1.Prevalence of diabetes in Chinese adults: a Meta-analysis.
D D ZHANG ; X TANG ; D Y JIN ; Y H HU ; P GAO
Chinese Journal of Epidemiology 2018;39(6):852-857
Objective: To evaluate the prevalence and trend of diabetes mellitus among Chinese adults during the past thirty years. Methods: Papers, published before October 1, 2017 and related to the prevalence of diabetes mellitus among Chinese adults, were searched through PubMed, China Knowledge Resource Integrated Database, Wanfang Digital Database and VIP Citation Databases. Stata 13.0 software was used to estimate the prevalence of diabetes mellitus, with pooled prevalence calculated based on random effects. Subgroup analysis was conducted based on time, sex, areas and body mass index groups of investigation. Continuous fractional polynomial regression model on the midpoint of each survey period, weighted by the number of participants in each study, was used to estimate and illustrate the trends of prevalence of diabetes over the years. Results: In total, 15 studies were included and two of them were excluded in the primary analysis with the age limitation of participants as ≥40 years old, for recruitment. The average prevalence of diabetes among Chinese adults was 6.3% (95%CI: 4.6%-8.0%), during the past thirty years. The pooled prevalence appeared higher in urban than in rural areas and higher in men than in women. Between 1980 and 2013, the increase of Chinese diabetes prevalence did not follow the linear trend. Before 2000, the average prevalence showed as 3.5% (95%CI: 2.0%-4.9%), with an annual increase rate as 0.17%. Since 2000, the average annual prevalence of diabetes mellitus had appeared around 8.0% (95%CI: 6.0%-10.1%), with an annual growth rate of 0.72% (95%CI: 0.34%-1.10%). Conclusion: The prevalence of diabetes in Chinese adults had been rapidly increasing since the year 2000, indicating that efforts should be strengthened for diabetes prevention, in China.
Adult
;
Asian People/statistics & numerical data*
;
Body Mass Index
;
China/epidemiology*
;
Diabetes Mellitus/ethnology*
;
Female
;
Humans
;
Male
;
Models, Statistical
;
Prevalence
;
Rural Population
;
Sex Distribution
;
Surveys and Questionnaires
;
Urban Population
2.Distribution characteristics of tumor infiltrating lymphocytes in EBV-associated lymphoepithelioma-like carcinoma and their clinical significance.
J Y JIN ; Y Q LYU ; T T LU ; W J YIN ; Y X WU ; X Y LIU ; Y YANG ; C Q WU ; X H NI ; D SU
Chinese Journal of Pathology 2023;52(8):814-819
Objective: To investigate the association between the distribution of tumor infiltrating lymphocytes (TIL) in EBV associated lymphoepitheliomatoid carcinoma (LELC) and the pathological subtypes of LELC, as well as the clinical significance of TIL distribution. Methods: The LELC patients with sufficient tumor tissues, complete clinical data and positive EBER, who visited Zhejiang Cancer Hospital, Hangzhou, China from January 2006 to October 2018, were selected. Various immunohistochemical markers (CD20, CD138, CD4, CD8, CD56 and FOXP3) were examined for TIL typing. Two pathologists reviewed the hematoxylin and eosin (HE) staining sections and interpreted the immunohistochemical results. Correlation analysis was used to evaluate the relationship between the distribution of TIL subgroups and LELC's pathological characteristics. Survival analyses were conducted to study the prognostic values of TIL subgrouping. Results: A total of 102 patients with EBV related LELC were included. 46 of them were classic LELC (c-LELC) with rich interstitial TIL, and 56 were non-classic LELC (n-LELC) with relatively fewer interstitial TIL. The results of TIL analysis showed that all subtypes of c-LELC were rich in TIL, with B lymphocytes as the dominant subgroup. The number of TIL in n-LELC was fewer than that in c-LELC, with T lymphocytes as the dominant subgroup. There was no significant difference in the distribution of plasma cells between the two groups. Survival analysis showed that the total number of TIL, and the infiltrations of CD20+B cells, CD4+T cells, and FOXP3+Treg cells were associated with better overall survivals (P=0.004, 0.003, 0.008 and 0.025, respectively) and disease-free survivals (P=0.011, 0.003, 0.038 and 0.041, respectively) in patients with LELC. Conclusions: The morphologic subtypes of EBV-related LELC have different tumor immune characteristics. The total number of TIL in the stroma of c-LELC is significantly higher than that of n-LELC. Interestingly, B lymphocytes are the dominant TIL in c-LELC, while T lymphocytes are the dominant TIL in n-LELC. The infiltration of TIL, CD20+B cells, CD4+T cells and FOXP3+Treg cells in LELC may suggest a better prognosis.
