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  1. Article: Blood Cholesterol and Triglycerides Associate with Right Ventricular Function in Pulmonary Hypertension.

    Fakhry, Battoul / Peterson, Laura / Comhair, Suzy A A / Sharp, Jacqueline / Park, Margaret M / Tang, W H Wilson / Neumann, Donald R / DiFilippo, Frank P / Farha, Samar / Erzurum, Serpil C / Mulya, Anny

    medRxiv : the preprint server for health sciences

    2024  

    Abstract: Background: Blood lipids are dysregulated in pulmonary hypertension (PH). Lower high-density lipoproteins cholesterol (HDL-C) and low-density lipoproteins cholesterol (LDL-C) are associated with disease severity and death in PH. Right ventricle (RV) ... ...

    Abstract Background: Blood lipids are dysregulated in pulmonary hypertension (PH). Lower high-density lipoproteins cholesterol (HDL-C) and low-density lipoproteins cholesterol (LDL-C) are associated with disease severity and death in PH. Right ventricle (RV) dysfunction and failure are the major determinants of morbidity and mortality in PH. This study aims to test the hypothesis that dyslipidemia is associated with RV dysfunction in PH.
    Methods: We enrolled healthy control subjects (n=12) and individuals with PH (n=30) (age: 18-65 years old). Clinical characteristics, echocardiogram, 2-[18F] fluoro-2-deoxy-D-glucose positron emission tomography (PET) scan, blood lipids, including total cholesterol (TC), triglycerides (TG), lipoproteins (LDL-C and HDL-C), and N-terminal pro-B type Natriuretic Peptide (NT-proBNP) were determined.
    Results: Individuals with PH had lower HDL-C [PH, 41±12; control, 56±16 mg/dL,
    Conclusion: These findings confirm dyslipidemia is associated with worse right ventricular function in PH.
    Language English
    Publishing date 2024-01-22
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2024.01.20.24301498
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Novel Machine Learning Identifies Five Asthma Phenotypes Using Cluster Analysis of Real-World Data.

    Wu, Chao-Ping / Sleiman, Joelle / Fakhry, Battoul / Chedraoui, Celine / Attaway, Amy / Bhattacharyya, Anirban / Bleecker, Eugene R / Erdemir, Ahmet / Hu, Bo / Kethireddy, Shravan / Meyers, Deborah A / Rashidi, Hooman H / Zein, Joe G

    The journal of allergy and clinical immunology. In practice

    2024  

    Abstract: Background: Asthma classification into different sub-phenotypes is important to guide personalized therapy and improve outcomes.: Objectives: This study sought to further explore asthma heterogeneity through determination of multiple patient groups ... ...

    Abstract Background: Asthma classification into different sub-phenotypes is important to guide personalized therapy and improve outcomes.
    Objectives: This study sought to further explore asthma heterogeneity through determination of multiple patient groups by using novel machine learning (ML) approaches and large-scale real-world data.
    Methods: We used electronic health records of patients with asthma followed at the Cleveland Clinic between 2010 and 2021. We employed k-prototype unsupervised ML to develop a clustering model where predictors were age, gender, race, body mass index (BMI), pre- and post-bronchodilator (BD) spirometry measurements, and the usage of inhaled/systemic steroids. We applied elbow and silhouette plots to select the optimal number of clusters. These clusters were then evaluated through LightGBM's supervised ML approach on their cross validated F1 score to support their distinctiveness.
    Results: Data from 13,498 patients with asthma with available post-BD spirometry measurements were extracted to identify 5 stable clusters. Cluster 1 included a young non-severe asthma population with normal lung function and higher frequency of acute exacerbation (0.8 /patient-year). Cluster 2 had the highest BMI (mean (SD): 44.44 (7.83) kg/m2), and the highest proportion of female (77.5%) and African Americans (28.9%). Cluster 3 comprised patients with normal lung function. Cluster 4 included patients with lower FEV1% of 77.03 (12.79) and poor response to bronchodilators. Cluster 5 had the lowest FEV1% of 68.08 (15.02), the highest post-BD reversibility, and the highest proportion of severe asthma (44.9%) and blood eosinophilia (>300 cells/μL) (34.8%).
    Conclusion: Using real-world data and unsupervised ML, we classified asthma into 5 clinically important sub-phenotypes where group-specific asthma treatment and management strategies can be designed and deployed.
    Language English
    Publishing date 2024-04-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2843237-X
    ISSN 2213-2201 ; 2213-2198
    ISSN (online) 2213-2201
    ISSN 2213-2198
    DOI 10.1016/j.jaip.2024.04.035
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 7086: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  3. Article ; Online: Paradoxical bronchodilator response is associated with increased risk of asthma exacerbations.

