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RISS 인기검색어
- 검색키워드
- 저자 : Nadia Shah (검색결과 4 건)
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Chirag A. Shah,Tiffany Beck,John B. Liao,Nadia V. Giannakopoulos,Dan Veljovich,Pam Paley 대한부인종양학회 2017 Journal of Gynecologic Oncology Vol.28 No.6
Objective: The use of robotic radical hysterectomy has greatly increased in the treatment of early stage cervical cancer. We sought to compare surgical and oncologic outcomes of women undergoing robotic radical hysterectomy compared to open radical hysterectomy. Methods: The clinic-pathologic, treatment, and recurrence data were abstracted through an Institutional Review Board-approved protocol at 2 separate large tertiary care centers in Seattle, Swedish Medical Center and the University of Washington. Data were collected from 2001–2012. Comparisons between the robotic and open cohorts were made for complications, recurrence, progression-free survival (PFS), and overall survival (OS). Results: In the study period, 109 robotic radical hysterectomies were performed. These were compared to 202 open radical hysterectomies. The groups were comparable in terms of age and body mass index (BMI). Length of stay (LOS) was considerably shorter in the robotic group (42.7 vs. 112.6 hours, p<0.001) as was estimated blood loss (EBL; 105.9 vs. 482.6 mL, p<0.001). There were more complications in the open radical hysterectomy group, 23.4% vs. 9.2% in the robotic group (p=0.002). The recurrence rate was comparable between the groups (10.1% vs. 10.4%, p=0.730). In multivariate adjusted analysis, robotic surgery was not a statistically significant predictor of PFS (p=0.230) or OS (0.85). Conclusion: Our study, one of the largest multi-institution cohorts of patients undergoing robotic radical hysterectomy, suggest robotic radical hysterectomy leads to comparable oncologic outcomes in the treatment of early stage cervical cancer with improved short-term surgical outcomes such as decreased LOS and EBL.
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Muhammad Tariq Karim,Sumera Inam,Tariq Ashraf,Nadia Shah,Syed Omair Adil,Kashif Shafique 대한예방의학회 2018 Journal of Preventive Medicine and Public Health Vol.51 No.2
Objectives: Areca nut is widely consumed in many parts of the world, especially in South and Southeast Asia, where cardiovascular disease (CVD) is also a huge burden. Among the forms of CVD, acute coronary syndrome (ACS) is a major cause of mortality and morbidity. Research has shown areca nut chewing to be associated with diabetes, hypertension, oropharyngeal and esophageal cancers, and CVD, but little is known about mortality and re-hospitalization secondary to ACS among areca nut users and non-users. Methods: A prospective cohort was studied to quantify the effect of areca nut chewing on patients with newly diagnosed ACS by categorizing the study population into exposed and non-exposed groups according to baseline chewing status. Cox proportional hazards models were used to examine the associations of areca nut chewing with the risk of re-hospitalization and 30-day mortality secondary to ACS. Results: Of the 384 ACS patients, 49.5% (n=190) were areca users. During 1-month of follow-up, 20.3% (n=78) deaths and 25.1% (n=96) re-hospitalizations occurred. A higher risk of re-hospitalization was found (adjusted hazard ratio [aHR], 2.05; 95% confidence interval [CI], 1.29 to 3.27; p=0.002) in areca users than in non-users. Moreover, patients with severe disease were at a significantly higher risk of 30-day mortality (aHR, 2.77; 95% CI, 1.67 to 4.59; p<0.001) and re-hospitalization (aHR, 2.72; 95% CI, 1.73 to 4.26; p<0.001). Conclusions: The 30-day re-hospitalization rate among ACS patients was found to be significantly higher in areca users and individuals with severe disease. These findings suggest that screening for a history of areca nut chewing may help to identify patients at a high risk for re-hospitalization due to secondary events.
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Karim, Muhammad Tariq,Inam, Sumera,Ashraf, Tariq,Shah, Nadia,Adil, Syed Omair,Shafique, Kashif The Korean Society for Preventive Medicine 2018 Journal of Preventive Medicine and Public Health Vol.51 No.2
Objectives: Areca nut is widely consumed in many parts of the world, especially in South and Southeast Asia, where cardiovascular disease (CVD) is also a huge burden. Among the forms of CVD, acute coronary syndrome (ACS) is a major cause of mortality and morbidity. Research has shown areca nut chewing to be associated with diabetes, hypertension, oropharyngeal and esophageal cancers, and CVD, but little is known about mortality and re-hospitalization secondary to ACS among areca nut users and non-users. Methods: A prospective cohort was studied to quantify the effect of areca nut chewing on patients with newly diagnosed ACS by categorizing the study population into exposed and non-exposed groups according to baseline chewing status. Cox proportional hazards models were used to examine the associations of areca nut chewing with the risk of re-hospitalization and 30-day mortality secondary to ACS. Results: Of the 384 ACS patients, 49.5% (n=190) were areca users. During 1-month of follow-up, 20.3% (n=78) deaths and 25.1% (n=96) re-hospitalizations occurred. A higher risk of re-hospitalization was found (adjusted hazard ratio [aHR], 2.05; 95% confidence interval [CI], 1.29 to 3.27; p=0.002) in areca users than in non-users. Moreover, patients with severe disease were at a significantly higher risk of 30-day mortality (aHR, 2.77; 95% CI, 1.67 to 4.59; p<0.001) and re-hospitalization (aHR, 2.72; 95% CI, 1.73 to 4.26; p<0.001). Conclusions: The 30-day re-hospitalization rate among ACS patients was found to be significantly higher in areca users and individuals with severe disease. These findings suggest that screening for a history of areca nut chewing may help to identify patients at a high risk for re-hospitalization due to secondary events.
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Variability and Predictability of Summer Monsoon Rainfall over Pakistan
Adnan Muhammad,Khan Firdos,Rehman Nadia,Ali Shaukat,Hassan Sher Shah,Dogar Muhammad Mubashar,Mehmood Shahbaz,Hasson Shabehul 한국기상학회 2021 Asia-Pacific Journal of Atmospheric Sciences Vol.57 No.1
Rainfall variability associated with the South Asian Summer Monsoon has increased in recent decades, particularly at the northwestern monsoon margins over Pakistan, leading to more frequent and intense hydro-meteorological extremes that have adversely affected the agrarian economy, water and food security in the country. Devising effective strategies to ensure sustainable development in Pakistan thus requires that the monsoonal rainfall be predicted on an inter-annual scale. Here, we predicted the inter- and intra-annual variability of the monsoonal rainfall over Pakistan and its possible drivers using a linear statistical forecast model of the principal component (PC) regression analysis. For this purpose, highly correlated PCs of the National Centre for Environmental Prediction (NCEP) based sea level pressure, horizontal and meridional winds to the observed rainfall for the period 2001–2013 were ingested in a stepwise multiple regression model, which was further validated for the duration of 2014–2015. Our results suggest that featuring correlation coefficient, mean absolute error, mean bias, and root mean square error of 0.75, 42.23, −14.92 and 60.65, respectively, the model exhibits robust skill in predicting the inter-annual monsoonal rainfall variability at its extreme northwestern margins over Pakistan.
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