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Nevin Manimala Statistics

Noncoplanar Volumetric Modulated Arc Therapy for Hepatocellular Carcinoma Based on a Cage-Like Radiotherapy System: A Simulation Study

Technol Cancer Res Treat. 2023 Jan-Dec;22:15330338231170495. doi: 10.1177/15330338231170495.

ABSTRACT

BACKGROUND: The incorporation of noncoplanar beam arrangements has been proposed in liver radiotherapy modalities, which can reduce the dose in normal tissues compared to coplanar techniques. Noncoplanar radiotherapy techniques for hepatocellular carcinoma treatment based on the Linac design have a limited effective arc angle to avoid collisions.

PURPOSE: To propose a novel noncoplanar volumetric modulated arc therapy technique based on a cage-like radiotherapy system and investigate its performance in hepatocellular carcinoma patients.

METHODS: The computed tomography was deflected 90° to meet the structure of a cage-like radiotherapy system and design the noncoplanar volumetric modulated arc therapy technique based on a cage-like radiotherapy system plan in the Pinnacle3 planning system. An noncoplanar volumetric modulated arc therapy technique based on a cage-like radiotherapy system plan was customized for each of 10 included hepatocellular carcinoma patients, with 6 dual arcs ranging from -30° to 30°. Six couch angles were set with an interval of 36° and distributed along with the longest diameter of planning target volume. The dosimetric parameters of noncoplanar volumetric modulated arc therapy technique based on a cage-like radiotherapy system plan were compared with the noncoplanar volumetric modulated arc therapy and volumetric modulated arc therapy plan.

RESULTS: The 3 radiotherapy techniques regarding planning target volume were statistically different for D98%, D2%, conformity index, and homogeneity index with χ2 = 9.692, 14.600, 8.600, and 12.600, and P = .008, .001, .014, and .002, respectively. Further multiple comparisons revealed that noncoplanar volumetric modulated arc therapy technique based on a cage-like radiotherapy system significantly reduced the mean dose (P = .005) and V5 (P = .005) of the normal liver, the mean dose (P = .005) of the stomach, and V30 (P = .028) of the lung compared to noncoplanar volumetric modulated arc therapy. Noncoplanar volumetric modulated arc therapy technique based on a cage-like radiotherapy system significantly reduced the mean dose (P = .005) and V5 (P = .005) of the normal liver, the mean dose (P = .017) of the spinal cord, V50 (P = .043) of the duodenum, the maximum dose (P = .007) of the esophagus, and V30 (P = .047) of the whole lung compared to volumetric modulated arc therapy. The results indicate that noncoplanar volumetric modulated arc therapy technique based on a cage-like radiotherapy system protects the normal liver, stomach, and lung better than noncoplanar volumetric modulated arc therapy and protects the normal liver, spinal cord, duodenum, esophagus, and lung better than volumetric modulated arc therapy.

CONCLUSIONS: The noncoplanar volumetric modulated arc therapy technique based on a cage-like radiotherapy system technique with the arrangement of noncoplanar arcs provided optimal dosimetric gains compared with noncoplanar volumetric modulated arc therapy and volumetric modulated arc therapy, except for the heart. Noncoplanar volumetric modulated arc therapy technique based on a cage-like radiotherapy system should be considered in more clinically challenging cases.

PMID:37186800 | DOI:10.1177/15330338231170495

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Nevin Manimala Statistics

Quality of Physical Activity Participation Among Adults with Disabilities Through Pandemic Restriction

Can J Occup Ther. 2023 Jun;90(2):161-172. doi: 10.1177/00084174231160954.

ABSTRACT

Background. Physical activity (PA) is essential for maintaining well-being in adults with disabilities. This population experienced reduced PA during the COVID-19 pandemic; yet, the impact on quality of PA participation remains unclear. Purpose. This secondary analysis explored how pandemic restrictions impacted six experiential dimensions of quality of PA participation among adults with disabilities. Methods. An exploratory sequential mixed-methods design, including semi-structured interviews (n = 10) and self-reported surveys (n = 61), was conducted in May-2020 and February-2021. Quality of PA participation was measured using the Measure of Experiential Aspects of Participation (MeEAP). Participants included community-dwelling adults over 19 years of age (mean 59.2 ± 14.0 years) living with stroke, spinal cord injury, or other physical disabilities. Findings. Directed content analysis identified three themes related to adjusting PA participation for restrictions, motivation barriers, and valuing social support. These themes highlighted five factors, such as resilience, as potential quantitative predictors of quality of PA participation. While paired correlations with MeEAP scores were observed, these factors were not statistically predictive in multiple regression analysis (adjusted R2 = -0.14, F(10,50) = 0.92, p = .53). Implications. The interplay between Meaning, Autonomy, Engagement, and Belongingness dimensions of quality of PA participation was complex, with an emphasized role for mental health, in adults with disabilities.

