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  1. Article ; Online: Pattern and prevalence of tooth loss in health workers

    Niloufar Taherpour / Hamid Soori / Soheila Bakhshandeh

    Payesh, Vol 19, Iss 1, Pp 99-

    Preliminary results of the Staff Health Cohort

    2020  Volume 108

    Abstract: Objective (s): This study aimed to investigate the pattern, prevalence, behavioral and socio-economic factors that relate to tooth loss among Shahid-Beheshti University of Medical Sciences employees. Methods: The data used for this was derived from a ... ...

    Abstract Objective (s): This study aimed to investigate the pattern, prevalence, behavioral and socio-economic factors that relate to tooth loss among Shahid-Beheshti University of Medical Sciences employees. Methods: The data used for this was derived from a cohort study of Shahid-Beheshti University of Medical Sciences employees. The study was assessed tooth loss among 1381 participants using ordinal regression modeling . Additionally data from self-administered questionnaire were used. Results: Prevalence of tooth loss and edentulous in both genders was 68.1% and 1.8% respectively. In general tooth loss among women were lower than men (P<0.05). According to adjusted ordinal regression model, smoking (OR=3.12-CI: 1.03-9.44), age (OR=1.10-CI: 1.07-1.12), use of toothbrush (OR=0.42-CI: 0.23-0.76), tooth floss (OR=0.64-CI: 0.46-0.90), gender (OR for female gender =0.61-CI: 0.43-0.86) and socio-economic status (OR=0.77-CI: 0.65-0.91) significantly were associated with tooth loss. Conclusion: Health workers had a relatively high prevalence of tooth loss, despite being employed in a health sector (medical university), and expected to have relatively better knowledge of oral health and better access to the oral health services
    Keywords oral health ; tooth loss ; employees ; Medicine ; R ; Medicine (General) ; R5-920
    Subject code 360
    Language Persian
    Publishing date 2020-02-01T00:00:00Z
    Publisher Iranian Institute for Health Sciences Research
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Development of a scoring system for the prediction of in-hospital mortality among COVID-19 patients

    Mohammad Haji Aghajani / Mohammad Sistanizad / Asma Pourhoseingholi / Ziba Asadpoordezaki / Niloufar Taherpour

    Clinical Epidemiology and Global Health, Vol 12, Iss , Pp 100871- (2021)

    2021  

    Abstract: Background: The aim of this study is to develop and validate a scoring system as a tool for predicting the in-hospital mortality in COVID-19 patients in early stage of disease. Methods: This retrospective cohort study, conducted on 893 COVID-19 patients ... ...

    Abstract Background: The aim of this study is to develop and validate a scoring system as a tool for predicting the in-hospital mortality in COVID-19 patients in early stage of disease. Methods: This retrospective cohort study, conducted on 893 COVID-19 patients in Tehran from February 18 to July 20, 2020. Potential factors were chosen via stepwise selection and multivariable logistic regression model. Cross-validation method was employed to assess the predictive performance of the model as well as the scoring system such as discrimination, calibration, and validity indices. Results: The COVID-19 patients’ median age was 63 yrs (54.98% male) and 233 (26.09%) patients expired during the study. The scoring system was developed based on 8 selected variables: age ≥55 yrs (OR = 5.67, 95% CI: 3.25–9.91), males (OR = 1.51, 95% CI: 1.007–2.29), ICU need (OR = 16.32, 95% CI 10.13–26.28), pulse rate >90 (OR = 1.89, 95% CI: 1.26–2.83), lymphocytes <17% (OR = 2.33, 95%CI: 1.54–3.50), RBC ≤4, 10 6/L (OR = 2.10, 95% CI: 1.35–3.26), LDH >700 U/L (OR = 1.68, 95%CI: 1.13–2.51) and troponin I level >0.03 ng/mL (OR = 1.75, 95%CI: 1.17–2.62). The AUC and the accuracy of scoring system after cross-validation were 79.4% and 79.89%, respectively. Conclusion: This study showed that developed scoring system has a good performance and can use to help physicians for identifying high-risk patients in early stage of disease.
    Keywords COVID-19 ; In-hospital mortality ; Clinical prediction model ; Scoring system ; Public aspects of medicine ; RA1-1270
    Language English
    Publishing date 2021-10-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Epidemiological and Clinical Aspects of COVID-19; a Narrative Review

    Goodarz Kolifarhood / Mohammad Aghaali / Hossein Mozafar Saadati / Niloufar Taherpour / Sajjad Rahimi / Neda Izadi / Seyed Saeed Hashemi Nazari

    Archives of Academic Emergency Medicine, Vol 8, Iss

    2020  Volume 1

    Abstract: There are significant misconceptions and many obstacles in the way of illuminating the epidemiological and clinical aspects of COVID-19 as a new emerging epidemic. In addition, usefulness of some evidence published in the context of the recent epidemic ... ...

