.
RESULTS
Of the 32,698 total studies/records screened, 2814 were eligible for abstract screening and of those, 497 were eligible for full-text screening. A total of 82 studies were subsequently included, describing a total of 58,043 patients. Of the total included studies, 58 (70.7%) were related to antiretroviral therapy for HIV, 6 (7.3%) were anti-hypertensive medication-related, 12 (14.6%) were anti-diabetic medication-related and 6 (7.3%) focused on medication for more than one condition. A total of 54/82 (65.9%) reported improved adherence based on the described study outcomes, 13/82 (15.9%) did not have clear results or defined outcomes, while 15/82 (18.3%) reported no significant difference between studied groups. The 82 publications described 98 unique interventions (some studies described more than one intervention). Among these intervention strategies, 13 (13.3%) were multifaceted (4/13 [30.8%] multi-component health services- and community-based programmes, 6/13 [46.2%] included individual plus group counselling and 3/13 [23.1%] included SMS or alarm reminders plus individual counselling).
DISCUSSION
The interventions described in this review ranged from adherence counselling to more complex interventions such as mobile health (mhealth) interventions. Combined interventions comprised of different components may be more effective than using a single component in isolation. However, the complexity involved in designing and implementing combined interventions often complicates the practicalities of such interventions.
CONCLUSIONS
There is substantial evidence that community- and home-based interventions, digital health interventions and adherence counselling interventions can improve adherence to medication for chronic conditions. Future research should answer if existing interventions can be used to develop less complicated multifaceted adherence intervention strategies.
Topics: Humans; Africa South of the Sahara; Chronic Disease; HIV Infections; Medication Adherence
PubMed: 38924296
DOI: 10.1002/jia2.26266 -
Medicine Jun 2024Budesonide, capable of reducing vascular permeability, suppressing mucus secretion, and alleviating edema and spasms, is widely used in China for combined infectious... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Budesonide, capable of reducing vascular permeability, suppressing mucus secretion, and alleviating edema and spasms, is widely used in China for combined infectious disease treatment. This study assesses budesonide's efficacy and safety as an adjunct to azithromycin in pediatric Mycoplasma pneumonia management in China, aiming to establish a strong theoretical foundation for its clinical application.
METHODS
We conducted a comprehensive search for qualifying studies across 5 English databases and 4 Chinese databases, covering publications until October 31, 2023. Endpoint analyses were performed using standard software (Stata Corporation, College Station, TX). This study was conducted in compliance with the guidelines outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses.
RESULTS
A total of 24 randomized controlled trials were involved in the current study, including 2034 patients. Our findings indicate that the combination of budesonide with azithromycin for the treatment of pediatric Mycoplasma pneumonia delivers superior therapeutic efficacy (Intravenous: odds ratio [OR], 0.156, P < .001; Sequential: OR, 0.163, P = .001; Oral: OR, 0.139, P < .001), improved pulmonary function (Forced expiratory volume in 1 second: weighted mean differences [WMD], -0.28, P = .001; Peak expiratory flow: WMD, -0.554, P = .002; Forced vital capacity: WMD, -0.321, P < .001), diminished lung inflammation (IL-6: WMD, 4.760, P = .002; c-reactive protein: WMD, 5.520, P < .001; TNF-α: WMD, 9.124, P < .001), reduced duration of fever, faster resolution of cough and rales, all without increasing the occurrence of adverse events.
CONCLUSION
The combination of budesonide and azithromycin demonstrates enhanced therapeutic effectiveness, promotes improved pulmonary function, shortens the duration of symptoms, and effectively mitigates the overexpression of inflammatory factors like c-reactive protein, TNF-α, and IL-6, all without an associated increase in adverse reactions in pediatric mycoplasma pneumonia.
Topics: Humans; Azithromycin; Pneumonia, Mycoplasma; Budesonide; Child; Drug Therapy, Combination; China; Anti-Bacterial Agents; Administration, Inhalation; Randomized Controlled Trials as Topic; Treatment Outcome; Child, Preschool; East Asian People
PubMed: 38875395
DOI: 10.1097/MD.0000000000038332 -
Acta Medica Philippina 2024For several decades now, the use of uncuffed endotracheal tube (ETT) is the gold standard in providing airway and ventilatory support to children under anesthesia....