PMID:37186790 | DOI:10.1177/00084174231160954

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Nevin Manimala Statistics

Are People with Aphasia Included in Stroke Trials? A Systematic Review and Narrative Synthesis

Clin Rehabil. 2023 May 15:2692155231172009. doi: 10.1177/02692155231172009. Online ahead of print.

ABSTRACT

OBJECTIVE: To examine the proportion of people with aphasia (PwA) included and retained in randomised controlled trials (RCTs) of stroke interventions published in the previous 6 years, as well as aphasia-relevant eligibility criteria and inclusion/retention strategies.

DATA SOURCES: Comprehensive searching of Embase, PubMed and Medline (Ovid) for the period January 2016 – November 2022.

REVIEW METHODS: RCTs examining stroke interventions targeting cognition, psychological wellbeing/health-related quality of life (HRQL), multidisciplinary rehabilitation, and self-management were included. Methodological quality was assessed using the Critical Appraisal Skills Programme (CASP) Randomised Controlled Trial checklist. Descriptive statistics were applied to extracted data, and results were reported narratively.

RESULTS: Fifty-seven RCTs were included. These examined self-management (32%), physical (26%) psychological wellbeing/HRQL (18%), cognitive (14%), and multidisciplinary (11%) interventions. Of 7313 participants, 107 (1.5%) had aphasia and were included in three trials. About one-third did not report on aphasia (32%); over one quarter required functional communication (28%); one quarter excluded all aphasia (25%); and 14% excluded severe aphasia. No aphasia-specific inclusion/retention strategies were available.

CONCLUSION: The findings highlight ongoing under-representation. However, due to shortcomings in aphasia reporting, the findings may underestimate actual inclusion rate. Excluding PwA has implications for the external validity, effectiveness, and implementation of stroke research findings. Triallists may require support in aphasia research strategies and methodological reporting.

PMID:37186769 | DOI:10.1177/02692155231172009

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Regional Citrate Anticoagulation or Heparin Anticoagulation for Renal Replacement Therapy in Patients With Liver Failure: A Systematic Review and Meta-Analysis

Clin Appl Thromb Hemost. 2023 Jan-Dec;29:10760296231174001. doi: 10.1177/10760296231174001.

ABSTRACT

In patients with liver failure complicated by acute kidney injury, renal replacement therapy (RRT) is often required to improve the internal environment. The use of anticoagulants for RRT in patients with liver failure remains controversial. We searched the PubMed, Embase, Cochrane Library, and Web of Science databases for studies. The methodological quality of the included studies was assessed using the Methodological Index for Nonrandomized Studies. A meta-analysis was performed using R software (version 3.5.1) and Review Manager (version 5.3.5). During RRT, 348 patients from 9 studies received regional citrate anticoagulation (RCA), and 127 patients from 5 studies received heparin anticoagulation (including heparin and LMWH). Among patients who received RCA, the incidence of citrate accumulation, metabolic acidosis, and metabolic alkalosis were 5.3% (95% confidence interval [CI]: 0%-25.3%), 26.4% (95% CI: 0-76.9), and 1.8% (95% CI: 0-6.8), respectively. The potassium, phosphorus, total bilirubin (TBIL), and creatinine levels were lower, whereas the serum pH, bicarbonate, base excess levels, and total calcium/ionized calcium ratio were higher after treatment than before treatment. Among patients who received heparin anticoagulation, the TBIL levels were lower, whereas the activated partial thromboplastin clotting time and D-dimer levels were higher after treatment than before treatment. The mortality rates in the RCA and heparin anticoagulation groups were 58.9% (95% CI: 39.2-77.3) and 47.4% (95% CI: 31.1-63.7), respectively. No statistical difference in mortality was observed between the 2 groups. For patients with liver failure, the administration of RCA or heparin for anticoagulation during RRT under strict monitoring may be safe and effective.

PMID:37186766 | DOI:10.1177/10760296231174001

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Lateral scanning Raman scattering lidar for accurate measurement of atmospheric temperature and water vapor from ground to height of interest

Opt Lett. 2023 May 15;48(10):2595-2598. doi: 10.1364/OL.488924.

ABSTRACT

A novel lateral scanning Raman scattering lidar (LSRSL) system is proposed, aiming to realize the accurate measurement of atmospheric temperature and water vapor from the ground to a height of interest and to overcome the effect of a geometrical overlap function of backward Raman scattering lidar. A configuration of the bistatic lidar is employed in the design of the LSRSL system, in which four horizontally aligned telescopes mounted on a steerable frame to construct the lateral receiving system are spatially separated to look at a vertical laser beam at a certain distance. Each telescope, combined with a narrowband interference filter, is utilized to detect the lateral scattering signals of the low- and high-quantum-number transitions of the pure rotational Raman scattering spectra and vibrational Raman scattering spectra of N2 and H2O. The profiling of lidar returns in the LSRSL system is performed by the elevation angle scanning of the lateral receiving system, in which the intensities of the lateral Raman scattering signals at each setting of elevation angles are sampled and analyzed. Preliminary experiments are carried out after the construction of a LSRSL system in Xi’an city, whose retrieval results and statistical error analyses present a good performance in the detection of atmospheric temperature and water vapor from the ground to a height of 1.11 km and show the feasibility for combination with backward Raman scattering lidar in atmospheric measurement.

