| 1. |
- Abdel Ghani, Rania Mahmoud, et al.
(author)
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A structured evidence-based approach to decrease cardiovascular complications among pregnant women with reumatic disease : a pilot randomized controlled trial
- 2010
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In: Journal of Medicine and Biomedical Science. - 2078-0273. ; :1, s. 8-15
-
Journal article (peer-reviewed)abstract
- Background: Recent reports from the developing world have documented rheumatic fever (RE) incidence rates as high as 206/100 000 and Rheumatic Heart Disease (RHD) prevalence rates as high as 18.6/1000. The high frequency of RHD in the developing world necessitates aggressive prevention and control measures. Aim: The aim of the study was to examine the effect of intensive antenatal follow up program on decreasing cardiovascular complications among rheumatic pregnant woman. Design: Randomized controlled trial. Setting: This study was conducted at El Kasr-EL Aini, maternity hospital- Cairo- University Hospitals. Sample: A total of 100 rheumatic pregnant women that attended the antenatal clinic at El Kasr-EL Aini, maternity hospital who could read and write, had functional class I and II cardiac disease, primigravida, nullipara with single fetus were recruited to this study and assigned randomly into two groups. Procedure: Women who met the inclusion criteria were interviewed and baseline assessment was done. The intervention was an intensive antenatal follow up program for decreasing cardiovascular complications among rheumatic pregnant woman. Patients in the study group (SG) were offered an intervention at three levels, basic, intermediate and comprehensive. Evaluation of the program was carried out in term of assessment of maternal and neonatal outcome. Results: There were several significant differences between the study group (SG) and control group (CG). In the SG, antepartum complications was less common, gestational age at birth was higher, postnatal hospital stay shorter, birth weight higher, more had vaginal deliveries with episiotomy, fewer had caesarean section, forceps deliveries and termination of pregnancy, and cardiac class was better at follow up as compared to the CG. Conclusion: The difficult issues in pregnancy complications by cardiac disease are best managed through a team approach. Establishing a pre-pregnancy plan will foster a better therapeutic relationship between all parties and allow for better understanding of the patient’s beliefs regarding pregnancy, her disease and attitude towards medications.
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| 2. |
- Abdel Ghani, Rania Mahmoud, et al.
(author)
-
A structured evidence-based approach to decrease cardiovascular complications among pregnant women with reumatic disease : a pilot randomized controlled trial
- 2010
-
In: Journal of Medicine and Biomedical Science. - 2078-0273. ; :1, s. 8-15
-
Journal article (peer-reviewed)abstract
- Background: Recent reports from the developing world have documented rheumatic fever (RE) incidence rates as high as 206/100 000 and Rheumatic Heart Disease (RHD) prevalence rates as high as 18.6/1000. The high frequency of RHD in the developing world necessitates aggressive prevention and control measures. Aim: The aim of the study was to examine the effect of intensive antenatal follow up program on decreasing cardiovascular complications among rheumatic pregnant woman. Design: Randomized controlled trial. Setting: This study was conducted at El Kasr-EL Aini, maternity hospital- Cairo- University Hospitals. Sample: A total of 100 rheumatic pregnant women that attended the antenatal clinic at El Kasr-EL Aini, maternity hospital who could read and write, had functional class I and II cardiac disease, primigravida, nullipara with single fetus were recruited to this study and assigned randomly into two groups. Procedure: Women who met the inclusion criteria were interviewed and baseline assessment was done. Theintervention was an intensive antenatal follow up program for decreasing cardiovascular complications among rheumatic pregnant woman. Patients in the study group (SG) were offered an intervention at three levels, basic, intermediate and comprehensive. Evaluation of the program was carried out in term of assessment of maternal and neonatal outcome. Results: There were several significant differences between the study group (SG) and control group (CG). In the SG, antepartum complications was less common, gestational age at birth was higher, postnatal hospital stay shorter, birth weight higher, more had vaginal deliveries with episiotomy, fewer had caesarean section, forceps deliveries and termination of pregnancy, and cardiac class was better at follow up as compared to the CG. Conclusion: The difficult issues in pregnancy complications by cardiac disease are best managed through a team approach. Establishing a pre-pregnancy plan will foster a better therapeutic relationship between all parties and allow for better understanding of the patient’s beliefs regarding pregnancy, her disease and attitude towards medications.