BACKGROUND
For several decades now, the use of uncuffed endotracheal tube (ETT) is the gold standard in providing airway and ventilatory support to children under anesthesia. However, there has been a change in focus from the application of uncuffed ETT to cuffed ETT among children, and this matter has been debated for years. In fact, several studies have shown that even across and within countries, the attitudes and practices of anesthesiologists on the use of types of endotracheal tubes differed.
OBJECTIVE
To describe the current attitudes and practices of anesthesiologists regarding the use of uncuffed or cuffed ETT for children.
METHODS
A systematic review of observational studies on the current attitudes and practices of pediatric anesthesiologists regarding the use of cuffed and uncuffed ETT was conducted from May to November 2020. Cochrane reviews, Medline, Pubmed, and EMBASE were searched and yielded five relevant studies.
RESULTS
The use of cuffed ETT ranged between 11%-61% in the included studies and all reported that there were no consensus or standard on whether cuffed or uncuffed ETT was better. Reported factors for cuffed ETT use included: 1) Personal choice, 2) Department protocol, 3) Availability of resources, and 4) Specific conditions such as obesity, planned or emergency procedure, and reduced lung compliance. In terms of ETT size, reported criteria were: 1) Use of a formula, 2) Use of abacus/calculator, and 3) In relation to the fifth finger's width.
CONCLUSIONS
The current systematic review demonstrated that there is wide variation in current attitudes and practices of anesthesiologists regarding the use of uncuffed or cuffed endotracheal tubes in children. Likewise, factors affecting choice of ETT and criteria for selection varied in the published literature. The results of this systematic review highlight the need for a standard guideline to help clinicians choose if cuffed or uncuffed ETT is better in certain scenarios and to help them decide in selecting the most appropriate ETT size.
PubMed: 38836076
DOI: 10.47895/amp.v58i9.8743 -
JMIR MHealth and UHealth May 2024Mobile health (mHealth) interventions have immense potential to support disease self-management for people with complex medical conditions following treatment regimens... (Review)
Review
BACKGROUND
Mobile health (mHealth) interventions have immense potential to support disease self-management for people with complex medical conditions following treatment regimens that involve taking medicine and other self-management activities. However, there is no consensus on what discrete behavior change techniques (BCTs) should be used in an effective adherence and self-management-promoting mHealth solution for any chronic illness. Reviewing the extant literature to identify effective, cross-cutting BCTs in mHealth interventions for adherence and self-management promotion could help accelerate the development, evaluation, and dissemination of behavior change interventions with potential generalizability across complex medical conditions.
OBJECTIVE
This study aimed to identify cross-cutting, mHealth-based BCTs to incorporate into effective mHealth adherence and self-management interventions for people with complex medical conditions, by systematically reviewing the literature across chronic medical conditions with similar adherence and self-management demands.
METHODS
A registered systematic review was conducted to identify published evaluations of mHealth adherence and self-management interventions for chronic medical conditions with complex adherence and self-management demands. The methodological characteristics and BCTs in each study were extracted using a standard data collection form.
RESULTS
A total of 122 studies were reviewed; the majority involved people with type 2 diabetes (28/122, 23%), asthma (27/122, 22%), and type 1 diabetes (19/122, 16%). mHealth interventions rated as having a positive outcome on adherence and self-management used more BCTs (mean 4.95, SD 2.56) than interventions with no impact on outcomes (mean 3.57, SD 1.95) or those that used >1 outcome measure or analytic approach (mean 3.90, SD 1.93; P=.02). The following BCTs were associated with positive outcomes: self-monitoring outcomes of behavior (39/59, 66%), feedback on outcomes of behavior (34/59, 58%), self-monitoring of behavior (34/59, 58%), feedback on behavior (29/59, 49%), credible source (24/59, 41%), and goal setting (behavior; 14/59, 24%). In adult-only samples, prompts and cues were associated with positive outcomes (34/45, 76%). In adolescent and young adult samples, information about health consequences (1/4, 25%), problem-solving (1/4, 25%), and material reward (behavior; 2/4, 50%) were associated with positive outcomes. In interventions explicitly targeting medicine taking, prompts and cues (25/33, 76%) and credible source (13/33, 39%) were associated with positive outcomes. In interventions focused on self-management and other adherence targets, instruction on how to perform the behavior (8/26, 31%), goal setting (behavior; 8/26, 31%), and action planning (5/26, 19%) were associated with positive outcomes.
CONCLUSIONS
To support adherence and self-management in people with complex medical conditions, mHealth tools should purposefully incorporate effective and developmentally appropriate BCTs. A cross-cutting approach to BCT selection could accelerate the development of much-needed mHealth interventions for target populations, although mHealth intervention developers should continue to consider the unique needs of the target population when designing these tools.
