1.Investigations of clinical characteristics and inflammatory markers of febrile seizures induced by coronavirus infection
Zhao, L. ; Wu, H.Y. ; Xie, D. ; Mo, L.M. ; Yang, F.F. ; Gao, Y. ; Zhao, X.L. ; He, Y.Z.
Tropical Biomedicine 2023;40(No.4):439-443
The study of children who experienced with febrile seizures(FS) as a result of COVID-19 infection to gain
insight into the clinical characteristics and prognosis of neurological damage, with the aim of improving
prevention, diagnosis, and the treatment of neurological complications. This study investigated the
clinical features of 53 children with FS who were admitted to Sanya Women and Children’s Hospital
from December 1, 2022, to January 31, 2023. The results indicated that the duration of convulsion in
the case and control group was 7.90±8.91 and 2.67±1.23 (minutes) respectively. The analysis reveals
that convulsions occurred within 24 hours in 39 cases (95.12%) of the case group, and in 8 cases
(66.7%) of the control group. The difference was statistically significant (P<0.05). Additionally, the case
group presented lower counts of WBC and NEU compared to the control group (p<0.05). The findings
indicate that convulsions manifest at earlier stages of COVID-19 in children and the last longer than
in the control group. It is therefore crucial for healthcare workers to remain attentive to patients with
COVID-19 who report fever within 24 hours, and act promptly to implement preventive measures,
particularly in cases of prolonged fever. It is essential to integrate the clinical manifestation, particularly
convulsions, and the continuous numerical changes of inflammatory factors to assess COVID-19 linked
with febrile seizures. In addition, larger-scale multi-center and systematic research are necessary to
aid clinicians in monitoring neuropathological signals and biological targets, enabling more equitable
diagnosis and treatment plans.
2.Application and evaluation of artificial intelligence TPS-assisted cytologic screening system in urine exfoliative cytology.
L ZHU ; M L JIN ; S R HE ; H M XU ; J W HUANG ; L F KONG ; D H LI ; J X HU ; X Y WANG ; Y W JIN ; H HE ; X Y WANG ; Y Y SONG ; X Q WANG ; Z M YANG ; A X HU
Chinese Journal of Pathology 2023;52(12):1223-1229
Objective: To explore the application of manual screening collaborated with the Artificial Intelligence TPS-Assisted Cytologic Screening System in urinary exfoliative cytology and its clinical values. Methods: A total of 3 033 urine exfoliated cytology samples were collected at the Henan People's Hospital, Capital Medical University, Beijing, China. Liquid-based thin-layer cytology was prepared. The slides were manually read under the microscope and digitally presented using a scanner. The intelligent identification and analysis were carried out using an artificial intelligence TPS assisted screening system. The Paris Report Classification System of Urinary Exfoliated Cytology 2022 was used as the evaluation standard. Atypical urothelial cells and even higher grade lesions were considered as positive when evaluating the recognition sensitivity, specificity, and diagnostic accuracy of artificial intelligence-assisted screening systems and human-machine collaborative cytologic screening methods in urine exfoliative cytology. Among the collected cases, there were also 1 100 pathological tissue controls. Results: The accuracy, sensitivity and specificity of the AI-assisted cytologic screening system were 77.18%, 90.79% and 69.49%; those of human-machine coordination method were 92.89%, 99.63% and 89.09%, respectively. Compared with the histopathological results, the accuracy, sensitivity and specificity of manual reading were 79.82%, 74.20% and 95.80%, respectively, while those of AI-assisted cytologic screening system were 93.45%, 93.73% and 92.66%, respectively. The accuracy, sensitivity and specificity of human-machine coordination method were 95.36%, 95.21% and 95.80%, respectively. Both cytological and histological controls showed that human-machine coordination review method had higher diagnostic accuracy and sensitivity, and lower false negative rates. Conclusions: The artificial intelligence TPS assisted cytologic screening system has achieved acceptable accuracy in urine exfoliation cytologic screening. The combination of manual screening and artificial intelligence TPS assisted screening system can effectively improve the sensitivity and accuracy of cytologic screening and reduce the risk of misdiagnosis.
