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Nevin Manimala Statistics

Effectiveness of mHealth interventions to improve pain intensity and functional disability in patients with hip or knee osteoarthritis: a systematic review and meta-analysis

Arch Phys Med Rehabil. 2024 Jun 28:S0003-9993(24)01068-2. doi: 10.1016/j.apmr.2024.06.008. Online ahead of print.

ABSTRACT

OBJECTIVE: This review aimed to investigate the effectiveness of mHealth-supported active exercise interventions to reduce pain intensity and disability level in persons with hip or knee OA.

DATA SOURCES: Three databases (PubMed, Cochrane Library, and Web of science) were systematically searched for randomized-controlled trials (RCTs) published between 01-01-2012 and 31-07-2023. PROSPERO registration number of this review was CRD42023394119.

STUDY SELECTION: We included only RCTs that were identified and screened by two independent reviewers (JM and GN). In addition, the reference lists of the identified studies were manually checked for further inclusion. Included studies had to provide a mHealth-supported active exercises for persons with hip or knee OA, and evaluate pain intensity and disability using both questionnaires and performance tests.

DATA EXTRACTION: From the included studies, the two independent authors extracted data using a predetermined Excel form. Characteristics of the interventions were described and a meta-analysis was performed.

DATA SYNTHESIS: Twelve RCTs were included, representing 1,541 patients with a mean age of 58.7±5 years, and a BMI of 28.8±3.1; females being more predominant than males with a total ratio female/male of 2.2. The methodological quality of the included studies was of moderate quality in 75% of the studies. There was no statistically significant difference between mHealth-supported active exercises compared to the interventions without mHealth in terms of pain reduction (SMD= -0.42 [95%CI -0.91; 0.07], p = 0.08) and disability mitigation (SMD = -0.36 [95%CI -0.81; 0.09], p = 0.10). However, a statistically significant difference was found between patient education combined with mHealth-supported active exercises compared to patient education alone in terms of pain (SMD= -0.42 [95%CI -0.61; -0.22], p<0.01) and disability (SMD= -0.27 [95%CI -0.46; -0.08], p < 0.01) reduction.

CONCLUSION: mHealth-supported exercises were found to be effective, especially when combined with patient education, in reducing pain and mitigating disability in patients with hip or knee OA.

PMID:38945508 | DOI:10.1016/j.apmr.2024.06.008

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Dermatologic adverse events associated with chimeric antigen receptor T-cell therapy: a pharmacovigilance analysis of the FDA reporting system

Transplant Cell Ther. 2024 Jun 28:S2666-6367(24)00486-X. doi: 10.1016/j.jtct.2024.06.024. Online ahead of print.

ABSTRACT

BACKGROUND: Chimeric antigen receptor T-cell (CAR-T) therapy, including axicabtagene ciloleucel (axi-cel) and tisagenlecleucel (tisa-cel), has demonstrated significant efficacy in treating refractory or relapsed diffuse large B-cell lymphoma and B-cell acute lymphoblastic leukemia. Though adverse events such as cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS) are well characterized, the dermatologic adverse event (DAE) profile is less thoroughly described.

OBJECTIVES: This study aims to provide the first comprehensive analysis of DAEs associated with axi-cel and tisa-cel using real-world data from the FDA Adverse Event Reporting System (FAERS) database.

STUDY DESIGN: FAERS database reports citing axi-cel or tisa-cel in patients aged 16 years or older were included, excluding duplicate reports and off-label indications. Disproportionality analysis by reporting odds ratio (ROR) was utilized to detect increased reporting of drug-adverse event combinations.

RESULTS: Of the 11,256,845 reports in the FAERS database, 5,559 identified CAR-T therapy as the primary suspected drug. After exclusions, 3,666 reports were analyzed (2,168 for axi-cel and 1,498 for tisa-cel). Among these, 2.7% of axi-cel and 5.1% of tisa-cel cases reported DAEs. There was a statistically significant increased reporting of 2 DAE groups associated with CAR-T therapy: severe cutaneous eruptions (ROR 5.18, 95% CI 1.29, 20.76) and vascular cutaneous (ROR 2.91, 95% CI 1.51, 5.60). The median time to DAE onset was 3 days after CAR T-cell infusion. Death was a reported outcome in 11.9% and 13.0% of axi-cel and tisa-cel DAE cases, respectively, and in 50% and 25% of severe cutaneous eruptions and vascular cutaneous cases, respectively.

