3.Effect of sugammadex on postoperative nausea and vomiting after surgery for intracranial aneurysm.
J CUI ; L YAO ; J L WU ; C Y LU ; Y ZHAO ; Y L ZHAO
Chinese Journal of Surgery 2023;61(8):700-706
Objective: To investigate the effect of sugammadex on postoperative nausea and vomiting(PONV) after intracranial aneurysm surgery. Methods: Data from intracranial aneurysms patients who met the inclusion and exclusion criteria and underwent interventional surgery in the Department of Neurosurgery, Peking University International Hospital from January 2020 to March 2021 were prospectively included. According to the random number table method, the patients were divided by 1∶1 into the neostigmine+atropine group (group N) and the sugammadex group (group S). Use an acceleration muscle relaxation monitor for muscle relaxation monitoring, and administer neostigmine+atropine and sugammadex to block residual muscle relaxation drugs after surgery. The incidence rates of PONV and severity, the appearance of anesthesia, and the correlation between PONV and postoperative complications were recorded in both groups during five periods after surgery: 0-0.5 hours (T1),>0.5-2.0 hours(T2),>2.0-6.0 hours (T3),>6.0-12.0 hours (T4) and >12.0-24.0 hours (T5). Group comparisons of quantitative data were performed by the independent sample t-test, and categorical data was performed by the χ2 or rank sum test. Results: A total of 66 patients were included in the study, including 37 males and 29 female, aged (59.3±15.4) years (range: 18 to 77 years). The incidence rates of PONV of 33 patients in group S at different time periods of T1, T2, T3, T4, and T5 after surgery were respectively 27.3%(9/33),30.3%(10/33),12.1%(4/33),3.0%(1/33),0(0/33),and the incidence rates of PONV of 33 patients in the group N at different time periods of T1, T2, T3, T4 and T5 after surgery were respectively 36.4%(12/33),36.4%(12/33),33.3%(11/33),6.1%(2/33) and 0(0/33).The incidence of PONV was lower in the group S only in the T3 period after reversal than in the group N (χ2=4.227, P=0.040).However, there was no statistically significant difference in the incidence of PONV between the two groups of patients in other periods (all P>0.05). The recovery time for spontaneous breathing in patients in group S was (7.7±1.4) minutes, the extubation time was (12.4±5.3) minutes, and the safe exit time for anesthesia recovery was (12.3±3.4) minutes; the N groups were (13.9±2.0) minutes, (18.2±6.0) minutes, and (18.6±5.2) minutes, respectively; three time periods in group S were shorter than those in group N, and the differences were statistically significant (all P<0.05). The results regarding the occurrence of complications in patients with different levels of PONV at different time intervals after surgery in the two groups were as follows: in the T3 time period of group N, a significant difference was observed only in the occurrence of postoperative complications among patients with different levels of PONV (χ2=24.786, P<0.01). However, in the T4 time period, significant differences were found in the occurrence of postoperative complications among both the same level and different level PONV patients (χ2=15.435, 15.435, both P<0.01). Significant differences were also observed in the occurrence of postoperative complications among the same level and different level PONV patients in both the T3 and T4 time periods of group S (all P<0.01). Conclusion: Sugammadex can be used to reverse muscle relaxation in patients undergoing intracranial aneurysm intervention surgery,and it does not have a significant impact on the incidence of PONV, it can also optimize the quality of anesthesia recovery and reduce the incidence of complications after intracranial aneurysm embolization surgery.
Male
;
Humans
;
Female
;
Sugammadex
;
Postoperative Nausea and Vomiting/chemically induced*
;
Neostigmine/adverse effects*
;
Intracranial Aneurysm/surgery*
;
gamma-Cyclodextrins/adverse effects*
;
Atropine
4.Development and validation of a prognostic prediction model for patients with stage Ⅰ to Ⅲ colon cancer incorporating high-risk pathological features.
