1.Efficacy of neoadjuvant therapy on HER2-positive breast cancer: a clinicopathological analysis.
P ZHU ; H LYU ; Q M BAI ; R H SHUI ; X L XU ; W T YANG
Chinese Journal of Pathology 2023;52(9):907-911
Objective: To investigate the efficacy of neoadjuvant therapy (NAT) on HER2-positive breast cancer and to analyze their clinicopathological features. Methods: A total of 480 cases of HER2-positive breast cancer who received neoadjuvant therapy (NAT), diagnosed at the Department of Pathology of Fudan University Shanghai Cancer Center from 2015 to 2020, were retrospectively identified. Clinicopathological parameters such as age, tumor size, molecular subtype, type of targeted therapy, Ki-67 proliferation index, ER and HER2 immunohistochemical expression, and HER2 amplification status were analyzed to correlate with the efficacy of NAT. Results: Among 480 patients with HER2-positive breast cancer, 209 achieved pathology complete response (pCR) after NAT, with a pCR rate of 43.5%. Of all the cases,457 patients received chemotherapy plus trastuzumab and 23 patients received chemotherapy with trastuzumab and pertuzumab. A total of 198 cases (43.3%) achieved pCR in patients with chemotherapy plus trastuzumab, and 11 cases (47.8%) achieved pCR in patients with chemotherapy plus trastuzumab and pertuzumab. The pCR rate in the latter group was higher, but there was no statistical significance. The results showed that the pCR rate of IHC-HER2 3+patients (49%) was significantly higher than that of IHC-HER2 2+patients (26.1%, P<0.001). The higher the mean HER2 copy number in the FISH assay, the higher the pCR rate was achieved. The expression level of ER was inversely correlated with the efficacy of NAT, and the pCR rate in the ER-positive group (28.2%) was significantly lower than that in the ER-negative group (55.8%, P<0.001). The pCR rate (29.1%) of patients with luminal B type was lower than that of HER2 overexpression type (55.8%, P<0.001). In addition, higher Ki-67 proliferation index was associated with higher pCR rate (P<0.001). The pCR rate was the highest in the tumor ≤2 cm group (57.7%), while the pCR rate in the tumor >5 cm group was the lowest (31.1%). The difference between the groups was significant (P=0.005). Conclusions: HER2 copy numbers, HER2 immunohistochemical expression level, molecular subtype, ER expression level and Ki-67 proliferation index are significantly associated with pCR after NAT. In addition, fluorescence in situ hybridization results, HER2/CEP17 ratio and tumor size could also significantly affect the efficacy of NAT.
China
;
In Situ Hybridization, Fluorescence
;
Ki-67 Antigen
;
Neoadjuvant Therapy
;
Retrospective Studies
;
Trastuzumab
;
Humans
;
Female
;
Breast Neoplasms/drug therapy*
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.Ewing's sarcoma of central nervous system: a clinicopathological analysis of six cases.
Q Y YANG ; H LI ; C LIU ; M L BAO ; Q H FAN ; M H PAN
Chinese Journal of Pathology 2023;52(12):1249-1254
Objective: To investigate the clinicopathological characteristics, pathological diagnosis of Ewing's sarcoma of the central nervous system. Methods: Six cases of Ewing's sarcoma of the central nervous system diagnosed at the First Affiliated Hospital of Nanjing Medical University, Nanjing, China from 2015 to 2022 were collected. The clinical manifestations, histological morphology, immunophenotype and molecular genetics of these cases were analyzed. The related literature was reviewed. Results: There were four males and two females, with a male to female ratio of 2∶1. The onset age was 17-40 years, with a median age of 23 years. All 6 tumors were located in the spinal cord (2 cases of cervical vertebra, 1 case of thoracic vertebra, 2 cases of lumbar vertebra, and 1 case of sacral vertebra). The patients' clinical manifestations were mostly lumbago, weakness and numbness of lower limbs/limbs. In 1 case, the tumor recurred and metastasized to the suprasellar region and the third ventricle. Microscopically, the tumor showed diffuse infiltrative growth. In some cases, the tumor was closely related to the spinal meninges. The tumor cells were arranged in sheet, lobular, thin-rope, and nest-like patterns. Homer-Wright rosette was visible. The tumor cells were small to medium in size, and most of them had scant cytoplasm. A few cells had clear cytoplasm. Some areas were rhabdoid. The tumor cell nuclei showed focal mild pleomorphism. The chromatin was uniform and delicate while the nucleoli were not obvious. Mitosis was commonly seen. The tumor was separated by fibrous connective tissue and may be accompanied by mucinous degeneration. Immunohistochemistry showed that all tumors were positive for CD99, NKX2.2, Fli1, ERG. ATRX, H3K27me3, INI1 and BRG1 were all retained. Immunohistochemical stains for EMA, GFAP and Olig2 were negative. The Ki-67 proliferation index was 30%-70%. EWSR1 break-apart FISH test was positive. Conclusions: Ewing's sarcoma is rare in the central nervous system and needs to be distinguished from a variety of neoplasms with primitive undifferentiated small cell morphology. Immunohistochemistry and molecular genetics may be required for a proper diagnosis.