CONCLUSIONS: This study reveals a significantly increased reporting rate of severe cutaneous eruptions and vascular cutaneous DAEs associated with CAR-T therapy, with both event groups associated with high mortality. These results emphasize the importance of monitoring dermatologic toxicities in clinical practice to ensure timely identification and management of potentially severe adverse events.

PMID:38945480 | DOI:10.1016/j.jtct.2024.06.024

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Nevin Manimala Statistics

Data-driven mathematical modeling of sleep consolidation in early childhood

J Theor Biol. 2024 Jun 28:111892. doi: 10.1016/j.jtbi.2024.111892. Online ahead of print.

ABSTRACT

Across early childhood development, sleep behavior transitions from a biphasic pattern (a daytime nap and nighttime sleep) to a monophasic pattern (only nighttime sleep). The transition to consolidated nighttime sleep, which occurs in most children between 2- and 5-years-old, is a major developmental milestone and reflects interactions between the developing homeostatic sleep drive and circadian system. Using a physiologically-based mathematical model of the sleep-wake regulatory network constrained by observational and experimental data from preschool-aged participants, we analyze how developmentally-mediated changes in the homeostatic sleep drive may contribute to the transition from napping to non-napping sleep patterns. We establish baseline behavior by identifying parameter sets that model typical 2-year-old napping behavior and 5-year-old non-napping behavior. Then we vary six model parameters associated with the dynamics of and sensitivity to the homeostatic sleep drive between the 2-year-old and 5-year-old parameter values to induce the transition from biphasic to monophasic sleep. We analyze the individual contributions of these parameters to sleep patterning by independently varying their age-dependent developmental trajectories. Parameters vary according to distinct evolution curves and produce bifurcation sequences representing various ages of transition onset, transition durations, and transitional sleep patterns. Finally, we consider the ability of napping and non-napping light schedules to reinforce napping or promote a transition to consolidated sleep, respectively. These modeling results provide insight into the role of the homeostatic sleep drive in promoting interindividual variability in developmentally-mediated transitions in sleep behavior and lay foundations for the identification of light- or behavior-based interventions that promote healthy sleep consolidation in early childhood.

PMID:38945471 | DOI:10.1016/j.jtbi.2024.111892

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Prospective antimicrobial stewardship interventions by multidisciplinary teams to reduce neonatal antibiotic use in South Africa: the Neonatal Antimicrobial Stewardship (NeoAMS) study

Int J Infect Dis. 2024 Jun 28:107158. doi: 10.1016/j.ijid.2024.107158. Online ahead of print.

ABSTRACT

BACKGROUND: Hospitalised neonates are vulnerable to infection and have high rates of antibiotic utilisation.

METHODS: Fourteen South African neonatal units (seven public, seven private sector) assembled multidisciplinary teams involving neonatologists, microbiologists, pharmacists, and nurses to implement prospective audit and feedback neonatal antimicrobial stewardship (NeoAMS) interventions. The teams attended seven online training sessions. Pharmacists conducted weekday antibiotic prescription reviews in the neonatal intensive care unit and/or neonatal wards providing feedback to the clinical teams. Anonymised demographic and NeoAMS interventions data were aggregated for descriptive purposes and statistical analysis.