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| 3. |
- Borgmästars, Emmy, et al.
(author)
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Metabolomics for early pancreatic cancer detection in plasma samples from a Swedish prospective population-based biobank
- 2024
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In: Journal of Gastrointestinal Oncology. - : AME Publishing Company. - 2078-6891 .- 2219-679X. ; 15:2, s. 755-767
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Journal article (peer-reviewed)abstract
- Background: Pancreatic ductal adenocarcinoma (pancreatic cancer) is often detected at late stages resulting in poor overall survival. To improve survival, more patients need to be diagnosed early when curative surgery is feasible. We aimed to identify circulating metabolites that could be used as early pancreatic cancer biomarkers.Methods: We performed metabolomics by liquid and gas chromatography-mass spectrometry in plasma samples from 82 future pancreatic cancer patients and 82 matched healthy controls within the Northern Sweden Health and Disease Study (NSHDS). Logistic regression was used to assess univariate associations between metabolites and pancreatic cancer risk. Least absolute shrinkage and selection operator (LASSO) logistic regression was used to design a metabolite-based risk score. We used receiver operating characteristic (ROC) analyses to assess the discriminative performance of the metabolite-based risk score.Results: Among twelve risk-associated metabolites with a nominal P value <0.05, we defined a risk score of three metabolites [indoleacetate, 3-hydroxydecanoate (10:0-OH), and retention index (RI): 2,745.4] using LASSO. A logistic regression model containing these three metabolites, age, sex, body mass index (BMI), smoking status, sample date, fasting status, and carbohydrate antigen 19-9 (CA 19-9) yielded an internal area under curve (AUC) of 0.784 [95% confidence interval (CI): 0.714–0.854] compared to 0.681 (95% CI: 0.597–0.764) for a model without these metabolites (P value =0.007). Seventeen metabolites were significantly associated with pancreatic cancer survival [false discovery rate (FDR) <0.1].Conclusions: Indoleacetate, 3-hydroxydecanoate (10:0-OH), and RI: 2,745.4 were identified as the top candidate biomarkers for early detection. However, continued efforts are warranted to determine the usefulness of these metabolites as early pancreatic cancer biomarkers.
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| 4. |
- Borgmästars, Emmy, et al.
(author)
-
Metabolomics for early pancreatic cancer detection in plasma samples from a Swedish prospective population-based biobank
- 2024
-
In: Journal of Gastrointestinal Oncology. - : AME Publishing Company. - 2078-6891 .- 2219-679X. ; 15:2, s. 755-767
-
Journal article (peer-reviewed)abstract
- Background: Pancreatic ductal adenocarcinoma (pancreatic cancer) is often detected at late stages resulting in poor overall survival. To improve survival, more patients need to be diagnosed early when curative surgery is feasible. We aimed to identify circulating metabolites that could be used as early pancreatic cancer biomarkers.Methods: We performed metabolomics by liquid and gas chromatography-mass spectrometry in plasma samples from 82 future pancreatic cancer patients and 82 matched healthy controls within the Northern Sweden Health and Disease Study (NSHDS). Logistic regression was used to assess univariate associations between metabolites and pancreatic cancer risk. Least absolute shrinkage and selection operator (LASSO) logistic regression was used to design a metabolite-based risk score. We used receiver operating characteristic (ROC) analyses to assess the discriminative performance of the metabolite-based risk score.Results: Among twelve risk-associated metabolites with a nominal P value <0.05, we defined a risk score of three metabolites [indoleacetate, 3-hydroxydecanoate (10:0-OH), and retention index (RI): 2,745.4] using LASSO. A logistic regression model containing these three metabolites, age, sex, body mass index (BMI), smoking status, sample date, fasting status, and carbohydrate antigen 19-9 (CA 19-9) yielded an internal area under curve (AUC) of 0.784 [95% confidence interval (CI): 0.714–0.854] compared to 0.681 (95% CI: 0.597–0.764) for a model without these metabolites (P value =0.007). Seventeen metabolites were significantly associated with pancreatic cancer survival [false discovery rate (FDR) <0.1].Conclusions: Indoleacetate, 3-hydroxydecanoate (10:0-OH), and RI: 2,745.4 were identified as the top candidate biomarkers for early detection. However, continued efforts are warranted to determine the usefulness of these metabolites as early pancreatic cancer biomarkers.
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