Topics: Humans; Self-Management; Telemedicine; Treatment Adherence and Compliance; Behavior Therapy; Chronic Disease
PubMed: 38717433
DOI: 10.2196/49024 -
Frontiers in Radiology 2024Chronic pulmonary embolism (PE) may result in pulmonary hypertension (CTEPH). Automated CT pulmonary angiography (CTPA) interpretation using artificial intelligence (AI)...
BACKGROUND
Chronic pulmonary embolism (PE) may result in pulmonary hypertension (CTEPH). Automated CT pulmonary angiography (CTPA) interpretation using artificial intelligence (AI) tools has the potential for improving diagnostic accuracy, reducing delays to diagnosis and yielding novel information of clinical value in CTEPH. This systematic review aimed to identify and appraise existing studies presenting AI tools for CTPA in the context of chronic PE and CTEPH.
METHODS
MEDLINE and EMBASE databases were searched on 11 September 2023. Journal publications presenting AI tools for CTPA in patients with chronic PE or CTEPH were eligible for inclusion. Information about model design, training and testing was extracted. Study quality was assessed using compliance with the Checklist for Artificial Intelligence in Medical Imaging (CLAIM).
RESULTS
Five studies were eligible for inclusion, all of which presented deep learning AI models to evaluate PE. First study evaluated the lung parenchymal changes in chronic PE and two studies used an AI model to classify PE, with none directly assessing the pulmonary arteries. In addition, a separate study developed a CNN tool to distinguish chronic PE using 2D maximum intensity projection reconstructions. While another study assessed a novel automated approach to quantify hypoperfusion to help in the severity assessment of CTEPH. While descriptions of model design and training were reliable, descriptions of the datasets used in training and testing were more inconsistent.
CONCLUSION
In contrast to AI tools for evaluation of acute PE, there has been limited investigation of AI-based approaches to characterising chronic PE and CTEPH on CTPA. Existing studies are limited by inconsistent reporting of the data used to train and test their models. This systematic review highlights an area of potential expansion for the field of AI in medical image interpretation.There is limited knowledge of A systematic review of artificial intelligence tools for chronic pulmonary embolism in CT. This systematic review provides an assessment on research that examined deep learning algorithms in detecting CTEPH on CTPA images, the number of studies assessing the utility of deep learning on CTPA in CTEPH was unclear and should be highlighted.
PubMed: 38654762
DOI: 10.3389/fradi.2024.1335349 -
Journal of Clinical Monitoring and... Apr 2024Electrical Impedance Tomography (EIT) is a novel real-time lung imaging technology for personalized ventilation adjustments, indicating promising results in animals and... (Review)
Review
Is EIT-guided positive end-expiratory pressure titration for optimizing PEEP in ARDS the white elephant in the room? A systematic review with meta-analysis and trial sequential analysis.
Electrical Impedance Tomography (EIT) is a novel real-time lung imaging technology for personalized ventilation adjustments, indicating promising results in animals and humans. The present study aimed to assess its clinical utility for improved ventilation and oxygenation compared to traditional protocols. Comprehensive electronic database screening was done until 30th November, 2023. Randomized controlled trials, controlled clinical trials, comparative cohort studies, and assessments of EIT-guided PEEP titration and conventional methods in adult ARDS patients regarding outcome, ventilatory parameters, and P/F ratio were included. Our search retrieved five controlled cohort studies and two RCTs with 515 patients and overall reduced risk of mortality [RR = 0.68; 95% CI: 0.49 to 0.95; I = 0%], better dynamic compliance [MD = 3.46; 95% CI: 1.59 to 5.34; I = 0%] with no significant difference in PaO/FiO ratio [MD = 6.5; 95%CI -13.86 to 26.76; I = 74%]. The required information size except PaO/FiO was achieved for a power of 95% based on the 50% reduction in risk of mortality, 10% improved compliance as the cumulative Z-score of the said outcomes crossed the alpha spending boundary and did not dip below the inner wedge of futility. EIT-guided individualized PEEP titration is a novel modality; further well-designed studies are needed to substantiate its utility.