PMID:37186717 | DOI:10.1364/OL.488924

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Nevin Manimala Statistics

Development and Validation of a Prediction Model for Incident Hypothyroidism in a National Chronic Kidney Disease Cohort

J Clin Endocrinol Metab. 2023 May 15:dgad261. doi: 10.1210/clinem/dgad261. Online ahead of print.

ABSTRACT

CONTEXT: Hypothyroidism is a common yet under-recognized condition in chronic kidney disease (CKD) patients, which may lead to end-organ complications if left untreated.

OBJECTIVE: We developed a prediction tool to identify CKD patients at-risk for incident hypothyroidism.

METHODS: Among 15,642 patients with stages 4-5 CKD without evidence of pre-existing thyroid disease, we developed and validated a risk prediction tool for the development of incident hypothyroidism (defined as TSH > 5.0mIU/L) using the Optum Labs Data Warehouse, which contains de-identified administrative claims, including medical and pharmacy claims and enrollment records for commercial and Medicare Advantage enrollees as well as electronic health record data. Patients were divided into a two-thirds development set and a one-third validation set. Prediction models were developed using Cox models to estimate probability of incident hypothyroidism.

RESULTS: There were 1650 (11%) cases of incident hypothyroidism during a median follow-up of 3.4 years. Characteristics associated with hypothyroidism included: older age, White race, higher BMI, low serum albumin, higher baseline TSH, hypertension, congestive heart failure, exposure to iodinated contrast via angiogram or CT scan, and amiodarone use. Model discrimination was good with similar C-statistics in the development and validation datasets: 0.77 (95%CI) 0.75-0.78 and 0.76 (95%CI) 0.74-0.78, respectively. Model goodness-of-fit (GOF) tests showed adequate fit in the overall cohort (p = 0.47) as well as in a subcohort of stage 5 CKD patients (p = 0.33).

CONCLUSION: In a national cohort of CKD patients, we developed a clinical prediction tool identifying those at-risk for incident hypothyroidism to inform prioritized screening, monitoring, and treatment in this population.

PMID:37186674 | DOI:10.1210/clinem/dgad261

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A Comprehensive Analysis of Risk Factors Associated With Inpatient Falls

J Patient Saf. 2023 May 16. doi: 10.1097/PTS.0000000000001123. Online ahead of print.

ABSTRACT

OBJECTIVES: The primary objective of this study was to identify the relationship between rates of falls among hospitalized patients and the use of inpatient medications associated with falls.

METHODS: This is a retrospective study on patients older than 60 years, hospitalized between January 1, 2021, and December 31, 2021. Ventilated patients and patients with a length of stay or fall less than 48 hours after admission were excluded. Falls were determined by assessing documented post fall assessments in the medical record. Patients who fell were matched 3:1 with control patients based on demographic data (age, sex, length of stay up to the fall time, and Elixhauser Comorbidity score). For controls, a pseudo time to fall was assigned based on matching. Medication information was gathered from barcode administration data. Statistical analysis was conducted using R and RStudio.

RESULTS: A total of 6363 fall patients and 19,089 controls met the inclusion and exclusion criteria. Seven drug classes were identified as statistically significant (P < 0.001) in increasing an inpatient’s rate of falling: angiotensin-converting enzyme inhibitors (unadjusted odds ratio [OR], 1.22), antipsychotics (OR, 1.93), benzodiazepines (OR, 1.57), serotonin modulators (OR, 1.2), selective serotonin-reuptake inhibitors (OR, 1.26), tricyclics and norepinephrine reuptake inhibitors (OR, 1.45), and miscellaneous antidepressants (OR, 1.54).

CONCLUSIONS: Hospitalized patients older than 60 years are more likely to fall while taking angiotensin-converting enzyme inhibitors, antipsychotics, benzodiazepines, serotonin modulators, selective serotonin-reuptake inhibitors, tricyclics, norepinephrine reuptake inhibitors, or miscellaneous antidepressants. Patients on opiates and diuretics had a significant decrease in rate of falls.

PMID:37186671 | DOI:10.1097/PTS.0000000000001123

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Nevin Manimala Statistics

Knowledge-guided data mining on the standardized architecture of NRPS: Subtypes, novel motifs, and sequence entanglements

PLoS Comput Biol. 2023 May 15;19(5):e1011100. doi: 10.1371/journal.pcbi.1011100. Online ahead of print.