Humans
;
Male
;
Female
;
Young Adult
;
Adult
;
Adolescent
;
Sarcoma, Ewing/pathology*
;
Proto-Oncogene Protein c-fli-1
;
Immunohistochemistry
;
Biomarkers, Tumor/genetics*
;
Central Nervous System/pathology*
4.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.
7.DPHL:A DIA Pan-human Protein Mass Spectrometry Library for Robust Biomarker Discovery
Zhu TIANSHENG ; Zhu YI ; Xuan YUE ; Gao HUANHUAN ; Cai XUE ; Piersma R. SANDER ; Pham V. THANG ; Schelfhorst TIM ; Haas R.G.D. RICHARD ; Bijnsdorp V. IRENE ; Sun RUI ; Yue LIANG ; Ruan GUAN ; Zhang QIUSHI ; Hu MO ; Zhou YUE ; Winan J. Van Houdt ; Tessa Y.S. Le Large ; Cloos JACQUELINE ; Wojtuszkiewicz ANNA ; Koppers-Lalic DANIJELA ; B(o)ttger FRANZISKA ; Scheepbouwer CHANTAL ; Brakenhoff H. RUUD ; Geert J.L.H. van Leenders ; Ijzermans N.M. JAN ; Martens W.M. JOHN ; Steenbergen D.M. RENSKE ; Grieken C. NICOLE ; Selvarajan SATHIYAMOORTHY ; Mantoo SANGEETA ; Lee S. SZE ; Yeow J.Y. SERENE ; Alkaff M.F. SYED ; Xiang NAN ; Sun YAOTING ; Yi XIAO ; Dai SHAOZHENG ; Liu WEI ; Lu TIAN ; Wu ZHICHENG ; Liang XIAO ; Wang MAN ; Shao YINGKUAN ; Zheng XI ; Xu KAILUN ; Yang QIN ; Meng YIFAN ; Lu CONG ; Zhu JIANG ; Zheng JIN'E ; Wang BO ; Lou SAI ; Dai YIBEI ; Xu CHAO ; Yu CHENHUAN ; Ying HUAZHONG ; Lim K. TONY ; Wu JIANMIN ; Gao XIAOFEI ; Luan ZHONGZHI ; Teng XIAODONG ; Wu PENG ; Huang SHI'ANG ; Tao ZHIHUA ; Iyer G. NARAYANAN ; Zhou SHUIGENG ; Shao WENGUANG ; Lam HENRY ; Ma DING ; Ji JIAFU ; Kon L. OI ; Zheng SHU ; Aebersold RUEDI ; Jimenez R. CONNIE ; Guo TIANNAN
Genomics, Proteomics & Bioinformatics 2020;18(2):104-119
To address the increasing need for detecting and validating protein biomarkers in clinical specimens, mass spectrometry (MS)-based targeted proteomic techniques, including the selected reaction monitoring (SRM), parallel reaction monitoring (PRM), and massively parallel data-independent acquisition (DIA), have been developed. For optimal performance, they require the fragment ion spectra of targeted peptides as prior knowledge. In this report, we describe a MS pipe-line and spectral resource to support targeted proteomics studies for human tissue samples. To build the spectral resource, we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on Docker. We then applied the workflow to gen-erate DPHL, a comprehensive DIA pan-human library, from 1096 data-dependent acquisition (DDA) MS raw files for 16 types of cancer samples. This extensive spectral resource was then applied to a proteomic study of 17 prostate cancer (PCa) patients. Thereafter, PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was validated. As a second application, the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma (DLBCL) patients and 18 healthy control subjects. Differentially expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by PRM. These data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker discovery. DPHL is freely accessible at https://www.iprox.org/page/project.html?id=IPX0001400000.
8.Interpretation for the group standards in data management for large population-based cohorts.
C Q YU ; Y N LIU ; J LYU ; Z BIAN ; Y L TAN ; Y GUO ; H J TANG ; X YANG ; L M LI
Chinese Journal of Epidemiology 2019;40(1):17-19
Precision medicine became the key strategy in development priority of science and technology in China. The large population-based cohorts become valuable resources in preventing and treating major diseases in the population, which can contribute scientific evidence for personalized treatment and precise prevention. The fundamental question of the achievements above, therefore, is how to construct a large population-based cohort in a standardized way. The Chinese Preventive Medicine Association co-ordinated experienced researchers from Peking University and other well-known institutes to write up two group standards Technical specification of data processing for large population-based cohort study (T/CPMA 001-2018) and Technical specification of data security for large population-based cohort study (T/CPMA 002-2018), on data management. The standards are drafted with principles of emphasizing their scientific, normative, feasible, and generalizable nature. In these two standards, the key principles are proposed, and technical specifications are recommended in data standardization, cleansing, quality control, data integration, data privacy protection, and database security and stability management in large cohort studies. The standards aim to guide the large population-based cohorts that have been or intended to be established in China, including national cohorts, regional population cohorts, and special population cohorts, hence, to improve domestic scientific research level and the international influence, and to support decision-making and practice of disease prevention and control.