Humans
;
Artificial Intelligence
;
Urothelium/pathology*
;
Cytodiagnosis
;
Epithelial Cells/pathology*
;
Sensitivity and Specificity
;
Urologic Neoplasms/urine*
3.Global Impact of the COVID-19 Pandemic on Cerebral Venous Thrombosis and Mortality
Thanh N. NGUYEN ; Muhammad M. QURESHI ; Piers KLEIN ; Hiroshi YAMAGAMI ; Mohamad ABDALKADER ; Robert MIKULIK ; Anvitha SATHYA ; Ossama Yassin MANSOUR ; Anna CZLONKOWSKA ; Hannah LO ; Thalia S. FIELD ; Andreas CHARIDIMOU ; Soma BANERJEE ; Shadi YAGHI ; James E. SIEGLER ; Petra SEDOVA ; Joseph KWAN ; Diana Aguiar DE SOUSA ; Jelle DEMEESTERE ; Violiza INOA ; Setareh Salehi OMRAN ; Liqun ZHANG ; Patrik MICHEL ; Davide STRAMBO ; João Pedro MARTO ; Raul G. NOGUEIRA ; ; Espen Saxhaug KRISTOFFERSEN ; Georgios TSIVGOULIS ; Virginia Pujol LEREIS ; Alice MA ; Christian ENZINGER ; Thomas GATTRINGER ; Aminur RAHMAN ; Thomas BONNET ; Noémie LIGOT ; Sylvie DE RAEDT ; Robin LEMMENS ; Peter VANACKER ; Fenne VANDERVORST ; Adriana Bastos CONFORTO ; Raquel C.T. HIDALGO ; Daissy Liliana MORA CUERVO ; Luciana DE OLIVEIRA NEVES ; Isabelle LAMEIRINHAS DA SILVA ; Rodrigo Targa MARTÍNS ; Letícia C. REBELLO ; Igor Bessa SANTIAGO ; Teodora SADELAROVA ; Rosen KALPACHKI ; Filip ALEXIEV ; Elena Adela CORA ; Michael E. KELLY ; Lissa PEELING ; Aleksandra PIKULA ; Hui-Sheng CHEN ; Yimin CHEN ; Shuiquan YANG ; Marina ROJE BEDEKOVIC ; Martin ČABAL ; Dusan TENORA ; Petr FIBRICH ; Pavel DUŠEK ; Helena HLAVÁČOVÁ ; Emanuela HRABANOVSKA ; Lubomír JURÁK ; Jana KADLČÍKOVÁ ; Igor KARPOWICZ ; Lukáš KLEČKA ; Martin KOVÁŘ ; Jiří NEUMANN ; Hana PALOUŠKOVÁ ; Martin REISER ; Vladimir ROHAN ; Libor ŠIMŮNEK ; Ondreij SKODA ; Miroslav ŠKORŇA ; Martin ŠRÁMEK ; Nicolas DRENCK ; Khalid SOBH ; Emilie LESAINE ; Candice SABBEN ; Peggy REINER ; Francois ROUANET ; Daniel STRBIAN ; Stefan BOSKAMP ; Joshua MBROH ; Simon NAGEL ; Michael ROSENKRANZ ; Sven POLI ; Götz THOMALLA ; Theodoros KARAPANAYIOTIDES ; Ioanna KOUTROULOU ; Odysseas KARGIOTIS ; Lina PALAIODIMOU ; José Dominguo BARRIENTOS GUERRA ; Vikram HUDED ; Shashank NAGENDRA ; Chintan PRAJAPATI ; P.N. SYLAJA ; Achmad Firdaus SANI ; Abdoreza GHOREISHI ; Mehdi FARHOUDI ; Elyar SADEGHI HOKMABADI ; Mazyar HASHEMILAR ; Sergiu Ionut SABETAY ; Fadi RAHAL ; Maurizio ACAMPA ; Alessandro ADAMI ; Marco LONGONI ; Raffaele ORNELLO ; Leonardo RENIERI ; Michele ROMOLI ; Simona SACCO ; Andrea SALMAGGI ; Davide SANGALLI ; Andrea ZINI ; Kenichiro SAKAI ; Hiroki FUKUDA ; Kyohei FUJITA ; Hirotoshi IMAMURA ; Miyake KOSUKE ; Manabu SAKAGUCHI ; Kazutaka SONODA ; Yuji MATSUMARU ; Nobuyuki OHARA ; Seigo SHINDO ; Yohei TAKENOBU ; Takeshi YOSHIMOTO ; Kazunori TOYODA ; Takeshi UWATOKO ; Nobuyuki SAKAI ; Nobuaki YAMAMOTO ; Ryoo YAMAMOTO ; Yukako YAZAWA ; Yuri SUGIURA ; Jang-Hyun BAEK ; Si Baek LEE ; Kwon-Duk SEO ; Sung-Il SOHN ; Jin Soo LEE ; Anita Ante ARSOVSKA ; Chan Yong CHIEH ; Wan Asyraf WAN ZAIDI ; Wan Nur Nafisah WAN YAHYA ; Fernando GONGORA-RIVERA ; Manuel MARTINEZ-MARINO ; Adrian INFANTE-VALENZUELA ; Diederik DIPPEL ; Dianne H.K. VAN DAM-NOLEN ; Teddy Y. WU ; Martin PUNTER ; Tajudeen Temitayo ADEBAYO ; Abiodun H. BELLO ; Taofiki Ajao SUNMONU ; Kolawole Wasiu WAHAB ; Antje SUNDSETH ; Amal M. AL HASHMI ; Saima AHMAD ; Umair RASHID ; Liliana RODRIGUEZ-KADOTA ; Miguel Ángel VENCES ; Patrick Matic YALUNG ; Jon Stewart Hao DY ; Waldemar BROLA ; Aleksander DĘBIEC ; Malgorzata DOROBEK ; Michal Adam KARLINSKI ; Beata M. LABUZ-ROSZAK ; Anetta LASEK-BAL ; Halina SIENKIEWICZ-JAROSZ ; Jacek STASZEWSKI ; Piotr SOBOLEWSKI ; Marcin WIĄCEK ; Justyna ZIELINSKA-TUREK ; André Pinho ARAÚJO ; Mariana ROCHA ; Pedro CASTRO ; Patricia FERREIRA ; Ana Paiva NUNES ; Luísa FONSECA ; Teresa PINHO E MELO ; Miguel RODRIGUES ; M Luis SILVA ; Bogdan CIOPLEIAS ; Adela DIMITRIADE ; Cristian FALUP-PECURARIU ; May Adel HAMID ; Narayanaswamy VENKETASUBRAMANIAN ; Georgi KRASTEV ; Jozef HARING ; Oscar AYO-MARTIN ; Francisco HERNANDEZ-FERNANDEZ ; Jordi BLASCO ; Alejandro RODRÍGUEZ-VÁZQUEZ ; Antonio CRUZ-CULEBRAS ; Francisco MONICHE ; Joan MONTANER ; Soledad PEREZ-SANCHEZ ; María Jesús GARCÍA SÁNCHEZ ; Marta GUILLÁN RODRÍGUEZ ; Gianmarco BERNAVA ; Manuel BOLOGNESE ; Emmanuel CARRERA ; Anchalee CHUROJANA ; Ozlem AYKAC ; Atilla Özcan ÖZDEMIR ; Arsida BAJRAMI ; Songul SENADIM ; Syed I. HUSSAIN ; Seby JOHN ; Kailash KRISHNAN ; Robert LENTHALL ; Kaiz S. ASIF ; Kristine BELOW ; Jose BILLER ; Michael CHEN ; Alex CHEBL ; Marco COLASURDO ; Alexandra CZAP ; Adam H. DE HAVENON ; Sushrut DHARMADHIKARI ; Clifford J. ESKEY ; Mudassir FAROOQUI ; Steven K. FESKE ; Nitin GOYAL ; Kasey B. GRIMMETT ; Amy K. GUZIK ; Diogo C. HAUSSEN ; Majesta HOVINGH ; Dinesh JILLELA ; Peter T. KAN ; Rakesh KHATRI ; Naim N. KHOURY ; Nicole L. KILEY ; Murali K. KOLIKONDA ; Stephanie LARA ; Grace LI ; Italo LINFANTE ; Aaron I. LOOCHTAN ; Carlos D. LOPEZ ; Sarah LYCAN ; Shailesh S. MALE ; Fadi NAHAB ; Laith MAALI ; Hesham E. MASOUD ; Jiangyong MIN ; Santiago ORGETA-GUTIERREZ ; Ghada A. MOHAMED ; Mahmoud MOHAMMADEN ; Krishna NALLEBALLE ; Yazan RADAIDEH ; Pankajavalli RAMAKRISHNAN ; Bliss RAYO-TARANTO ; Diana M. ROJAS-SOTO ; Sean RULAND ; Alexis N. SIMPKINS ; Sunil A. SHETH ; Amy K. STAROSCIAK ; Nicholas E. TARLOV ; Robert A. TAYLOR ; Barbara VOETSCH ; Linda ZHANG ; Hai Quang DUONG ; Viet-Phuong DAO ; Huynh Vu LE ; Thong Nhu PHAM ; Mai Duy TON ; Anh Duc TRAN ; Osama O. ZAIDAT ; Paolo MACHI ; Elisabeth DIRREN ; Claudio RODRÍGUEZ FERNÁNDEZ ; Jorge ESCARTÍN LÓPEZ ; Jose Carlos FERNÁNDEZ FERRO ; Niloofar MOHAMMADZADEH ; Neil C. SURYADEVARA, MD ; Beatriz DE LA CRUZ FERNÁNDEZ ; Filipe BESSA ; Nina JANCAR ; Megan BRADY ; Dawn SCOZZARI
Journal of Stroke 2022;24(2):256-265
Background:
and Purpose Recent studies suggested an increased incidence of cerebral venous thrombosis (CVT) during the coronavirus disease 2019 (COVID-19) pandemic. We evaluated the volume of CVT hospitalization and in-hospital mortality during the 1st year of the COVID-19 pandemic compared to the preceding year.