ABSTRACT

Non-ribosomal peptide synthetase (NRPS) is a diverse family of biosynthetic enzymes for the assembly of bioactive peptides. Despite advances in microbial sequencing, the lack of a consistent standard for annotating NRPS domains and modules has made data-driven discoveries challenging. To address this, we introduced a standardized architecture for NRPS, by using known conserved motifs to partition typical domains. This motif-and-intermotif standardization allowed for systematic evaluations of sequence properties from a large number of NRPS pathways, resulting in the most comprehensive cross-kingdom C domain subtype classifications to date, as well as the discovery and experimental validation of novel conserved motifs with functional significance. Furthermore, our coevolution analysis revealed important barriers associated with re-engineering NRPSs and uncovered the entanglement between phylogeny and substrate specificity in NRPS sequences. Our findings provide a comprehensive and statistically insightful analysis of NRPS sequences, opening avenues for future data-driven discoveries.

PMID:37186644 | DOI:10.1371/journal.pcbi.1011100

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Nevin Manimala Statistics

Protocol for a systematic review of long-term physical sequelae and financial burden of multidrug-resistant and extensively drug-resistant tuberculosis

PLoS One. 2023 May 15;18(5):e0285404. doi: 10.1371/journal.pone.0285404. eCollection 2023.

ABSTRACT

INTRODUCTION: Multidrug resistant (MDR) and extensively drug-resistant (XDR) tuberculosis (TB) are major public health threats that are significant causes of physical sequelae and financial consequences for infected people. Treatment for MDR- and XDR-TB are more toxic and take longer duration than for drug-susceptible-TB. As a result, the long-term sequelae are thought to be more common among patients with MDR- and XDR-TB than drug-susceptible-TB, but this is yet to be quantified. Hence, the aim of this systematic review and meta-analysis is to quantify the global burden and types of long-term physical sequelae and financial burden associated with both MDR- and XDR-TB.

METHOD AND ANALYSIS: We will search CINHAL, MEDLINE, Embase, Scopus, and Web of science for studies that report physical and financial sequelae associated with rifampicin-resistant (RR), MDR- and XDR-TB or their treatments. The search will be conducted without time, language, and place restrictions. A random-effects meta-analysis will be conducted to estimate the pooled prevalence of each physical sequela. Heterogeneity will be measured using the Higgins I2 statistics. We will assess publication bias visually using the funnel plot and statistically using Egger’s test. Adjustments for publication basis will be made using Tweedie’s and Duval Trim and Fill analysis.

ETHICS AND DISSEMINATION: Since the study is based on published evidence, ethics approval is not required. The findings of the systematic review will be presented at various conferences and will be published in a peer-reviewed journal.

PROTOCOL REGISTRATION: The protocol is published in the PROSPERO with registration number CRD42021250909.

PMID:37186609 | DOI:10.1371/journal.pone.0285404

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Nevin Manimala Statistics

Partitioning and subsampling statistics in compartment-based quantification methods

PLoS One. 2023 May 15;18(5):e0285784. doi: 10.1371/journal.pone.0285784. eCollection 2023.

ABSTRACT

The precision of compartment-based quantification methods is subject to multiple effects, of which partitioning and subsampling play a major role. Partitioning is the process of aliquoting the sample liquid and consequently the contained target molecules, whereas subsampling denotes the fact that usually only a portion of a sample is analyzed. In this work, we present a detailed statistical description comprising the effects of partitioning and subsampling on the relative uncertainty of the test result. We show that the state-of-the-art binomial model does not provide accurate results for the level of subsampling present when analyzing the nucleic acid content of single specific cells. Hence, in this work we address partitioning and subsampling effects separately and subsequently combine them to derive the relative uncertainty of a test system and compare it for single cell content analysis and body fluid analysis. In point-of-care test systems the area for partitioning and detection is usually limited, which means that a trade-off between the number of partitions (related to a partitioning uncertainty) and the amount of analyzed volume (related to a subsampling uncertainty) might be inevitable. In case of low target concentration, the subsampling uncertainty is dominant whereas for high target concentration, the partitioning uncertainty increases, and a larger number of partitions is beneficial to minimize the combined uncertainty. We show, that by minimizing the subsampling uncertainty in the test system, the quantification uncertainty of low target concentrations in single cell content analysis is much smaller than in body fluid analysis. In summary, the work provides the methodological basis for a profound statistical evaluation of partitioning and subsampling effects in compartment-based quantification methods and paves the way towards an improved design of future digital quantification devices for highly accurate molecular diagnostic analysis at the point-of-care.

PMID:37186607 | DOI:10.1371/journal.pone.0285784