    Fakhry, Battoul / Chedraoui, Celine / Sleiman, Joelle / Attaway, Amy / Carr, Tara / Gaston, Benjamin / Hu, Bo / Meyers, Deborah / Ortega, Victor E / Bleecker, Eugene R / Zein, Joe

    The journal of allergy and clinical immunology. In practice

    2024  

    Language English
    Publishing date 2024-03-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2843237-X
    ISSN 2213-2201 ; 2213-2198
    ISSN (online) 2213-2201
    ISSN 2213-2198
    DOI 10.1016/j.jaip.2024.03.028
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 7086: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  4. Article ; Online: Knowledge, Attitude, and Practice Toward Cardiovascular Diseases in the Lebanese Population.

    Machaalani, Marc / Fakhry, Battoul / Zwaideh, Maisoon / Mendelek, Karl / Mahmoud, Nadine / Hammoud, Talal / Chahine, Mirna N

    Global heart

    2022  Volume 17, Issue 1, Page(s) 47

    Abstract: Background & objective: Cardiovascular diseases (CVD) are the leading cause of death globally. Assessing CVD knowledge, attitude, and practice (KAP) is necessary to spread awareness about CVD in Lebanon, their corresponding risk factors, and behaviors ... ...

    Abstract Background & objective: Cardiovascular diseases (CVD) are the leading cause of death globally. Assessing CVD knowledge, attitude, and practice (KAP) is necessary to spread awareness about CVD in Lebanon, their corresponding risk factors, and behaviors in which individuals can avoid or minimize the possibility of developing a CVD.
    Subjects & methods: This was a case-control analytical study that targeted 921 CVD and non-CVD subjects. A questionnaire form was used to collect data related to patients' demographics, socioeconomic status, habits, medical and family history, KAP towards CVD, and source of information. Data was analyzed using SPSS v.25.
    Results: Data from 921 participants were distributed over the CVD group (52.6% males aged 58.3 ± 13.7 years [n = 460]) and the non-CVD group (47.7% males aged 36.3 ± 15.4 years [n = 461]). CVD patients were significantly older than non-CVD subjects (p < 0.001). All three KAP scores of both groups were of poor to fair levels. Both CVD knowledge and attitude mean scores in CVD patients (26.6 ± 5.2 over 40 [66.50%] and 63.3 ± 10.2 over 85 [74.47%], respectively) were significantly higher than the ones of non-CVD subjects (23.5 ± 7.9 over 40 [58.75%] and 61.4 ± 12.4 over 85 [72.74%], respectively, p < 0.001). However, the CVD mean practice score was significantly lower in CVD patients (6.0 ± 1.7 over 9 [66.67%]) than the one of non-CVD subjects (6.3 ± 2.2 over 9 [70.00%] p < 0.001). Mostly, educational level (p < 0.001), governorate (p < 0.01), and smoking (p < 0.001) were predictors of KAP CVD in both groups.
    Conclusion: With an overall limited knowledge, attitude, and practice toward CVDs, the Lebanese population (with CVD or non-CVD) needs targeted national campaigns about CVD according to the identified predictors of CVD KAP to prevent and to alleviate the complications due to CVDs.
    MeSH term(s) Cardiovascular Diseases/epidemiology ; Cardiovascular Diseases/prevention & control ; Cross-Sectional Studies ; Female ; Health Knowledge, Attitudes, Practice ; Humans ; Lebanon/epidemiology ; Male ; Surveys and Questionnaires
    Language English
    Publishing date 2022-07-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 2629633-0
    ISSN 2211-8179 ; 2211-8160
    ISSN (online) 2211-8179
    ISSN 2211-8160
    DOI 10.5334/gh.1138
    Database MEDical Literature Analysis and Retrieval System OnLINE

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