K X LI ; Q B WU ; F Q ZHAO ; J L ZHANG ; S L LUO ; S D HU ; B WU ; H L LI ; G L LIN ; H Z QIU ; J Y LU ; L XU ; Z WANG ; X H DU ; L KANG ; X WANG ; Z Q WANG ; Q LIU ; Y XIAO
Chinese Journal of Surgery 2023;61(9):753-759
Objective: To examine a predictive model that incorporating high risk pathological factors for the prognosis of stage Ⅰ to Ⅲ colon cancer. Methods: This study retrospectively collected clinicopathological information and survival outcomes of stage Ⅰ~Ⅲ colon cancer patients who underwent curative surgery in 7 tertiary hospitals in China from January 1, 2016 to December 31, 2017. A total of 1 650 patients were enrolled, aged (M(IQR)) 62 (18) years (range: 14 to 100). There were 963 males and 687 females. The median follow-up period was 51 months. The Cox proportional hazardous regression model was utilized to select high-risk pathological factors, establish the nomogram and scoring system. The Bootstrap resampling method was utilized for internal validation of the model, the concordance index (C-index) was used to assess discrimination and calibration curves were presented to assess model calibration. The Kaplan-Meier method was used to plot survival curves after risk grouping, and Cox regression was used to compare disease-free survival between subgroups. Results: Age (HR=1.020, 95%CI: 1.008 to 1.033, P=0.001), T stage (T3:HR=1.995,95%CI:1.062 to 3.750,P=0.032;T4:HR=4.196, 95%CI: 2.188 to 8.045, P<0.01), N stage (N1: HR=1.834, 95%CI: 1.307 to 2.574, P<0.01; N2: HR=3.970, 95%CI: 2.724 to 5.787, P<0.01) and number of lymph nodes examined (≥36: HR=0.438, 95%CI: 0.242 to 0.790, P=0.006) were independently associated with disease-free survival. The C-index of the scoring model (model 1) based on age, T stage, N stage, and dichotomous variables of the lymph nodes examined (<12 and ≥12) was 0.723, and the C-index of the scoring model (model 2) based on age, T stage, N stage, and multi-categorical variables of the lymph nodes examined (<12, 12 to <24, 24 to <36, and ≥36) was 0.726. A scoring system was established based on age, T stage, N stage, and multi-categorical variables of lymph nodes examined, the 3-year DFS of the low-risk (≤1), middle-risk (2 to 4) and high-risk (≥5) group were 96.3% (n=711), 89.0% (n=626) and 71.4% (n=313), respectively. Statistically significant difference was observed among groups (P<0.01). Conclusions: The number of lymph nodes examined was an independent prognostic factor for disease-free survival after curative surgery in patients with stage Ⅰ to Ⅲ colon cancer. Incorporating the number of lymph nodes examined as a multi-categorical variable into the T and N staging system could improve prognostic predictive validity.
Male
;
Female
;
Humans
;
Prognosis
;
Neoplasm Staging
;
Retrospective Studies
;
Nomograms
;
Lymph Nodes/pathology*
;
Risk Factors
;
Colonic Neoplasms/surgery*
5.Burden of hepatitis B-associated diseases in China from 1990 to 2030.
L YAO ; S LIN ; J HUANG ; Y WU
Chinese Journal of Schistosomiasis Control 2023;35(5):464-475
OBJECTIVE:
To measure the burden of hepatitis B-associated diseases in China from 1990 to 2019, and to predict its changes from 2020 to 2030.
METHODS:
The age-standardized prevalence, incidence, mortality and disability-adjusted life years (DALY) rate of hepatitis B-associated diseases in China from 1990 to 2019 were extracted from the Global Burden of Disease 2019 (GBD 2019) data resources, and the trends in burdens of hepatitis B-associated diseases were evaluated from 1990 to 2019 using estimated annual percentage change (EAPC) and annual percent change (APC). In addition, the changes in the burden of hepatitis B-associated diseases were predicted in China from 2020 to 2023 using the Bayesian model.