Humans
;
Lymphocytes, Tumor-Infiltrating
;
Herpesvirus 4, Human
;
Clinical Relevance
;
Prognosis
;
Carcinoma, Squamous Cell/pathology*
;
Forkhead Transcription Factors
3.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*
4.Association between lack of care in childhood and cognitive impairment in middle-aged and elderly population.
W S ZHANG ; H Q ZHENG ; C Q JIANG ; L XU ; Y L JIN ; T ZHU ; F ZHU ; D Q LAM
Chinese Journal of Epidemiology 2018;39(8):1106-1111
Objective: To investigate the association between people who were under lack of care in childhood and the development of cognitive impairment in their middle-aged and elderly life spans. Methods: Based on the baseline survey data of the third phase of "Guangzhou Biobank Cohort study" conducted from January 2007 to January 2008, 9 223 residents aged ≥50 years with records on Mini Mental State Examination (MMSE) were included in a retrospective survey on received childhood care of their early lives. Questions would include: feelings of care and support from their close relatives during childhood, the status of separation from their mothers for ≥1 year, and the current status of their parents. Linear regression, unconditional and multinomial logistic regression models were used to analyze the associations between the received childhood care and cognitive function (i.e., MMSE scores and cognitive impairment) in middle and old age, of this population under study. Results: After adjusting for age, gender, education, place of residence, marital status, physical activity, smoking, drinking, occupation, personal income, childhood socioeconomic position and depressive symptoms etc., factors as feeling lack of concern and support from close relatives (LC), status of separation from the mother for ≥1 year (SM), and the current status of their parents etc., were all negatively associated with the MMSE score when in middle and old age, with partial regression coefficient β (95%CI) as -0.44 (-0.65- -0.23), -0.26 (-0.38- -0.14) and -0.61 (-0.96- -0.27), respectively. The presence of LC, SM or PD were associated with the increased risks of cognitive impairment, and the adjusted odds ratio OR (95%CI) appeared as 1.43 (1.15-1.78), 1.26 (1.08-1.47) and 1.64 (1.16-2.31) respectively in all the participants, but 1.27 (1.01-1.62), 1.29 (1.09-1.55) and 1.75 (1.19-2.55) respectively, in those with education level of primary school or below. In those with secondary school education or above, only the presence of item A was associated with an increased risk of cognitive impairment (OR=2.26, 95%CI: 1.41-3.50). Conclusion: We noticed that 'lack of care' in childhood was associated with cognitive impairment during middle and old age, mainly in those population with lower education.
Aged
;
Cognition/physiology*
;
Cognition Disorders/physiopathology*
;
Cognitive Dysfunction/physiopathology*
;
Humans
;
Linear Models
;
Middle Aged
;
Odds Ratio
;
Retrospective Studies
;
Surveys and Questionnaires
5.Study on prevalence of physical activity in rural residents in four counties (districts) of Shanxi and Chongqing.
Y F ZHAO ; J X MA ; J H LI ; B CHEN ; Y YANG ; H LIANG ; L J WANG ; D B PENG ; M G JIN ; A M WANG ; R M LI ; W H LI ; W J WANG
Chinese Journal of Epidemiology 2018;39(3):302-307
Objective: To investigate the prevalence of physical activity and its influencing factors in rural residents in Shanxi and Chongqing. Methods: In four counties (districts) of Shanxi and Chongqing, local residents aged ≥18 who lived there for more than one year and had no plan to migrate to other areas in 2 years were surveyed through face to face questionnaire interviews to collect the information about their daily physical activity time, sedentary time, related knowledge and attitude, and others. Results: The physical inactivity rate of the residents was 14.9%, and 88.7% of residents never took daily physical activity. The average sedentary time was (3.91±2.06) hours. The results of multivariate analysis showed that education level, per capita monthly income and activity degree were the factors influencing physical inactivity. Conclusion: The proportion of people who never took daily physical activity in the survey area was higher than the average level in rural areas in China, so measures should be taken to improve the overall rate of physical activity. For people who have exercise willingness, but have no practice, and those who have already increased their physical activities, targeted guidance is needed on the basis of strengthened health education.
China
;
Educational Status
;
Exercise
;
Health Education
;
Humans
;
Income
;
Motivation
;
Motor Activity
;
Physicians
;
Prevalence
;
Rural Population
;
Surveys and Questionnaires
6.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.