8 results on '"Dao, Phuong Viet"'
Search Results
2. Factors associated with 90-day mortality in Vietnamese stroke patients: Prospective findings compared with explainable machine learning, multicenter study.
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Mai, Ton Duy, Nguyen, Dung Tien, Tran, Cuong Chi, Duong, Hai Quang, Nguyen, Hoa Ngoc, Dang, Duc Phuc, Hoang, Hai Bui, Vo, Hong-Khoi, Pham, Tho Quang, Truong, Hoa Thi, Tran, Minh Cong, and Dao, Phuong Viet
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HEMORRHAGIC stroke ,MACHINE learning ,ISCHEMIC stroke ,VIETNAMESE people ,LEUCOCYTES - Abstract
The prevalence and predictors of mortality following an ischemic stroke or intracerebral hemorrhage have not been well established among patients in Vietnam. 2885 consecutive diagnosed patients with ischemic stroke and intracerebral hemorrhage at ten stroke centres across Vietnam were involved in this prospective study. Posthoc analyses were performed in 2209 subjects (age was 65.4 ± 13.7 years, with 61.4% being male) to explore the clinical characteristics and prognostic factors associated with 90-day mortality following treatment. An explainable machine learning model using extreme gradient boosting and SHapley Additive exPlanations revealed the correlation between original clinical research and advanced machine learning methods in stroke care. In the 90 days following treatment, the mortality rate for ischemic stroke was 8.2%, while for intracerebral hemorrhage, it was higher at 20.5%. Atrial fibrillation was an elevated risk of 90-day mortality in the ischemic stroke patient (OR 3.09; 95% CI 1.90–5.02, p<0.001). Among patients with intracerebral hemorrhage, there was no statistical significance in those with hypertension compared to their counterparts without hypertension (OR 0.65, 95% CI 0.41–1.03, p > 0.05). The baseline NIHSS score was a significant predictor of 90-day mortality in both patient groups. The machine learning model can predict a 0.91 accuracy prediction of death rate after 90 days. Age and NIHSS score were in the top high risks with other features, such as consciousness, heart rate, and white blood cells. Stroke severity, as measured by the NIHSS, was identified as a predictor of mortality at discharge and the 90-day mark in both patient groups. [ABSTRACT FROM AUTHOR]
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- 2024
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3. Study protocol: Early neurological deterioration in patients with minor stroke, frequency, predictors, and outcomes in Vietnam single-centre study.
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Nguyen, Dung Tien, Mai, Ton Duy, Dao, Phuong Viet, Ha, Hung Tran, Le, Anh Tuan, Nguyen, Tuyet Trinh Thi, Vuong, Trung Xuan, and Tran, Minh Cong
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CLINICAL deterioration ,STROKE patients ,ISCHEMIC stroke ,DISEASE risk factors ,RESEARCH protocols - Abstract
Early neurological deterioration (END) is progressive neurological deterioration with an increase in NIHSS score of 2 points or more in the first 72 hours from the onset of acute ischemic stroke. END increases the risk of poor clinical outcomes at day 90 of ischemic stroke. We will study the frequency, predictors, and outcomes of patients with END in a case-control study at a comprehensive stroke centre in Vietnam. of the design is a descriptive observational study, longitudinal follow-up of patients with minor stroke hospitalized at the Stroke Center of Bach Mai Hospital from December 1, 2023, to December 1, 2024. Minor stroke patients characterized by NIHSS score ≤ 5 hospitalized within 24 hours of symptom onset will be recruited. The estimated END rate is about 30%, relative accuracy ε = 0.11, 95% reliability, expected 5% of patients lost data or follow-up, and an estimated sample size of 779 patients. This study will help determine the END rate in patients with minor stroke and related factors, thereby building a prognostic model for END. Our study determined the END rate in patients with minor stroke in Vietnam and also proposed risk factors for minor stroke management and treatment. [ABSTRACT FROM AUTHOR]
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- 2024
