scholarly journals Comparison of early effects of PCV7, PCV10 and PCV13 on S. pneumoniae (SP) nasopharyngeal carriage in a population based study; the Palestinian-Israeli Collaborative Research (PICR)

2018 ◽  
Author(s):  
Rania Abu Seir ◽  
Kifaya Azmi ◽  
Ayob Hamdan ◽  
Hanan Namouz ◽  
Fuad Jaar ◽  
...  

AbstractBackgroundPneumococcal conjugate vaccines (PCVs), PCV10 and PCV13, are currently used in different countries. We have previously reported the effectiveness of PCV7, following its introduction in Israel and before PCVs were introduced in Palestine. Here, we extended the study and compared the initial impact of PCV10 to that of PCV7/13.MethodsFour cross-sectional surveys of S. pneumoniae carriage among children <5y through 2009-2014 were preformed among two proximate populations, living under two distinct health authorities, with different vaccination policies. In East-Jerusalem (EJ), PCV7 was implemented in 2009 and replaced by PCV13 in late 2010, while in Palestine (PA), PCV10 was implemented in 2011.ResultsA total of 1267 and 2414 children from EJ and PA were screened. Implementation of both PCV7 (in EJ) and PCV10 (in PA) did not affect overall S. pneumoniae carriage (∼30%), but resulted in a significant decrease in carriage of VT7 strains. In the pre-vaccine era, VT7/VT13 strains consisted 47.0%/62.0% and 41.2%/54.8% of pneumococci in EJ and PA, respectively. A 48.6% and 53.9% decrease was observed within 3 years of PCV7 implementation in EJ (p= 0.001) and PCV10 in PA (p<0.0001), respectively. These vaccination policies also resulted in ∼50% reduction in VT13-added serotypes especially 6A (from 11.0% to 0.0% (EJ) and 9.5% to 4.9% (PA)). Three years after PCV13 implementation in EJ, an additional 67% decrease in VT13 strains was observed, yet an increase in serotype 3 was observed (0.0% to 3.4%, p=0.056). The prevalence of non-VT13 strains increased during the study period from 38% and 45.3% to 89.8% and 70.7%, in EJ and in PA respectively.ConclusionsWithin the first three years following PCV implementation, we observed similar reductions in carriage of VT10 and VT13 strains with either vaccination policies, with no effect on overall carriage. Further follow-up is needed to compare the long-term effects.


VASA ◽  
2017 ◽  
Vol 46 (4) ◽  
pp. 291-295 ◽  
Author(s):  
Soumia Taimour ◽  
Moncef Zarrouk ◽  
Jan Holst ◽  
Olle Melander ◽  
Gunar Engström ◽  
...  

Abstract. Background: Biomarkers reflecting diverse pathophysiological pathways may play an important role in the pathogenesis of abdominal aortic aneurysm (aortic diameter ≥30 mm, AAA), levels of many biomarkers are elevated and correlated to aortic diameter among 65-year-old men undergoing ultrasound (US) screening for AAA. Probands and methods: To evaluate potential relationships between biomarkers and aortic dilatation after long-term follow-up, levels of C-reactive protein (CRP), proneurotensin (PNT), copeptin (CPT), lipoprotein-associated phospholipase 2 (Lp-PLA2), cystatin C (Cyst C), midregional proatrial natriuretic peptide (MR-proANP), and midregional proadrenomedullin (MR-proADM) were measured in 117 subjects (114 [97 %] men) aged 47–49 in a prospective population-based cohort study, and related to aortic diameter at US examination of the aorta after 14–19 years of follow-up. Results: Biomarker levels at baseline did not correlate with aortic diameter after 14–19 years of follow up (CRP [r = 0.153], PNT [r = 0.070], CPT [r = –.156], Lp-PLA2 [r = .024], Cyst C [r = –.015], MR-proANP [r = 0.014], MR-proADM [r = –.117]). Adjusting for age and smoking at baseline in a linear regression model did not reveal any significant correlations. Conclusions: Tested biomarker levels at age 47–49 were not associated with aortic diameter at ultrasound examination after 14–19 years of follow-up. If there are relationships between these biomarkers and aortic dilatation, they are not relevant until closer to AAA diagnosis.



2005 ◽  
Vol 12 (3) ◽  
pp. 194-198 ◽  
Author(s):  
H. Naess ◽  
H. I. Nyland ◽  
L. Thomassen ◽  
J. Aarseth ◽  
K.-M. Myhr


Author(s):  
Mei-Huey Shiau ◽  
Meng-Chih Lee ◽  
Fang-Ling Lin ◽  
Baai-Shyun Hurng ◽  
Chih-Jung Yeh

This study examined the association between dietary patterns and the development of frailty during 4-, 8-, 12-year follow-up periods in the population-based Taiwan Study. We used the data of an elderly population aged 53 years and over (n = 3486) from four waves of the Taiwan Longitudinal Study on Aging. Frailty was identified by using the modified Fried criteria and the values were summed to derive a frailty score. We applied reduced rank regression to determine dietary patterns, which were divided into tertiles (healthy, general, and unhealthy dietary pattern). We used multinomial logistic regression models to assess the association between dietary patterns and the risk of frailty. The healthy dietary pattern was characterized by a higher intake of antioxidant drinks (tea), energy-rich foods (carbohydrates, e.g., rice, noodles), protein-rich foods (fish, meat, seafood, and eggs), and phytonutrient-rich foods (fruit and dark green vegetables). Compared with the healthy pattern, the unhealthy dietary pattern showed significant cross-sectional, short-term, medium-term, and long-term associations with a higher prevalence of frailty (odds ratios (OR) 2.74; 95% confidence interval (CI) 1.94–3.87, OR 2.55; 95% CI 1.67–3.88, OR 1.66; 95% CI 1.07–2.57, and OR 2.35; 95% CI 1.27–4.34, respectively). Our findings support recommendations to increase the intake of antioxidant drinks, energy-rich foods, protein-rich foods, and phytonutrient-rich foods, which were associated with a non-frail status. This healthy dietary pattern can help prevent frailty over time in elderly people.



PLoS ONE ◽  
2013 ◽  
Vol 8 (1) ◽  
pp. e52755 ◽  
Author(s):  
Hélène Amieva ◽  
Céline Meillon ◽  
Catherine Helmer ◽  
Pascale Barberger-Gateau ◽  
Jean François Dartigues


2015 ◽  
Vol 29 (18) ◽  
pp. 2924-2928 ◽  
Author(s):  
Inbal Sasson ◽  
Ofer Beharier ◽  
Ruslan Sergienko ◽  
Irit Szaingurten-Solodkin ◽  
Roy Kessous ◽  
...  




2018 ◽  
Vol 36 (15_suppl) ◽  
pp. 10014-10014 ◽  
Author(s):  
Dalia Kagramanov ◽  
Rinku Sutradhar ◽  
Zhan Yao ◽  
Sumit Gupta ◽  
Nancy N. Baxter ◽  
...  


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