FINDINGS: During the 20-week NeoAMS intervention in 2022, 565 neonates were enrolled. Pharmacists evaluated seven hundred antibiotic prescription episodes; rule-out sepsis (180; 26%) and culture-negative sepsis (138; 20%) were the most frequent indications for antibiotic prescription. For infection episodes with an identified pathogen, only 51% (116/229) of empiric treatments provided adequate antimicrobial coverage. Pharmacists recommended 437 NeoAMS interventions (0·6 per antibiotic prescription episode), with antibiotic discontinuation (42%), therapeutic drug monitoring (17%), and dosing (15%) recommendations most frequent. Neonatal clinicians’ acceptance rates for AMS recommendations were high (338; 77%). Mean antibiotic length of therapy decreased by 24% from 9·1 to 6·9 days (0·1 day decrease per intervention week; p=0·001), with the greatest decline in length of therapy for culture-negative sepsis (8·2 days (95%CI 5·7-11·7) to 5·9 days (95% CI 4·6-7·5); p=0·032).

INTERPRETATION: This neonatal AMS programme was successfully implemented in heterogenous and resource-limited settings. Pharmacist-recommended AMS interventions had high rates of clinician acceptance. The NeoAMS intervention significantly reduced neonatal antibiotic use, particularly for culture-negative sepsis.

FUNDING: A grant from Merck provided partial support.

PMID:38945432 | DOI:10.1016/j.ijid.2024.107158

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An observational cohort study examined the change point of kidney function stabilization in the initial period after transplantation

Kidney Int. 2024 Jun 28:S0085-2538(24)00448-4. doi: 10.1016/j.kint.2024.05.030. Online ahead of print.

ABSTRACT

Baseline kidney function following kidney transplantation is often used in research and clinical decision-making yet is not well defined. Here, a method to determine baseline function was proposed and validated on three single-center retrospective cohorts consisting of 922 patients from Belgium (main cohort) and two validation cohorts of 987 patients from the Netherlands and 519 patients from Germany. For each transplant, a segmented regression model was fitted on the estimated glomerular filtration rate (eGFR) evolution during the first-year post-transplantation. This yielded estimates for change point timing, rate of eGFR change before and after change point and eGFR value at change point, now considered the “baseline function”. Associations of eGFR evolution with recipient/donor characteristics and the graft failure rate were assessed with linear regression and Cox regression respectively. The change point occurred on average at an eGFR value of 43.7±14.6 mL/min/1.73m2, at a median time of 6.5 days post-transplantation. Despite significant associations with several baseline donor-recipient characteristics (particularly, donor type; living vs deceased), the predictive value of these characteristics for eGFR value and timing of the change point was limited. This followed from a large heterogeneity within eGFR trajectories, which in turn indicated that favorable levels of kidney function could be reached despite a suboptimal initial evolution. Segmented regression consistently provided a good fit to early eGFR evolution, and its estimate of the change point can be a useful reference value in future analyses. Thus, our study shows that baseline kidney function after transplantation is heterogeneous and partly related to pretransplant donor characteristics.

PMID:38945395 | DOI:10.1016/j.kint.2024.05.030

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“Comparing scoring systems for Fournier Gangrenes in predicting morbidity and mortality: is FGSI still reliable?

Fr J Urol. 2024 Jun 28:102673. doi: 10.1016/j.fjurol.2024.102673. Online ahead of print.

ABSTRACT

INTRODUCTION: Compare scoring systems using Fournier gangrene severity index (FGSI), Uludag Fournier gangrene severity index (UFGSI), Laboratory Risk Indicator for Necrotizing Fasciitis (LRINEC), and neutrophil-lymphocyte ratio (NLR) to predict the outcome of patients with Fournier gangrene Materials and Methods: This is a retrospective cohort study that includes FG patients from 2012 to 2021. NLR, FGSI, UFGSI, and LRINEC values were calculated and analyzed. Each scoring system was analyzed using a receiver operating curve (ROC) analysis to determine its sensitivity, specificity, and area under the curve (AUC). Statistical analysis was performed using SPSS version 25.

RESULTS: A total of 158 patients were included in this study. Regarding the mortality outcome, FGSI comprised the highest value of AUC with 80.9, with a sensitivity of 91.7% and specificity of 68.5%. LRINEC comprised the AUC value of 61.1, with 79.2% sensitivity and 64.2% specificity. NLR comprised an AUC value of 63.7, 91.7% of sensitivity, and 98.1% of specificity. In terms of length of stay, LRINEC and NLR were associated as significant predictor.