PubMed: 38619718
DOI: 10.1007/s10877-024-01158-x -
Inhaled bronchodilators for the prevention and treatment of chronic lung disease in preterm infants.The Cochrane Database of Systematic... Apr 2024Chronic lung disease (CLD) occurs frequently in preterm infants and is associated with respiratory morbidity. Bronchodilators have the potential effect of dilating small... (Review)
Review
BACKGROUND
Chronic lung disease (CLD) occurs frequently in preterm infants and is associated with respiratory morbidity. Bronchodilators have the potential effect of dilating small airways with muscle hypertrophy. Increased compliance and tidal volume, and decreased airway resistance, have been documented with the use of bronchodilators in infants with CLD. Therefore, bronchodilators are widely considered to have a role in the prevention and treatment of CLD, but there remains uncertainty as to whether they improve clinical outcomes. This is an update of the 2016 Cochrane review.
OBJECTIVES
To determine the effect of inhaled bronchodilators given as prophylaxis or as treatment for chronic lung disease (CLD) on mortality and other complications of preterm birth in infants at risk for or identified as having CLD.
SEARCH METHODS
An Information Specialist searched CENTRAL, MEDLINE, Embase, CINAHL and three trials registers from 2016 to May 2023. In addition, the review authors undertook reference checking, citation searching and contact with trial authors to identify additional studies.
SELECTION CRITERIA
We included randomised and quasi-randomised controlled trials involving preterm infants less than 32 weeks old that compared bronchodilators to no intervention or placebo. CLD was defined as oxygen dependency at 28 days of life or at 36 weeks' postmenstrual age. Initiation of bronchodilator therapy for the prevention of CLD had to occur within two weeks of birth. Treatment of infants with CLD had to be initiated before discharge from the neonatal unit. The intervention had to include administration of a bronchodilator by nebulisation or metered dose inhaler. The comparator was no intervention or placebo.
DATA COLLECTION AND ANALYSIS
We used the standard methodological procedures expected by Cochrane. Critical outcomes included: mortality within the trial period; CLD (defined as oxygen dependency at 28 days of life or at 36 weeks' postmenstrual age); adverse effects of bronchodilators, including hypokalaemia (low potassium levels in the blood), tachycardia, cardiac arrhythmia, tremor, hypertension and hyperglycaemia (high blood sugar); and pneumothorax. We used the GRADE approach to assess the certainty of the evidence for each outcome.
MAIN RESULTS
We included two randomised controlled trials in this review update. Only one trial provided useable outcome data. This trial was conducted in six neonatal intensive care units in France and Portugal, and involved 173 participants with a gestational age of less than 31 weeks. The infants in the intervention group received salbutamol for the prevention of CLD. The evidence suggests that salbutamol may result in little to no difference in mortality (risk ratio (RR) 1.08, 95% confidence interval (CI) 0.50 to 2.31; risk difference (RD) 0.01, 95% CI -0.09 to 0.11; low-certainty evidence) or CLD at 28 days (RR 1.03, 95% CI 0.78 to 1.37; RD 0.02, 95% CI -0.13 to 0.17; low-certainty evidence), when compared to placebo. The evidence is very uncertain about the effect of salbutamol on pneumothorax. The one trial with usable data reported that there were no relevant differences between groups, without providing the number of events (very low-certainty evidence). Investigators in this study did not report if side effects occurred. We found no eligible trials that evaluated the use of bronchodilator therapy for the treatment of infants with CLD. We identified no ongoing studies.
AUTHORS' CONCLUSIONS
Low-certainty evidence from one trial showed that inhaled bronchodilator prophylaxis may result in little or no difference in the incidence of mortality or CLD in preterm infants, when compared to placebo. The evidence is very uncertain about the effect of salbutamol on pneumothorax, and neither included study reported on the incidence of serious adverse effects. We identified no trials that studied the use of bronchodilator therapy for the treatment of CLD. Additional clinical trials are necessary to assess the role of bronchodilator agents in the prophylaxis or treatment of CLD. Researchers studying the effects of inhaled bronchodilators in preterm infants should include relevant clinical outcomes in addition to pulmonary mechanical outcomes.
Topics: Infant; Female; Infant, Newborn; Humans; Infant, Premature; Bronchodilator Agents; Pneumothorax; Chronic Disease; Premature Birth; Infant, Premature, Diseases; Albuterol; Lung Diseases; Oxygen
PubMed: 38591664
DOI: 10.1002/14651858.CD003214.pub4 -
Applied Clinical Informatics May 2024Intensive care unit (ICU) clinicians encounter frequent challenges with managing vast amounts of fragmented data while caring for multiple critically ill patients...
