Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 7 de 7
Filter
Add more filters










Language
Publication year range
1.
PLoS One ; 18(12): e0295427, 2023.
Article in English | MEDLINE | ID: mdl-38060576

ABSTRACT

Studies in the past have examined asthma prevalence and the associated risk factors in the United States using data from national surveys. However, the findings of these studies may not be relevant to specific states because of the different environmental and socioeconomic factors that vary across regions. The 2019 Behavioral Risk Factor Surveillance System (BRFSS) showed that Michigan had higher asthma prevalence rates than the national average. In this regard, we employ various modern machine learning techniques to predict asthma and identify risk factors associated with asthma among Michigan adults using the 2019 BRFSS data. After data cleaning, a sample of 10,337 individuals was selected for analysis, out of which 1,118 individuals (10.8%) reported having asthma during the survey period. Typical machine learning techniques often perform poorly due to imbalanced data issues. To address this challenge, we employed two synthetic data generation techniques, namely the Random Over-Sampling Examples (ROSE) and Synthetic Minority Over-Sampling Technique (SMOTE) and compared their performances. The overall performance of machine learning algorithms was improved using both methods, with ROSE performing better than SMOTE. Among the ROSE-adjusted models, we found that logistic regression, partial least squares, gradient boosting, LASSO, and elastic net had comparable performance, with sensitivity at around 50% and area under the curve (AUC) at around 63%. Due to ease of interpretability, logistic regression is chosen for further exploration of risk factors. Presence of chronic obstructive pulmonary disease, lower income, female sex, financial barrier to see a doctor due to cost, taken flu shot/spray in the past 12 months, 18-24 age group, Black, non-Hispanic group, and presence of diabetes are identified as asthma risk factors. This study demonstrates the potentiality of machine learning coupled with imbalanced data modeling approaches for predicting asthma from a large survey dataset. We conclude that the findings could guide early screening of at-risk asthma patients and designing appropriate interventions to improve care practices.


Subject(s)
Asthma , Pulmonary Disease, Chronic Obstructive , Adult , Humans , Female , United States , Behavioral Risk Factor Surveillance System , Michigan/epidemiology , Asthma/diagnosis , Asthma/epidemiology , Socioeconomic Factors
2.
Proc Natl Acad Sci U S A ; 119(13): e2120336119, 2022 03 29.
Article in English | MEDLINE | ID: mdl-35320046

ABSTRACT

SignificanceTissue fibrotic diseases, for example of the liver and lung, represent a huge unmet medical need. In this study, using single-cell RNA sequencing, cytometry by time of flight (CyTOF), tissue imaging, and functional assays, we identify a complex vascular niche in Dupuytren's disease (DD), a common localized fibrotic condition of the palm, where early-disease-stage tissue can be accessed readily. We uncover a population of myofibroblast precursors within the pericyte compartment and demonstrate that the endothelium instructs the differentiation of functionally distinct stromal cells, thereby orchestrating discrete microenvironments in the fibrotic milieu. Together, these findings provide a basis for the concept of targeting blood vessel signaling to control the progression of human fibrosis.


Subject(s)
Dupuytren Contracture , Myofibroblasts , Dupuytren Contracture/genetics , Dupuytren Contracture/pathology , Fibrosis , Humans , Myofibroblasts/pathology , Phenotype , Stromal Cells , Tumor Microenvironment
3.
Int J Radiat Oncol Biol Phys ; 111(5): 1250-1261, 2021 12 01.
Article in English | MEDLINE | ID: mdl-34400268

ABSTRACT

PURPOSE: Preclinical studies using ultra-high dose rate (FLASH) irradiation have demonstrated reduced normal tissue toxicity compared with conventional dose rate (CONV) irradiation, although this finding is not universal. We investigated the effect of temporal pulse structure and average dose rate of FLASH compared with CONV irradiation on acute intestinal toxicity. MATERIALS AND METHODS: Whole abdomens of C3H mice were irradiated with a single fraction to various doses, using a 6 MeV electron linear accelerator with single pulse FLASH (dose rate = 2-6 × 106 Gy/s) or conventional (CONV; 0.25 Gy/s) irradiation. At 3.75 days postirradiation, fresh feces were collected for 16S rRNA sequencing to assess changes in the gut microbiota. A Swiss roll-based crypt assay was used to quantify acute damage to the intestinal crypts to determine how tissue toxicity was affected by the different temporal pulse structures of FLASH delivery. RESULTS: We found statistically significant improvements in crypt survival for mice irradiated with FLASH at doses between 7.5 and 12.5 Gy, with a dose modifying factor of 1.1 for FLASH (7.5 Gy, P < .01; 10 Gy, P < .05; 12.5 Gy, P < .01). This sparing effect was lost when the delivery time was increased, either by increasing the number of irradiation pulses or by prolonging the time between 2 successive pulses. Sparing was observed for average dose rates of ≥280 Gy/s. Fecal microbiome analysis showed that FLASH irradiation caused fewer changes to the microbiota than CONV irradiation. CONCLUSIONS: This study demonstrates that FLASH irradiation can spare mouse small intestinal crypts and reduce changes in gut microbiome composition compared with CONV irradiation. The higher the average dose rate, the larger the FLASH effect, which is also influenced by temporal pulse structure of the delivery.