Methods:
We conducted a cross-sectional retrospective study of 171 stroke centers from 49 countries. We recorded COVID-19 admission volumes, CVT hospitalization, and CVT in-hospital mortality from January 1, 2019, to May 31, 2021. CVT diagnoses were identified by International Classification of Disease-10 (ICD-10) codes or stroke databases. We additionally sought to compare the same metrics in the first 5 months of 2021 compared to the corresponding months in 2019 and 2020 (ClinicalTrials.gov Identifier: NCT04934020).
Results:
There were 2,313 CVT admissions across the 1-year pre-pandemic (2019) and pandemic year (2020); no differences in CVT volume or CVT mortality were observed. During the first 5 months of 2021, there was an increase in CVT volumes compared to 2019 (27.5%; 95% confidence interval [CI], 24.2 to 32.0; P<0.0001) and 2020 (41.4%; 95% CI, 37.0 to 46.0; P<0.0001). A COVID-19 diagnosis was present in 7.6% (132/1,738) of CVT hospitalizations. CVT was present in 0.04% (103/292,080) of COVID-19 hospitalizations. During the first pandemic year, CVT mortality was higher in patients who were COVID positive compared to COVID negative patients (8/53 [15.0%] vs. 41/910 [4.5%], P=0.004). There was an increase in CVT mortality during the first 5 months of pandemic years 2020 and 2021 compared to the first 5 months of the pre-pandemic year 2019 (2019 vs. 2020: 2.26% vs. 4.74%, P=0.05; 2019 vs. 2021: 2.26% vs. 4.99%, P=0.03). In the first 5 months of 2021, there were 26 cases of vaccine-induced immune thrombotic thrombocytopenia (VITT), resulting in six deaths.
Conclusions
During the 1st year of the COVID-19 pandemic, CVT hospitalization volume and CVT in-hospital mortality did not change compared to the prior year. COVID-19 diagnosis was associated with higher CVT in-hospital mortality. During the first 5 months of 2021, there was an increase in CVT hospitalization volume and increase in CVT-related mortality, partially attributable to VITT.
4.Etiology and clinical classification of constipation.
X L ZENG ; X D YANG ; T YANG ; X L HUANG ; S LIU
Chinese Journal of Gastrointestinal Surgery 2022;25(12):1120-1125
The causes of constipation are extremely complex and are still not fully clear. In addition to secondary factors such as organic diseases and drugs, constipation may also be related to genetics, diet, intestinal flora, age, gender and so on. At present, according to the etiology, chronic constipation is divided into primary constipation and secondary constipation. However, there are significant differences among current clinical guidelines in the clinical classification of primary constipation. Some guidelines classify primary constipation as slow-transit constipation (STC), outlet obstruction constipation (OOC), and mixed constipation; however, some guidelines classify primary constipation as STC, defecation disorder (DD), mixed constipation, and normal-transit constipation (NTC); what's more, some even propose types which are different from the above sub-types. There are also differences in the understanding of the relationship between functional constipation (FC) and primary constipation and the classification of irritable bowel syndrome predominant constipation (IBS-C) among various clinical guidelines. By reviewing domestic and international guidelines and relevant literature on constipation, the following conclusions are drawn: primary constipation can be divided into IBS-C and FC, and FC can be further divided into STC, OOC, and mixed constipation; primary constipation should not be confused with FC, nor should IBS-C be classified as FC.
Humans
;
Irritable Bowel Syndrome/complications*
;
Constipation/etiology*
;
Gastrointestinal Transit
5.Advances in recurrence risk assessment of gastrointestinal stromal tumor.