BACKGROUND
Intensive care unit (ICU) clinicians encounter frequent challenges with managing vast amounts of fragmented data while caring for multiple critically ill patients simultaneously. This may lead to increased provider cognitive load that may jeopardize patient safety.
OBJECTIVES
This systematic review assesses the impact of centralized multipatient dashboards on ICU clinician performance, perceptions regarding the use of these tools, and patient outcomes.
METHODS
A literature search was conducted on February 9, 2023, using the EBSCO CINAHL, Cochrane Central Register of Controlled Trials, Embase, IEEE Xplore, MEDLINE, Scopus, and Web of Science Core Collection databases. Eligible studies that included ICU clinicians as participants and tested the effect of dashboards designed for use by multiple users to manage multiple patients on user performance and/or satisfaction compared with the standard practice. We narratively synthesized eligible studies following the SWiM (Synthesis Without Meta-analysis) guidelines. Studies were grouped based on dashboard type and outcomes assessed.
RESULTS
The search yielded a total of 2,407 studies. Five studies met inclusion criteria and were included. Among these, three studies evaluated interactive displays in the ICU, one study assessed two dashboards in the pediatric ICU (PICU), and one study examined centralized monitor in the PICU. Most studies reported several positive outcomes, including reductions in data gathering time before rounds, a decrease in misrepresentations during multidisciplinary rounds, improved daily documentation compliance, faster decision-making, and user satisfaction. One study did not report any significant association.
CONCLUSION
The multipatient dashboards were associated with improved ICU clinician performance and were positively perceived in most of the included studies. The risk of bias was high, and the certainty of evidence was very low, due to inconsistencies, imprecision, indirectness in the outcome measure, and methodological limitations. Designing and evaluating multipatient tools using robust research methodologies is an important focus for future research.
Topics: Intensive Care Units; Humans
PubMed: 38574763
DOI: 10.1055/a-2299-7643 -
Intensive Care Medicine May 2024Assessing efficacy of electrical impedance tomography (EIT) in optimizing positive end-expiratory pressure (PEEP) for acute respiratory distress syndrome (ARDS) patients... (Meta-Analysis)
Meta-Analysis
PURPOSE
Assessing efficacy of electrical impedance tomography (EIT) in optimizing positive end-expiratory pressure (PEEP) for acute respiratory distress syndrome (ARDS) patients to enhance respiratory system mechanics and prevent ventilator-induced lung injury (VILI), compared to traditional methods.
METHODS
We carried out a systematic review and meta-analysis, spanning literature from January 2012 to May 2023, sourced from Scopus, PubMed, MEDLINE (Ovid), Cochrane, and LILACS, evaluated EIT-guided PEEP strategies in ARDS versus conventional methods. Thirteen studies (3 randomized, 10 non-randomized) involving 623 ARDS patients were analyzed using random-effects models for primary outcomes (respiratory mechanics and mechanical power) and secondary outcomes (PaO/FiO ratio, mortality, stays in intensive care unit (ICU), ventilator-free days).
RESULTS
EIT-guided PEEP significantly improved lung compliance (n = 941 cases, mean difference (MD) = 4.33, 95% confidence interval (CI) [2.94, 5.71]), reduced mechanical power (n = 148, MD = - 1.99, 95% CI [- 3.51, - 0.47]), and lowered driving pressure (n = 903, MD = - 1.20, 95% CI [- 2.33, - 0.07]) compared to traditional methods. Sensitivity analysis showed consistent positive effect of EIT-guided PEEP on lung compliance in randomized clinical trials vs. non-randomized studies pooled (MD) = 2.43 (95% CI - 0.39 to 5.26), indicating a trend towards improvement. A reduction in mortality rate (259 patients, relative risk (RR) = 0.64, 95% CI [0.45, 0.91]) was associated with modest improvements in compliance and driving pressure in three studies.
CONCLUSIONS
EIT facilitates real-time, individualized PEEP adjustments, improving respiratory system mechanics. Integration of EIT as a guiding tool in mechanical ventilation holds potential benefits in preventing ventilator-induced lung injury. Larger-scale studies are essential to validate and optimize EIT's clinical utility in ARDS management.
Topics: Humans; Positive-Pressure Respiration; Respiratory Distress Syndrome; Electric Impedance; Tomography; Ventilator-Induced Lung Injury; Respiratory Mechanics
PubMed: 38512400
DOI: 10.1007/s00134-024-07362-2