CONCLUSION: FGSI, UFGSI, and NLR are significant predictors associated with mortality in patients with Fournier gangrene. FGSI and UFGSI comprised the highest sensitivity and specificity value in predicting mortality prognosis. Moreover, this study highlighted the role of NLR and LRINEC as significant predictors for the length of hospitalization. This study shows that FGSI is still a reliable scoring system for predicting mortality in patients with Fournier Gangrene.

PMID:38945366 | DOI:10.1016/j.fjurol.2024.102673

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The Conclusion Generator

Ann Epidemiol. 2024 Jun 28:S1047-2797(24)00104-2. doi: 10.1016/j.annepidem.2024.06.008. Online ahead of print.

ABSTRACT

PURPOSE: Reliance on null hypothesis significance testing often leads to misinterpretation of research results. Common misinterpretations include that a statistically nonsignificant difference (p≥0.05) implies no difference between groups, and that a statistically significant finding (p<0.05) is unbiased and clinically important. We aimed to develop a tool – the Conclusion Generator – to mitigate these misconceptions.

METHODS: We reviewed the content of the Conclusion Generator and validated its output using published and simulated data.

RESULTS: The Conclusion Generator is a free online application designed to generate conclusions for scientific papers based on the values and clinical interpretation of the point estimate and confidence interval. Both relative and absolute measures of effect are supported. It offers two modes for interpretation: (1) Statistical mode provides an accurate statistical interpretation of results, with an optional specification of superiority and noninferiority bounds; (2) Clinical mode evaluates the clinical importance of the point estimate and confidence limits as specified by the user. Both modes assume no uncontrolled biases. Users must specify the number of decimals, the direction of a beneficial effect (e.g., relative risk <1 vs. >1), and the level of detail (concise vs. elaborated) for the output. The validation confirmed the Conclusion Generator’s capability to interpret research results, considering random error and clinical relevance, while avoiding common misinterpretations associated with null hypothesis significance testing.

CONCLUSIONS: The Conclusion Generator facilitates an appropriate interpretation of research results by emphasizing estimation and clinical relevance over hypothesis testing.

PMID:38945314 | DOI:10.1016/j.annepidem.2024.06.008

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Imputation accuracy and carrier frequency of deleterious recessive defects in Australian dairy cattle

J Dairy Sci. 2024 Jun 28:S0022-0302(24)00968-8. doi: 10.3168/jds.2024-24780. Online ahead of print.

ABSTRACT

Widespread genotyping has enabled the identification of putative recessive mutations that affect fertility through early embryonic fetal loss, or compromise neonate or calf viability. The use of artificial insemination in the global dairy population can rapidly spread these harmful mutations, and testing for multiple mutations can become relatively expensive if not all tests are available on the same SNP panel. However, it is possible to provide heifer and cow predicted carrier status to farmers at no additional cost if the animals are genotyped with a standard SNP panel. Additionally, for defects where the causal mutation is unknown, but a haplotype of markers has been associated with the defect, the carrier status can be predicted based on that haplotype. The aims of this study were 3-fold: 1) to determine the accuracy of imputation of putative causal mutations for recessive deleterious conditions in Australian dairy cattle, 2) to impute carrier status for known recessive deleterious conditions in all genotyped Australian Holstein, Jersey and Red breed cows, and 3) to determine the changes in carrier frequencies across time for these recessive deleterious mutations. We used the F1 statistic, combining precision and recall, to assess the accuracy of carrier status prediction. We showed that known deleterious mutations can be accurately imputed in Australian Holstein and Jersey cattle that are not directly genotyped for the causal mutation, with F1 ranging between 0.88 and 0.99. For recessive deleterious conditions not included on the standard Australian SNP panel, carrier status could be predicted using a marker haplotype, with F1 ranging from 0.91 to 0.92. Most putative causals and haplotypes were either stable with a low carrier percentage or had a declining carrier percentage. However, several recessive mutations showed a relatively high or increasing percentage, highlighting the importance of detecting carriers to reduce the number of at risk matings. Furthermore, the high carrier percentage of the recently identified Bovine Lymphocyte Intestinal Retention Defect (BLIRD) mutation emphasizes the importance of detection of novel mutations.