Chinese Journal of Gastrointestinal Surgery 2022;25(12):1138-1143
Identification of prognosis-related risk factors and accurate assessment of risk stratification in patients with gastrointestinal stromal tumor (GIST) is of great significance not only for establishing a reliable prognostic model and developing a follow-up plan but also for selecting potential populations benefiting from neoadjuvant therapies. Although several risk stratification models have been established, it is still challenging to accurately assess patients' risk of recurrence, and the performance of these prediction models still needs to be improved. This review focused on the latest studies in recurrence risk assessment for GIST patients, and summarized potential predictive markers and recurrence risk models related to tumor-related characteristic parameters, novel laboratory examinations, radiological imaging signatures and molecular pathological features, which could provide a reference for accurate risk stratification and individualized targeted therapies for GIST patients.
Humans
;
Gastrointestinal Stromal Tumors/surgery*
;
Risk Assessment
;
Prognosis
;
Risk Factors
;
Neoplasm Recurrence, Local
;
Retrospective Studies
7.Bisphosphonate Use Does Not Impact Survival in Patients with Pancreatic Cancer: A Propensity Score Matching Analysis
Haley M. ZYLBERBERG ; Sheila D. RUSTGI ; Anthony YANG ; Anne ARONSON ; Elizabeth KESSEL ; Sunil AMIN ; Aimee L. LUCAS
Gut and Liver 2021;15(5):782-790
Background/Aims:
Bisphosphonates are increasingly recognized for their anti-neoplastic properties, which are the result of their action on the mevalonate pathway. Our primary aim was to investigate the association between bisphosphonate use and survival in patients with pancreatic cancer. Since statins also act on the mevalonate pathway, we also investigated the effect of the combined use of bisphosphonates and statins on survival.
Methods:
The Surveillance, Epidemiology, and End Results registry (SEER)-Medicare linked database was used to identify patients with pancreatic ductal adenocarcinoma (PDAC) between 2007 and 2015. Kaplan-Meier models were used to examine the association between survival with bisphosphonate use alone and in combination with statins within 1 year prior to the diagnosis of PDAC. Propensity score matching analysis and Cox-proportional hazard models were used to determine the association between overall survival with bisphosphonate use alone and combined with statins, after adjusting for relevant confounders, such as the Charlson comorbidity index score, stage, treatment, sociodemographic characteristics, and propensity score.
Results:
In total, 13,639 patients with PDAC were identified, and 1,203 (8.82%) used bisphosphonates. There was no difference in the mean survival duration between bisphosphonate users (7.27 months) and nonusers (7.25 months, p=0.61). After adjustment for confounders, bisphosphonate use was still not associated with improved survival (hazard ratio, 1.00; 95% confidence interval, 0.93 to 1.08; p=0.96). Combined bisphosphonate and statin use was also not associated with improved survival (hazard ratio, 0.97; 95% confidence interval, 0.87 to 1.07; p=0.48) after adjustment for confounders.
Conclusions
Our findings suggest that the use of bisphosphonates, whether alone or in combination with statins, does not confer a survival advantage in patients with PDAC.
8.Bisphosphonate Use Does Not Impact Survival in Patients with Pancreatic Cancer: A Propensity Score Matching Analysis
Haley M. ZYLBERBERG ; Sheila D. RUSTGI ; Anthony YANG ; Anne ARONSON ; Elizabeth KESSEL ; Sunil AMIN ; Aimee L. LUCAS
Gut and Liver 2021;15(5):782-790
Background/Aims:
Bisphosphonates are increasingly recognized for their anti-neoplastic properties, which are the result of their action on the mevalonate pathway. Our primary aim was to investigate the association between bisphosphonate use and survival in patients with pancreatic cancer. Since statins also act on the mevalonate pathway, we also investigated the effect of the combined use of bisphosphonates and statins on survival.
Methods:
The Surveillance, Epidemiology, and End Results registry (SEER)-Medicare linked database was used to identify patients with pancreatic ductal adenocarcinoma (PDAC) between 2007 and 2015. Kaplan-Meier models were used to examine the association between survival with bisphosphonate use alone and in combination with statins within 1 year prior to the diagnosis of PDAC. Propensity score matching analysis and Cox-proportional hazard models were used to determine the association between overall survival with bisphosphonate use alone and combined with statins, after adjusting for relevant confounders, such as the Charlson comorbidity index score, stage, treatment, sociodemographic characteristics, and propensity score.