China
;
Cohort Studies
;
Delivery of Health Care
;
Humans
;
Population Surveillance
;
Quality Control
;
Reference Standards
9.Hospitalization burden of hand, foot and mouth disease in Anhua county of Hunan province, 2013-2016.
S B YU ; K W LUO ; Y H ZHOU ; B B DAI ; F F LIU ; H YANG ; L LUO ; J LIU ; L L WANG ; Q LI ; L S REN ; Q H LIAO ; H J YU
Chinese Journal of Epidemiology 2019;40(1):79-83
Objective: To estimate the serotype and age-specific hospitalization burden associated with hand, foot and mouth disease (HFMD) in Anhua county of Hunan province, between October 2013 and September 2016. Methods: We collected hospitalization records of HFMD patients from 6 virological surveillance hospitals, and reimbursement records through new rural cooperative medical system from 23 township health centers to estimate the age-specific hospitalization burden of HFMD in Anhua. Combined with the results of virological surveillance, the serotype-specific hospitalization burden of HFMD in Anhua, was estimated. Results: During the three years, it was estimated that 3 541 clinical diagnosed HFMD cases, including 3 146 laboratory-confirmed HFMD cases, were hospitalized in Anhua, but only one was diaguosed as being severe. The estimated average hospitalization rate was 723/100 000(95%CI: 699/100 000-747/100 000) for clinical diagnosed HFMD and 642/100 000 (95%CI: 620/100 000-665/100 000) for laboratory-confirmed HFMD between October 2013 and September 2016. The cases caused by Cox A16 (208/100 000) and Cox A6 (202/100 000) had higher hospitalization rates compared with the cases caused by EV71 (130/100 000), Cox A10 (38/100 000) and other enterovirus (64/100 000), and the difference was statistically significant (P<0.001). HFMD-associated hospitalization rates peaked in children aged 1 year (3 845/100 000), and then decreased with age. Compared with the hospitalized HFMD caused by EV71 and Cox A16, Cox A6-associated hospitalizations mainly occurred in younger age groups (P<0.001). Conclusion: Our study revealed a substantial hospitalization burden associated with mild HFMD caused by EV71, Cox A16, Cox A6 and Cox A10, especially in young children, in Anhua.
Child
;
China/epidemiology*
;
Enterovirus
;
Enterovirus A, Human/isolation & purification*
;
Enterovirus Infections/virology*
;
Hand, Foot and Mouth Disease/virology*
;
Hospitalization/statistics & numerical data*
;
Hospitals/statistics & numerical data*
;
Humans
;
Infant
;
Serogroup
10.Frailty progress and related factors in the elderly living in community: a prospective study.
F YANG ; S WANG ; H QIN ; K TAN ; Q Q SUN ; L X WANG ; S S NIE ; J N LIU ; Y CHEN ; M ZHANG ; Y Y CHEN
Chinese Journal of Epidemiology 2019;40(2):186-190
Objective: To investigate frailty progress status and related factors in the elderly living in communities. Methods: A cohort of elderly people aged 65 and over in Pingyi community of Dujiangyan, Sichuan province, was established. Face-to-face questionnaire survey was conducted by trained interviewers. The frailty status, cognitive function, nutrition status and other functions of the subjects surveyed were evaluated at baseline survey and during follow-up. The socio-demographic and clinical characteristics of the subjects surveyed were assessed at baseline survey. Binary logistic regressions were used to identify factors associated with frailty progress. Results: A total of 653 elderly people were surveyed in January 2014, and 507 elderly people were followed up while 146 elderly people terminated further follow-up in January 2017. The prevalence rates of frailty and pre-frailty at baseline survey were 11.2% (n=57) and 26.2% (n=133), respectively. After 3 years, 205 subjects (40.4%) surveyed experienced frailty progress, 276 (54.5%) remained to be in frailty state at baseline survey, and 26 (5.1%) had improvement. Disability (OR=8.27, 95%CI: 1.62-42.26), visual problem (OR=2.02, 95%CI: 1.27-3.22), cognitive impairment (OR=1.94, 95%CI: 1.08-3.48), poor self-rated health (OR=1.89, 95%CI: 1.07-3.31), chronic pain (OR=1.57, 95%CI: 1.03-2.40) and older age (OR=1.12, 95%CI: 1.08-1.17) were independently associated with the progress of frailty. In contract, overweight was a protective factor (OR=0.54, 95%CI: 0.34-0.85). Conclusions: Frailty is a dynamic syndrome affected by several socio-demographic factors and geriatric factors. The results of the study can be used in the prevention of frailty progress in the elderly in communities.
Aged
;
Aged, 80 and over
;
China/epidemiology*
;
Frail Elderly/statistics & numerical data*
;
Frailty
;
Geriatric Assessment/statistics & numerical data*
;
Humans
;
Prospective Studies
;
Quality of Life/psychology*
;
Surveys and Questionnaires

Result Analysis
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