RESULTS:
The overall incidence of hepatitis B-associated diseases reduced from 2 725.98/105 in 1990 to 1 397.31/105 in 2019 in China [estimated annual percentage change (EAPC) = -2.35%, 95% confidential interval (CI): (-2.58%, -2.13%)], with a reduction in the prevalence from 12 239.53/105 in 1990 to 6 566.12/105 in 2019 [EAPC = -2.34%, 95% CI: (-2.54%, -2.14%)], a reduction in the mortality from 24.67/105 in 1990 to 8.07/105 in 2019 [EAPC = -4.92%, 95% CI: (-5.37%, -4.47%)], and a reduction in the DALY rate from 793.38/105 in 1990 to 247.71/105 in 2019 [(EAPC = -5.15%, 95% CI: (-5.64%, -4.66%)]. The DALY rate of hepatitis B-associated diseases were mainly attributed to liver cancer, and the DALY rate of hepatitis B-associated diseases appeared a tendency towards a rise in China from 2012 to 2019 [APC = 1.30%, 95% CI: (0.16%, 2.45%)]. The overall burden of hepatitis Bassociated diseases was higher in males than in females, and the DALY rate of hepatitis B-associated diseases increased with age, with the greatest DALY rate seen among patients at ages of 50 to 69 years. The overall incidence of hepatitis B-associated diseases was projected to be 866.79/105 in China in 2030, with the greatest incidence seen in acute hepatitis B (854.87/105), and the burden of hepatitis B-associated diseases was predicted to decline in China from 2020 to 2030; however, the burden of liver disease was projected to appear a tendency towards a rise.
CONCLUSIONS
The burden of hepatitis B-associated diseases appears an overall tendency towards a decline in China from 1990 to 2030; however, the burden of liver cancer appears a tendency towards aggravation. Early diagnosis and treatment of liver cancer should be given a high priority.
Male
;
Female
;
Humans
;
Middle Aged
;
Aged
;
Bayes Theorem
;
Quality-Adjusted Life Years
;
Hepatitis B/epidemiology*
;
Liver Neoplasms/epidemiology*
;
China/epidemiology*
;
Incidence
6.Analysis and prediction of burden of viral hepatitis C-associated diseases in China from 1990 to 2044.
M ZHOU ; L YAO ; Y WU ; S LIN ; J HUANG
Chinese Journal of Schistosomiasis Control 2023;35(5):476-485
OBJECTIVE:
To measure the burden of hepatitis C-associated diseases in China from 1990 to 2019, and to predict its changes from 2020 to 2044, so as to provide insights into formulation of the targeted hepatitis C control strategy.
METHODS:
The total burden due to hepatitis C-associated diseases in China from 1990 to 2019 were extracted from the Global Burden of Disease 2019 (GBD 2019) data resources, and the trends in age-standardized prevalence, incidence, mortality and disability-adjusted life years (DALYs) rate of hepatitis C-associated acute hepatitis C (AHC), chronic liver diseases (CLD) and liver cancer in China from 1990 to 2019 were evaluated in China from 1990 to 2019 using estimated annual percentage change (EAPC). In addition, the changes in the burden of hepatitis C-associated diseases were predicted in China from 2020 to 2044 using a Bayesian model.
RESULTS:
The prevalence, incidence, mortality and DALY rate of hepatitis C-associated diseases all appeared an overall tendency towards a decline in China from 1990 to 2019 (EAPC = -2.64%, -2.24%, -3.81% and -3.90%, respectively); however, there was a minor rise in the incidence and prevalence of hepatitis C-associated diseases from 2015 to 2019. The overall prevalence of hepatitis C-associated diseases reduced from 2 152.7/105 in 1990 to 1 254.1/105 in 2019 in China, with a reduction of 41.7%. The overall incidence reduced from 87.9/105 in 1990 to 55.0/105 in 2019 in China, with a reduction of 37.4%, and the highest incidence was seen for AHC, followed by CLD and liver cancer. The overall mortality and DALY rate of hepatitis C-associated diseases was 4.0/105 and 100.8/105 in China from 1990 to 2019, with CLD showing the largest contributions to the gross mortality and DALY. The mortality and DALY rate of hepatitis C-associated diseases were 5.5/105 and 142.4/105 among men in China in 2019, which were both much higher than among women (2.8/105 and 60.3/105, respectively), and the overall prevalence (1 604.9/105), mortality (30.2/105) and DALYs (437.1/105) of hepatitis C-associated diseases were all highest among patients at ages of 70 years and older, and the highest incidence was seen among patients at ages of 0 to 9 years (167.3/105). The incidence of hepatitis C-associated diseases was predicted to rise in China from 2020 to 2044; however, the DALY rate was projected to appear a tendency towards a decline.