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4. Safety and efficacy of fluoxetine on functional outcome after acute stroke (AFFINITY): a randomised, double-blind, placebo-controlled trial
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Hankey, Graeme J., Hackett, Maree L., Almeida, Osvaldo P., Flicker, Leon, Mead, Gillian E., Dennis, Martin S., Etherton-Beer, Christopher, Ford, Andrew H., Billot, Laurent, Jan, Stephen, Lung, Thomas, Murray, Veronica, Lundström, Erik, Anderson, Craig S., Herbert, Robert, Carter, Gregory, Donnan, Geoffrey A., Nguyen, Huy-Thang, Gommans, John, Yi, Qilong, Li, Qiang, Bompoint, Severine, Barrett, Sarah, Claxton, Anne, O'Dea, Julia, Tang, Michelle, Williams, Clare, Peterson, Shenae, Drummond, Christie, Hong, Uyen-Ha, Le, Linh-Thi My, Ngo, Tram-Thi Bich, Mai, Yen-Bao, Han, Huyen-Thanh, Truong, Nhu-Quynh, Nguyen, Huong-Thi, Ngo, Hai-Thanh, Nguyen, -Thi Binh, Ha, Oanh-Thi Kieu, Nguyen, Trang-Le Huyen, Lindley, Richard I., New, Peter, Lee, Andrew, Tran, Thanh-Trung, Le, Loan-Tran Truc Mai, Kieu, Thuy-Le Vu, Nguyen, Sang-Van, Nguyen, Thuy-Anh Diem, Dang, Tam-Nhat, Phan, Hanh-Thi Truc, Vo, Loan-Thi Ngoc, Nguyen, Mai-Hue, Dang, Hanh-Cao, Tran, Hong-Thi, Dam, Linh-Thi Cam, Ngo, Trinh-Thi Kim, Pham, Thai-Nguyen Thanh, Pham, Binh-Nguyen, Dao, Nha-Thi Thanh, Nguyen, Huong-Thi Bich, Le, Linh-Thi Cam, Do, Chi-Minh, Huynh, Huy-Quoc, Tran, Giau-Thi Kim, Le, Oanh-Thi, Tran, Ly-Thi Khanh, Duong, Chinh-Dinh, Kieu, Duong-Van, Le, Na, Nguyen, Hoa-Ngoc, Le, Binh-Van, Nguyen, Long-Thanh, Nguyen, Long-Van, Dinh, Tuan-Quoc, Vo, Tan-Van, Bui, Tram-Ngoc, Hoang, Uyen-Thi To, Nguyen, Hien-Thi Bich, Nguyen, Ha-Thi Thu, Lam, Nga-Thuy, Le, Khanh-Kim, Trinh, Phuong-Thanh, Huynh, Hop-Quang, Nguyen, Thao-Thi Thu, Lu, Huyen-Ngoc, Pham, Tham-Hong, Nguyen, Sam-Hoanh, Le, Ninh-Hong, Nguyen, Giang-Truong, Doan, Bich-Thi, Pham, Sung-Phuoc, Luong, Duong-Huu, Mai, Ha-Van, Tran, Thuc-Van, Do, Phuong-Thi, Le, Hoai-Thi, Nguyen, Chi-Van, Nguyen, Phuong-Doan, Mai, Ton-Duy, Dao, Phuong-Viet, Nguyen, Dung-Tien, Khuong, Dai-Quoc, Vuong, Trung-Xuan, Vu, Lan-Tuong, Ngo, Ngoc-Duc, Dang, Hanh-Hong, Truong, Phuong-Thai, Le, Ngan-Thi, Hoang, Hoa-Van, Do, Chung-Quang, Nguyen, Minh-Thao, Dam, Anh-Hai, Le, Quynh-Nhu, Nguyen, Ngoc-Hoang, Nguyen, Tuyen-Van, Le, Toan-Dinh, Dinh, Ha-Thi Hai, Pham, Cuong-Van, Thach, Khanh-Thi Ngoc, Nguyen, Linh-Hai, Nguyen, Loan-Thi, Le, Vien-Chi, Tran, Phuong-Hong, Nguyen, Tai-Anh, Le, Tuan-Van, Truong, Luyen-Van, Bui, Tue-Chau, Huynh, Ngoc-Xuan, Dinh, Lap-Van, Pham, An-Gia, Le, Trang-Thi Huyen, Nguyen, Vy-Tuong, Nguyen, Yen-Hai, Nguyen, Thang-Ba, Thai, Huy, Pham, Quyen-Thi Ngoc, Dao, Khoa-Duy, Pham, Quoc-Nguyen Bao, Dang, Thuong-Thi Huyen, Dinh, Huong-Huynh To, Tong, Trang-Mai, Vu, Thuy-Thi, Le, Si-Tri, Tran, Tai-Ngoc, Tran, Phuong-Hoai, Dinh, Ngoc-Thuy Nhu, Nguyen, Binh-Thanh, Do, Vinh-Phuong, Nguyen, Anh-Ngoc, Nguyen, Binh-Thi Thanh, Blacker, David, Bunce, Lindsey, Tan, Ai Ling, Ghia, Darshan, Edmonds, Gillian, O'Loughlin, Nicole, Ewing, Megan, Whittaker, Kerri-Ann, Deane, Lorralee, Gawarikar, Yash, Jones, Brett, Lopez, Maria, Nagesh, Koushik, Siracusa, Emma, Davis, Stephen, McDonald, Amy, Tsoleridis, Jess, McCoy, Rachael, Jackson, David, Silver, Gab, Bates, Timothy R., Boudville, Amanda, Southwell, Lynda, Cordato, Dennis, McDougall, Alan J., Cappelen-Smith, Cecilia, Calic, Zeljka, Askar, Shabeel, Cheng, Qi, Kumar, Raymond, Geraghty, Richard, Duroux, Maree, Ratcliffe, Megan, Shone, Samantha, McLennan, Cassandra, Sahathevan, Ramesh, Hair, Casey, Levy, Stanley, Macdonald, Beverley, Nham, Benjamin, Rigney, Louise, Nathani, Dev, Gopinath, Sumana, Patel, Vishal, Mamun, Abul, Trewin, Benjamin, Phua, Chun, Choong, Ho, Tarrant, Lauren, Boyle, Kerry, Hewitt, Luisa, Hourn, Monique, Masterson, Amanda, Oakley, Kim, Ruddell, Karen, Sanctuary, Colette, Veitch, Kimberley, Burdusel, Camelia, Lee, Lina, Cheuk, Gary, Christley, Jeremy, Hartwell, Tabitha, Davenport, Craig, Hickey, Kate, Robertson, Rosanna, Carr, Michelle, Akbari, Sam, Coyle, Hannah, O'Neill, Megan, Redpath, Cameron, Roberts, Caroline, Tabesh, Marjan, Withiel, Toni, Abeysuriya, Kapila, Granger, Andrew, Abraham, Angela, Chua, Chermaine, Do Nguyen, Dung, Surendran, Vathani, Daines, Melissa, Shivlal, David, Latif, Mudassar, Mughal, Noreen, Morgan, Patricia, Krause, Martin, Priglinger, