• 제목/요약/키워드: prospective cohort

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Persistent headache and chronic daily headache after COVID-19: a prospective cohort study

  • Larissa Clementino Leite Sa Carvalho;Priscila Aparecida da Silva;Pedro Augusto Sampaio Rocha-Filho
    • The Korean Journal of Pain
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    • 제37권3호
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    • pp.247-255
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    • 2024
  • Background: Little is known about the frequency and impact of the persistent headache and about the incidence of chronic daily headache (CDH) after coronavirus disease 2019 (COVID-19). The aim of this prospective cohort study was to assess the incidence, risk factors, characteristics, and impact of CDH in patients with COVID-19. Methods: In the first stage, 288 patients were interviewed by telephone after the acute phase of COVID-19. Subsequently, 199 patients who presented headache were reinterviewed at least one year after COVID-19. Headaches that persisted beyond the acute phase of COVID-19 for three or more months and presented frequency ≥ 45 days over the first three months were considered to be CDH. Results: One hundred and twenty-three patients were included, 56% were females; median age: 50 years (25th and 75th percentile: 41;58). The headache persisted beyond the acute phase of COVID-19 in 52%, and 20.3% had CDH (95% confidence interval: 13.6-28.2). Individuals who previously had headaches and who had headaches of greater intensity during the acute phase were at higher risk of developing CDH. The group with CDH included more females, greater impact of headache, more persistence of headache beyond the 120th day of COVID-19 and less throbbing headache than did the other individuals whose headache persisted. Conclusions: Patients who had COVID-19 had a high incidence of CDH. Previous headache and greater intensity of headache were associated with higher risk of CDH.

Study Design and Outcomes of Korean Obstructive Lung Disease (KOLD) Cohort Study

  • Park, Tai Sun;Lee, Jae Seung;Seo, Joon Beom;Hong, Yoonki;Yoo, Jung-Wan;Kang, Byung Ju;Lee, Sei Won;Oh, Yeon-Mok;Lee, Sang-Do
    • Tuberculosis and Respiratory Diseases
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    • 제76권4호
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    • pp.169-174
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    • 2014
  • Background: The Korean Obstructive Lung Disease (KOLD) Cohort Study is a prospective longitudinal study of patients with chronic obstructive pulmonary disease (COPD), asthma, or other unclassified obstructive lung diseases. It was designed to develop new classification models and biomarkers that predict clinically relevant outcomes for patients with obstructive lung diseases. Methods: Patients over 18 years old who have chronic respiratory symptoms and airflow limitations or bronchial hyper-responsiveness were enrolled at 17 centers in South Korea. After a baseline visit, the subjects were followed up every 3 months for various assessments. Results: From June 2005 to October 2013, a total of 477 subjects (433 [91%] males; 381 [80%] diagnosed with COPD) were enrolled. Analyses of the KOLD Cohort Study identified distinct phenotypes in patients with COPD, and predictors of therapeutic responses and exacerbations as well as the factors related to pulmonary hypertension in COPD. In addition, several genotypes were associated with radiological phenotypes and therapeutic responses among Korean COPD patients. Conclusion: The KOLD Cohort Study is one of the leading long-term prospective longitudinal studies investigating heterogeneity of the COPD and is expected to provide new insights for pathogenesis and the long-term progression of COPD.

The Korean Gastric Cancer Cohort Study: Study Protocol and Brief Results of a Large-Scale Prospective Cohort Study

  • Eom, Bang Wool;Kim, Young-Woo;Nam, Byung-Ho;Ryu, Keun Won;Jeong, Hyun-Yong;Park, Young-Kyu;Lee, Young-Joon;Yang, Han-Kwang;Yu, Wansik;Yook, Jeong-Hwan;Song, Geun Am;Youn, Sei-Jin;Kim, Heung Up;Noh, Sung-Hoon;Park, Sung Bae;Yang, Doo-Hyun;Kim, Sung
    • Journal of Gastric Cancer
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    • 제16권3호
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    • pp.182-190
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    • 2016
  • Purpose: This study aimed to establish a large-scale database of patients with gastric cancer to facilitate the development of a nationalcancer management system and a comprehensive cancer control policy. Materials and Methods: An observational prospective cohort study on gastric cancer was initiated in 2010. A total of 14 cancer centers throughout the country and 152 researchers were involved in this study. Patient enrollment began in January 2011, and data regarding clinicopathological characteristics, life style-related factors, quality of life, as well as diet diaries were collected. Results: In total, 4,963 patients were enrolled until December 2014, and approximately 5% of all Korean patients with gastric cancer annually were included. The mean age was $58.2{\pm}11.5$ years, and 68.2% were men. The number of patients in each stage was as follows: 3,394 patients (68.4%) were in stage IA/B; 514 patients (10.4%), in stage IIA/B; 469 patients (9.5%), in stage IIIA/B/C; and 127 patients (2.6%), in stage IV. Surgical treatment was performed in 3,958 patients (79.8%), endoscopic resection was performed in 700 patients (14.1%), and 167 patients (3.4%) received palliative chemotherapy. The response rate for the questionnaire on the quality of life was 95%; however, diet diaries were only collected for 27% of patients. Conclusions: To provide comprehensive information on gastric cancer for patients, physicians, and government officials, a large-scale database of Korean patients with gastric cancer was established. Based on the findings of this cohort study, an effective cancer management system and national cancer control policy could be developed.

Association Between Green Tea Consumption and Lung Cancer Risk

  • Lee, Andy H.;Liang, Wenbin;Hirayama, Fumi;Binns, Colin W.
    • Journal of Preventive Medicine and Public Health
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    • 제43권4호
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    • pp.366-367
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    • 2010
  • Green tea is a popular beverage and its health benefits are well known. However, inconsistent results have been reported in observational studies concerning the association between green tea consumption and the lung cancer risk. In this commentary, several methodological issues underlying the measurement of tea exposure are highlighted. The recommendations should be useful for designing and planning prospective cohort studies to ascertain the protective effect of green tea against lung cancer.

Reproductive Risk Factors for Thyroid Cancer: A Prospective Cohort Study in Khon Kaen, Thailand

  • Sungwalee, Wararat;Vatanasapt, Patravoot;Kamsa-ard, Siriporn;Suwanrungruang, Krittika;Promthet, Supannee
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권9호
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    • pp.5153-5155
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    • 2013
  • Background: Because of the gender disparity in the incidence of thyroid cancer, this study aimed to determine the association between reproductive factors and thyroid cancer. Methods: A total of 10,767 eligible women from the Khon Kaen Cohort, recruited and interviewed between 1990 and 2001, were followed up until 2011. The data were linked to the Khon Kaen Population-Based Cancer Registry to detect thyroid cancer cases. Results: There was 17 thyroid cancer cases detected, an incidence of 11.2 per 100,000 person-years, of which 70.6 % were papillary tumors. The incidence was apparently greater among those with an early age of menarche, nulligravida women, and oral contraceptive users. Conlusions: There was a trend for thyroid cancer to develop in relation to longer estrogen exposure. This evidence is inconclusive but warrants further investigation.

동물(젖소) 건강 Monitoring System 모델 개발 II. 동적인 모집단(젖소)의 질병 발생빈도 예측 측정 방법에 대하여 (Development of a Model for a National Animal Health Monitoring System in Gyeongnam II. Methodological Issues in the Estimation of Frequencies of Disease in a Prospective Study of Multiple Dynamic Population)

  • 김종수;김용환;이효종;김곤섭;김충희;박정희;하대식;최민철
    • 한국임상수의학회지
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    • 제16권2호
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    • pp.422-427
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    • 1999
  • We are proposed for the computation of disease frequency measures and of their associated variances from data collected through prospective study of multiple dynamic cohort (herds) with a National Animal Health Monitoring System (NAHMS) in Gyeongnam. We can be estimated and calculated the annual incidence density for a group of herds and the 1-month risk of disease from the same within herd measure of monthly incidence density. We are proposed that the choice of measure to be estimated depend on the intended use of the information. From results in this study, Our study demonstrate that risk estimates are appropriates for producers and clinic veterinarian making decisions at the animal or herd level. Incidence density measures are appropriate for extrapolation to reference populations used for state and regional-level decision making.

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원전 코호트 연구의 적정 대상규모와 검정력 추정 (Power Estimation and Follow-Up Period Evaluation in Korea Radiation Effect and Epidemiology Cohort Study)

  • 조인성;송민교;최윤희;이충민;안윤옥
    • Journal of Preventive Medicine and Public Health
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    • 제43권6호
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    • pp.543-548
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    • 2010
  • Objectives: The objective of this study was to calculate sample size and power in an ongoing cohort, Korea radiation effect and epidemiology cohort (KREEC). Method: Sample size calculation was performed using PASS 2002 based on Cox regression and Poisson regression models. Person-year was calculated by using data from '1993-1997 Total cancer incidence by sex and age, Seoul' and Korean statistical informative service. Results: With the assumption of relative risk=1.3, exposure:non-exposure=1:2 and power=0.8, sample size calculation was 405 events based on a Cox regression model. When the relative risk was assumed to be 1.5 then number of events was 170. Based on a Poisson regression model, relative risk=1.3, exposure:non-exposure=1:2 and power=0.8 rendered 385 events. Relative risk of 1.5 resulted in a total of 157 events. We calculated person-years (PY) with event numbers and cancer incidence rate in the nonexposure group. Based on a Cox regression model, with relative risk=1.3, exposure:non-exposure=1:2 and power=0.8, 136 245PY was needed to secure the power. In a Poisson regression model, with relative risk=1.3, exposure:non-exposure=1:2 and power=0.8, person-year needed was 129517PY. A total of 1939 cases were identified in KREEC until December 2007. Conclusions: A retrospective power calculation in an ongoing study might be biased by the data. Prospective power calculation should be carried out based on various assumptions prior to the study.