16 research outputs found
Unravelling data for rapid evidence-based response to COVID-19: a summary of the unCoVer protocol
Introduction unCoVer - Unravelling data for rapid evidence-based response to COVID-19 - is a Horizon 2020-funded network of 29 partners from 18 countries capable of collecting and using real-world data (RWD) derived from the response and provision of care to patients with COVID-19 by health systems across Europe and elsewhere. unCoVer aims to exploit the full potential of this information to rapidly address clinical and epidemiological research questions arising from the evolving pandemic. Methods and analysis From the onset of the COVID-19 pandemic, partners are gathering RWD from electronic health records currently including information from over 22 000 hospitalised patients with COVID-19, and national surveillance and screening data, and registries with over 1 900 000 COVID-19 cases across Europe, with continuous updates. These heterogeneous datasets will be described, harmonised and integrated into a multi-user data repository operated through Opal-DataSHIELD, an interoperable open-source server application. Federated data analyses, without sharing or disclosing any individual-level data, will be performed with the objective to reveal patients' baseline characteristics, biomarkers, determinants of COVID-19 prognosis, safety and effectiveness of treatments, and potential strategies against COVID-19, as well as epidemiological patterns. These analyses will complement evidence from efficacy/safety clinical trials, where vulnerable, more complex/heterogeneous populations and those most at risk of severe COVID-19 are often excluded. Ethics and dissemination After strict ethical considerations, databases will be available through a federated data analysis platform that allows processing of available COVID-19 RWD without disclosing identification information to analysts and limiting output to data aggregates. Dissemination of unCoVer's activities will be related to the access and use of dissimilar RWD, as well as the results generated by the pooled analyses. Dissemination will include training and educational activities, scientific publications and conference communications.info:eu-repo/semantics/publishedVersio
Comparison of exercise-rest-reinjection Tl-201 imaging and rest sublingual isosorbide dinitrate Tc-99m MIBI imaging for the assessment of myocardial viability
WOS: 000267894600005PubMed ID: 19387770Nitrate administration has been proposed to enhance the detection of myocardial viability when performing myocardial perfusion imaging. In this study, we aimed to compare Tl-201 exercise-rest-reinjection protocol with rest isosorbide dinitrate (ISDN)-Tc99m MIBI study in the same population examined for the myocardial viability. Twenty-six patients with coronary artery disease who had fixed segmental defects on exercise-rest-Tl-201 imaging were studied. All of them underwent Tl-201 reinjection study. Within 1 week of Tl-201 imaging, rest-Tc99m MIBI imaging was performed after sublingual 5 mg ISDN administration (2-day protocol). For each study, tomograms were divided into 20 segments based on three short-axis slices, one vertical long-axis representing the totality of the left ventricle and regional tracer uptake was quantitatively analyzed. Regional tracer uptake was evaluated in 20 myocardial segments for all patients. Viability was defined as presence of tracer uptake a parts per thousand yen50% of peak activity on each study. A total 520 myocardial segments were assessed by semi quantitative analysis. On the baseline rest Tl-201 studies, 211 segments of the 520 segments that were analyzed had < 50% of peak activity. Of these segments, 42 (20%) showed reversibility after reinjection Tl-201 imaging and 55 segments (27%) described as viable on the rest ISDN-Tc99m MIBI imaging. There was 89% concordance between the ISDN-Tc99m MIBI study and Tl-201 reinjection study regarding viable myocardial segments. Of the 23 segments with discordant results, 18 were irreversible on Tl-201 reinjection study, but showed a parts per thousand yen50% uptake on ISDN-Tc99m MIBI. Observation of good agreement between Tl-201 reinjection and ISDN-Tc99m MIBI study studies led us to suggest the use of ISDN enhanced imaging in the evaluation of myocardial viability
Dutch citizens of Turkish origin who utilize healthcare services in Turkey: a qualitative study on motives and contextual factors
Background: Dutch residents of Turkish origin frequently utilize healthcare in Turkey.
Methods: To investigate their motives for doing so, we conducted a qualitative study among these healthcare users using semi-structured interviews. We complemented this with informal conversations with Turkish healthcare providers and observations at the registration offices and waiting rooms of outpatient clinics in several Turkish hospitals.
Results: Respondents believed their perceived needs for referral to specialist care and diagnostic assessments to quantify their health were not being met in the Netherlands.
Conclusions: These mismatches in expectations of what constitutes "good care" led to dissatisfaction with Dutch primary care. Consequently, respondents utilized healthcare in Turkey if the opportunity arose, and were encouraged in this by their social networks. Establishing cross-border communication between healthcare providers is necessary, because there is currently no continuity of care for cross-border patients
How useful is a name-based algorithm in health research among Turkish migrants in Germany?