CONCLUSIONS
Although the burden of hepatitis C-associated diseases showed a tendency towards a decline in China from 1990 to 2019, the burden remained high, and was predicted to slightly rise from 2020 to 2044. High attention should be paid to screening of hepatitis C among infants and treatment among adults.
Male
;
Adult
;
Infant
;
Humans
;
Female
;
Bayes Theorem
;
Quality-Adjusted Life Years
;
Hepatitis C/epidemiology*
;
Liver Neoplasms/epidemiology*
;
China/epidemiology*
;
Incidence
7.Predictive value of MRI pelvic measurements for "difficult pelvis" during total mesorectal excision.
Z SUN ; W Y HOU ; J J LIU ; H D XUE ; P R XU ; B WU ; G L LIN ; L XU ; J Y LU ; Y XIAO
Chinese Journal of Gastrointestinal Surgery 2022;25(12):1089-1097
Objective: Total mesorectal resection (TME) is difficult to perform for rectal cancer patients with anatomical confines of the pelvis or thick mesorectal fat. This study aimed to evaluate the ability of pelvic dimensions to predict the difficulty of TME, and establish a nomogram for predicting its difficulty. Methods: The inclusion criteria for this retrospective study were as follows: (1) tumor within 15 cm of the anal verge; (2) rectal cancer confirmed by preoperative pathological examination; (3) adequate preoperative MRI data; (4) depth of tumor invasion T1-4a; and (5) grade of surgical difficulty available. Patients who had undergone non-TME surgery were excluded. A total of 88 patients with rectal cancer who underwent TME between March 2019 and November 2021 were eligible for this study. The system for scaling difficulty was as follows: Grade I, easy procedure, no difficulties; Grade II, difficult procedure, but no impact on specimen quality (complete TME); Grade III, difficult procedure, with a slight impact on specimen quality (near-complete TME); Grade IV: very difficult procedure, with remarkable impact on specimen quality (incomplete TME). We classified Grades I-II as no surgical difficulty and grades III-IV as surgical difficulty. Pelvic parameters included pelvic inlet length, anteroposterior length of the mid-pelvis, pelvic outlet length, pubic tubercle height, sacral length, sacral depth, distance from the pubis to the pelvic floor, anterior pelvic depth, interspinous distance, and inter-tuberosity distance. Univariate and multivariate logistic regression analyses were performed to identify the factors associated with the difficulty of TME, and a nomogram predicting the difficulty of the procedure was established. Results: The study cohort comprised 88 patients, 30 (34.1%) of whom were classified as having undergone difficult procedures and 58 (65.9%) non-difficult procedures. The median age was 64 years (56-70), 51 patients were male and 64 received neoadjuvant therapy. The median pelvic inlet length, anteroposterior length of the mid-pelvis, pelvic outlet length, pubic tubercle height, sacral length, sacral depth, distance from the pubis to the pelvic floor, anterior pelvic depth, interspinous distance, and inter-tuberosity distance were 12.0 cm, 11.0 cm, 8.6 cm, 4.9 cm, 12.6 cm, 3.7 cm, 3.0 cm, 13.3 cm, 10.2 cm, and 12.2 cm, respectively. Multivariable analyses showed that preoperative chemoradiotherapy (OR=4.97,95% CI: 1.25-19.71, P=0.023), distance between the tumor and the anal verge (OR=1.31, 95% CI: 1.02-1.67, P=0.035) and pubic tubercle height (OR=3.36, 95% CI: 1.56-7.25, P=0.002) were associated with surgical difficulty. We then built and validated a predictive nomogram based on the above three variables (AUC = 0.795, 95%CI: 0.696-0.895). Conclusion: Our research demonstrated that our system for scaling surgical difficulty of TME is useful and practical. Preoperative chemoradiotherapy, distance between tumor and anal verge, and pubic tubercle height are risk factors for surgical difficulty. These data may aid surgeons in planning appropriate surgical procedures.
Humans
;
Male
;
Middle Aged
;
Female
;
Retrospective Studies
;
Laparoscopy/methods*
;
Pelvis/pathology*
;
Rectal Neoplasms/pathology*
;
Magnetic Resonance Imaging
;
Treatment Outcome
9.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.

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