Subject(s)
Gastrointestinal Tract , Particle Accelerators , Animals , Mice , Mice, Inbred C3H , RNA, Ribosomal, 16S , Radiotherapy Dosage
4.
Clin Toxicol (Phila) ; 57(9): 773-777, 2019 Sep.
Article in English | MEDLINE | ID: mdl-30729854

ABSTRACT

Introduction: Cannabinoid hyperemesis syndrome (CHS) can be characterized by recurrent paroxysmal episodes of intractable nausea and vomiting, abdominal pain, and compulsive hot showers/baths with symptom relief, on the background of chronic cannabis use. We reported the use of droperidol in the management of CHS. Methods: We performed a retrospective review of electronic medical records of Emergency Department presentations to a single tertiary level metropolitan hospital between January 2006 and December 2016 using search keywords: "cannabis", "cannabinoid", "cannabis", "hyperemesis", and "droperidol". A secondary search of pharmacy droperidol dispensing records was cross matched with electronic medical record data. We reviewed each record to determine if the presentation met previously published diagnostic criteria for CHS. Data were dichotomised into presentations with droperidol administered or not administered. The primary outcome was defined as the total length of hospital stay. Secondary outcomes measures included time until discharge following last drug administration, and the total number of antiemetic dosages administered. Results: Six-hundred and eighty-nine records were identified and 76 met CHS diagnostic criteria. Thirty-seven presentations were treated with droperidol and 39 were not. Droperidol treatment group median length of stay was significantly lower compared to the no droperidol treatment group (6.7 vs. 13.9 hours, p = .014). Median time to discharge after final drug administration in the droperidol treatment group was 137 minutes (IQR 65, 203) vs. the no droperidol treatment group of 185 minutes (IQR 149, 403). The most frequent dosage of droperidol used was 0.625mg intravenously. The frequency of ondansetron (n = 100) and metoclopramide (n = 27) in the no droperidol treatment group was double that of the droperidol group. Conclusions: Use of droperidol to treat CHS associated nausea and vomiting resulted in less overall use of antiemetics and reduced length of stay.


Subject(s)
Antiemetics/therapeutic use , Cannabis/adverse effects , Droperidol/therapeutic use , Vomiting/drug therapy , Adult , Female , Humans , Male , Marijuana Abuse/complications , Middle Aged , Retrospective Studies , Syndrome , Treatment Outcome , Vomiting/chemically induced , Young Adult
5.
Carib Med J ; 51(1-4): 32-35, 1990.
Article in English | MedCarib | ID: med-4455
6.
Convuls Ther ; 5(4): 353-361, 1989.
Article in English | MEDLINE | ID: mdl-11941035

ABSTRACT

Five patients with chronic psychosis and episodic aggressive dyscontrol were treated with electroconvulsive therapy (ECT). Four patients also demonstrated clinical evidence of seizure disorder. ECT resulted in marked reduction of both episodic aggressive dyscontrol and clinical seizures, with modest improvement of psychosis. No patient developed clinical signs of organic brain syndrome during ECT. Albeit in a small number of patients, our findings indicate that ECT may have short-term therapeutic effects on episodic aggressive dyscontrol in patients with chronic psychoses.

7.
Convuls Ther ; 4(1): 74-80, 1988.
Article in English | MEDLINE | ID: mdl-11940944

ABSTRACT

It has been suggested that unilateral electroconvulsive therapy (ECT) is less effective than bilateral ECT in manic patients. In a pilot study, six medication-resistant manic patients received either left or right unilateral ECT. In an ongoing study, 14 similar patients were randomly assigned to receive left unilateral, right unilateral, or bilateral ECT. Across both studies, a therapeutic equivalence for unilateral and bilateral ECT was found. Possible reasons for disparate findings with respect to the efficacy of unilateral ECT in mania are discussed.

SELECTION OF CITATIONS
SEARCH DETAIL
...