PMID:38945256 | DOI:10.3168/jds.2024-24780

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Polycyclic aromatic hydrocarbons in indoor mosques dust in Saudi Arabia: Levels, source apportionment, human health and carcinogenic risk assessment for congregators

Sci Total Environ. 2024 Jun 28:174331. doi: 10.1016/j.scitotenv.2024.174331. Online ahead of print.

ABSTRACT

Mosques are important places for Muslims where they perform their prayers. The congregators are exposed to hazardous pollutants such as polycyclic aromatic hydrocarbons (PAHs) associated with dust. However, studies on PAHs exposure in religious places are scarce. Air-condition filter (ACF) dust can correspond to air quality to a certain extent, since dust particles derived from indoor and outdoor places stick to it. Therefore, the present study aimed to evaluate the 16 EPA PAHs in ACF dust from mosques to determine their levels, profiles, sources and risks. Average Σ16 PAHs concentrations were 1039, 1527, 2284 and 5208 ng/g in AC filter dust from mosques in residential (RM), suburban (SM), urban (UM) and car repair workshop (CRWM), respectively, and the differences were statistically significant (p < 0.001). Based on the molecular diagnostic PAH ratios, PAHs in mosques dust is emitted from local incomplete fuel combustion, as well as complete fossil fuels combustion sources (pyrogenic), petroleum spills, crude and fuel oil, traffic emissions, and other possible sources of industrial emissions in different functional areas. The incremental lifetime cancer risks (ILCRs) values for children and adults across the different types of mosques follow the order: CRWM > UM > SM > RM. ILCRs values for both children and adults were found in order: dermal contact > ingestion > inhalation. The cancer risk levels via ingestion for children were relatively higher than the adults. The values of cancer risk for children and adults via dermal contact and ingestion (except in RM) were categorized in the ‘potentially high risk’ category (> 10-4). The mean values of total cancer risks (CR) for children (5.74 × 10-3) and adults (5.07 × 10-3) in mosques also exceeded the accepted threat value (>10-4). Finally, it is recommended that regular and frequent monitoring of PAHs should be carried out in mosques to improve the quality and maintain the health of congregators around the globe.

PMID:38945247 | DOI:10.1016/j.scitotenv.2024.174331

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Short-term effects of fine particulate matter from biomass combustion and Saharan dust intrusions on emergency hospital admissions due to mental and behavioural disorders, anxiety and depression in Spain

Sci Total Environ. 2024 Jun 28:174316. doi: 10.1016/j.scitotenv.2024.174316. Online ahead of print.

ABSTRACT

Climate change is affecting both the frequency and scale of wildfires, as well as the increase in the number of days with Saharan dust intrusions. Traditionally, studies have focused on the extent to which the increase in fine particulate matter (PM) has had an impact on cardio-respiratory diseases, but (apart from PM) not on how the meteorological and pollution conditions in these situations affect other diseases, such as those linked to mental health. This study therefore sought to ascertain how daily mean PM10, PM 2.5, NO2, O3 concentrations and daily maximum temperature in heat waves influence daily emergency hospital admissions in Spain caused by mental and behavioural disorders, depression and anxiety on days with PM from biomass combustion and/or Saharan dust intrusions, as compared to days without such conditions, across the period 2009-2018. Our results indicate that on days on which there is biomass combustion, PM concentrations have a statistically significant effect on emergency admissions due to mental disorders, probably related with the toxicity of these particles. Yet on days with intrusions of Saharan dust rather than PM, it is the other variables considered in the analysis that are most closely linked to these types of admissions. The results of this study thus point to the need to implement public health prevention plans which take into account the joint effect of various environmental risk factors that act synergistically in given situations.

PMID:38945243 | DOI:10.1016/j.scitotenv.2024.174316