Results:
In total, 13,639 patients with PDAC were identified, and 1,203 (8.82%) used bisphosphonates. There was no difference in the mean survival duration between bisphosphonate users (7.27 months) and nonusers (7.25 months, p=0.61). After adjustment for confounders, bisphosphonate use was still not associated with improved survival (hazard ratio, 1.00; 95% confidence interval, 0.93 to 1.08; p=0.96). Combined bisphosphonate and statin use was also not associated with improved survival (hazard ratio, 0.97; 95% confidence interval, 0.87 to 1.07; p=0.48) after adjustment for confounders.
Conclusions
Our findings suggest that the use of bisphosphonates, whether alone or in combination with statins, does not confer a survival advantage in patients with PDAC.
9.Sentinel surveillance for viral hepatitis C in China, 2016-2017.
G W DING ; S D YE ; F X HEI ; Q L LIAN ; X D PEI ; J Y BAI ; D ZHOU ; Q YANG ; S HUI ; W WANG ; A X TU ; L PANG
Chinese Journal of Epidemiology 2019;40(1):41-45
Objective: To understand the prevalence of hepatitis C virus (HCV) infection in 5 populations in China during 2016-2017 and provide evidence for the estimation of prevalence trend of hepatitis C and evaluation on the prevention and control effect. Methods: A total of 87 national sentinel surveillance sites for hepatitis C were set up in 31 provinces (autonomous regions and municipalities) of China to obtain the information about HCV infection prevalence in 5 populations, including volunteer blood donors, people receiving physical examination, patients receiving invasive diagnosis and treatment, patients receiving hemodialysis, and clients visiting family planning outpatient clinics. From April to June, 2016 and 2017, cross-sectional surveys were repeatedly conducted in the 5 populations and blood samples were collected from them for HCV antibody detection. Results: In 2016, 86 sentinel sites completed the surveillance (one sentinel site was not investigated), and 115 841 persons were surveyed. The overall HCV positive rate was 0.38% (442/115 841, 95%CI: 0.23%-0.53%). In 2017, all the 87 sentinel sites completed the surveillance, and 120 486 persons were surveyed. The overall HCV positive rate was 0.37% (449/120 486, 95%CI: 0.23%-0.52%). In 2016 and 2017, the anti-HCV positive rates were 4.46% (223/5 005, 95%CI: 2.18%-6.73%) and 4.39% (216/4 919, 95%CI: 2.29%-6.50%) respectively in hemodialysis patients, 0.85% (44/5 200, 95%CI: 0.27%-1.42%) and 0.70% (36/5 150, 95%CI: 0.15%-1.24%) respectively in patients receiving invasive diagnosis and treatment and remained to be ≤0.25% in volunteer blood donors, people receiving physical examination and clients visiting family planning outpatient clinics. Results for the comparison of the anti-HCV positive rates in the 5 populations indicated that the differences were significant (F=23.091, P<0.001 in 2016 and F=20.181, P<0.001 in 2017). Conclusions: Data from the sentinel surveillance of HCV infection on prevalence in China showed that the anti-HCV positive rates varied in the 5 populations during 2016-2017. The anti-HCV positive rate appeared the highest in the hemodialysis patients, followed by that in the patients receiving invasive diagnosis and treatment, and the prevalence of HCV infection in other 3 populations were at low levels.
China/epidemiology*
;
Cross-Sectional Studies
;
Hepacivirus
;
Hepatitis C/epidemiology*
;
Hepatitis C Antibodies
;
Humans
;
Prevalence
;
Sentinel Surveillance
10.Progress in research of family-based cohort study on common chronic non-communicable diseases in rural population in northern China.
M Y WANG ; X TANG ; X Y QIN ; Y Q WU ; J LI ; P GAO ; S P HUANG ; N LI ; D L YANG ; T REN ; T WU ; D F CHEN ; Y H HU
Chinese Journal of Epidemiology 2018;39(1):94-97
Family-based cohort study is a special type of study design, in which biological samples and environmental exposure information of the member in a family are collected and related follow up is conducted. Family-based cohort study can be applied to explore the effect of genetic factors, environmental factors, gene-gene interaction, and gene-environment interaction in the etiology of complex diseases. This paper summarizes the objectives, methods and results, as well as the opportunities and challenges of the family-based cohort study on common chronic non-communicable diseases in rural population in northern China.
China/epidemiology*
;
Chronic Disease/ethnology*
;
Cohort Studies
;
Female
;
Gene-Environment Interaction
;
Humans
;
Male
;
Middle Aged
;
Noncommunicable Diseases/ethnology*
;
Research Design
;
Rural Population


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