Razum O, Zeeb H, Akgun S. How useful is a name-based algorithm in health research among Turkish migrants in Germany? TROPICAL MEDICINE & INTERNATIONAL HEALTH. 2001;6(8):654-661.Migrants often face particular social, economic and health disadvantages relative to the population of the host country. In order to adapt health services to the needs of migrants, health researchers need to identify differences in risk factor and disease profiles, as well as inequalities concerning treatment and prevention. Registries of health-related events could be employed for these purposes. In Germany, however, routine data bases often hold no, or inaccurate, information on the national origin of the cases registered. We developed an algorithm based on a large data set of Turkish family and first names (n = 15 000), with religion as additional criterion, to identify cases of Turkish origin in registries in a largely automatic search. We tested the performance of the algorithm in a population registry and in a cancer registry. The algorithm discriminates well against Greek and A-rab names, with 1% false positive matches in our study. It achieves a specificity of > 99.9% in delimiting Turkish from German cases in the cancer registry. The sensitivity can be increased to 85%, provided the small proportion of case records with uncertain origin can be assessed manually. The name algorithm can be useful for registry-based health research among Turkish migrants in Germany. Possible applications are e.g. in cancer registries to compare survival among German and Turkish cancer patients, or in health insurance registries to compare the relative importance of work-related degenerative diseases. In specific circumstances, the algorithm may also be useful in aetiological research
Post-discharge mortality in the first wave of COVID-19 in Turkey
© 2022 Asian Pacific Journal of Tropical Medicine.Objective: To determine post-discharge mortality and associated factors of the first-wave multicenter Turkish Thoracic Society (TTD)-TURCOVID study. Methods: In this retrospective cohort study, we analyzed the data of 18 of 26 centers included in the first TTD-TURCOVID study, and 1 112 cases diagnosed with COVID-19 between 11 March and 31 July 2020 participated in the study. All causes of death after COVID-19 discharge were recorded. Results: The mean age of the patients was (51.07±16.93) years, with 57.6% male patients. In the cohort group, 89.1% of COVID-19 treatment locations were hospital wards, 3.6% were intensive care units (ICUs), and 7.2% were community outpatients. In the longterm follow-up, the in-hospital mortality rate was 3.6% (95% CI 2.64.8), the post-discharge mortality rate was 2.8% (95% CI 1.9-3.9), and the total mortality was 6.3% (95% CI 5.0-7.8). After discharge, 63.3% of mortality overall occurred during the first six months. Mortality rates in post-discharge follow-ups were 12.7% (95% CI 8.0-30.6) in cancer patients, 10.8% (95% CI 6.3-22.9) in chronic obstructive pulmonary disease patients, 11.1% (95% CI 4.4-22.7) in heart failure patients, 7.8 (95% CI 3.8-14.3) in atherosclerotic heart disease patients, and 2.3% (95% CI 0.8-5.6) in diabetes mellitus patients. In smokers/ex-smokers, the all-mortality rates were higher than in non-smokers. Conclusions: This multicenter study showed that patients over 65 years of age, males, former/active smoker, ICU stay, lung, heart disease, and malignancy should be followed up for at least the first six months after discharge due to COVID-19
The association of antiviral drugs with COVID-19 morbidity: The retrospective analysis of a nationwide COVID-19 cohort
Copyright © 2022 Babayigit, Kokturk, Kul, Cetinkaya, Atis Nayci, Argun Baris, Karcioglu, Aysert, Irmak, Akbas Yuksel, Sekibag, Baydar Toprak, Azak, Mulamahmutoglu, Cuhadaroglu, Demirel, Kerget, Baran Ketencioglu, Ozger, Ozkan, Ture, Ergan, Avkan Oguz, Kilinc, Ercelik, Ulukavak Ciftci, Alici, Nurlu Temel, Ataoglu, Aydin, Cetiner Bahcetepe, Gullu, Fakili, Deveci, Kose, Tor, Gunluoglu, Altin, Turgut, Tuna, Ozturk, Dikensoy, Yildiz Gulhan, Basyigit, Boyaci, Oguzulgen, Borekci, Gemicioglu, Bayraktar, Elbek, Hanta, Kuzu Okur, Sagcan, Uzun, Akgun, Altinisik, Dursun, Cakir Edis, Gulhan, Oner Eyuboglu, Gultekin, Havlucu, Ozkan, Sakar Coskun, Sayiner, Kalyoncu, Itil and Bayram.Background and objectives: Although several repurposed antiviral drugs have been used for the treatment of COVID-19, only a few such as remdesivir and molnupiravir have shown promising effects. The objectives of our study were to investigate the association of repurposed antiviral drugs with COVID-19 morbidity. Methods: Patients admitted to 26 different hospitals located in 16 different provinces between March 11–July 18, 2020, were enrolled. Case definition was based on WHO criteria. Patients were managed according to the guidelines by Scientific Board of Ministry of Health of Turkey. Primary outcomes were length of hospitalization, intensive care unit (ICU) requirement, and intubation. Results: We retrospectively evaluated 1,472 COVID-19 adult patients; 57.1% were men (mean age = 51.9 ± 17.7years). A total of 210 (14.3%) had severe pneumonia, 115 (7.8%) were admitted to ICUs, and 69 (4.7%) were intubated during hospitalization. The median (interquartile range) of duration of hospitalization, including ICU admission, was 7 (5–12) days. Favipiravir (n = 328), lopinavir/ritonavir (n = 55), and oseltamivir (n = 761) were administered as antiviral agents, and hydroxychloroquine (HCQ, n = 1,382) and azithromycin (n = 738) were used for their immunomodulatory activity. Lopinavir/ritonavir (β [95% CI]: 4.71 [2.31–7.11]; p = 0.001), favipiravir (β [95% CI]: 3.55 [2.56–4.55]; p = 0.001) and HCQ (β [95% CI]: 0.84 [0.02–1.67]; p = 0.046) were associated with increased risk of lengthy hospital stays. Furthermore, favipiravir was associated with increased risks of ICU admission (OR [95% CI]: 3.02 [1.70–5.35]; p = 0.001) and invasive mechanical ventilation requirement (OR [95% CI]: 2.94 [1.28–6.75]; p = 0.011). Conclusion: Our findings demonstrated that antiviral drugs including lopinavir, ritonavir, and favipiravir were associated with negative clinical outcomes such as increased risks for lengthy hospital stay, ICU admission, and invasive mechanical ventilation requirement. Therefore, repurposing such agents without proven clinical evidence might not be the best approach for COVID-19 treatment