    Abstract There are significant misconceptions and many obstacles in the way of illuminating the epidemiological and clinical aspects of COVID-19 as a new emerging epidemic. In addition, usefulness of some evidence published in the context of the recent epidemic for decision making in clinic as well as public health is questionable. However, misinterpreting or ignoring strong evidence in clinical practice and public health probably results in less effective and somehow more harmful decisions for individuals as well as subgroups in general populations of countries in the initial stages of this epidemic. Accordingly, our narrative review appraised epidemiological and clinical aspects of the disease including genetic diversity of coronavirus genus, mode of transmission, incubation period, infectivity, pathogenicity, virulence, immunogenicity, diagnosis, surveillance, clinical case management and also successful measures for preventing its spread in some communities.
    Keywords COVID-19 ; severe acute respiratory syndrome coronavirus 2 ; epidemiology ; public health ; communicable diseases ; emerging ; Medical emergencies. Critical care. Intensive care. First aid ; RC86-88.9 ; covid19
    Subject code 610
    Language English
    Publishing date 2020-04-01T00:00:00Z
    Publisher Shahid Beheshti University of Medical Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Evaluating the association between neonatal mortality and maternal high blood pressure, heart disease and gestational diabetes

    Tannaz Valadbeigi / Ali ArabAhmadi / Naghi Dara / Saleheh Tajalli / Amirhossein Hosseini / Koorosh Etemad / Fatemeh Zolfizadeh / Negar Piri / Mohammad Afkar / Niloufar Taherpour / Aliakbar Sayyari / Farid Imanzadeh / Mahmoud Hajipour

    Journal of Research in Medical Sciences, Vol 25, Iss 1, Pp 23-

    A case control study

    2020  Volume 23

    Abstract: Background: Prevention of noncommunicable diseases (NCDs) during pregnancy is recommended due to severe complications for mothers and infants. Considering that NCDs have a significant impact on infant mortality, this study was conducted to investigate ... ...

    Abstract Background: Prevention of noncommunicable diseases (NCDs) during pregnancy is recommended due to severe complications for mothers and infants. Considering that NCDs have a significant impact on infant mortality, this study was conducted to investigate the relationship between mothers' underlying diseases and gestational diabetes and infant mortality in Iran. Materials and Methods: Mothers who referred to the health centers in nine provinces of Iran were included. This case–control study used data collected from pregnant women. There were 1162 cases and 1624 controls. The required data were collected from mothers' health records and through interviews. Results: The chances of neonatal mortality in women with a body mass index (BMI) of 30–35, 1.7 times (odds ratio [OR] = 1.7, confidence interval [CI]: 1.19–2.44, P= 0.003) was higher compared with women with a normal BMI. The chance of neonatal mortality among mothers with high blood pressure was three times higher compared with healthy mothers (OR = 3.04, 95% CI: 1.98–4.65, P < 0.001). The chance of neonatal mortality in women with kidney disease was also 1.64 times higher than mothers without kidney problems (OR = 1.64, 95% CI: 1.1–2.45, P= 0.015). In the study of gestational diabetes, the chance of neonatal mortality among the mothers who had at risk was 1.63 times higher than mothers without gestational diabetes (OR = 1.63, 95% CI: 0.84–3.16, P= 0.014). Furthermore, the chance of neonatal mortality among the mothers who had heart disease was 1.10 times higher than mothers without heart disease (OR = 2.10, 95% CI: 0.88–4.99, P= 0.014). Conclusion: This study showed that undiagnosed underlying diseases were related to neonatal mortality, which highlights the importance of caring for and counseling about the underlying diseases, screening, and controlling blood sugar levels before and during pregnancy to prevent infant mortality by all means possible.
    Keywords gestational diabetes ; high blood pressure (hypertension) ; kidney disease ; neonatal mortality ; Medicine ; R
    Subject code 610
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Wolters Kluwer Medknow Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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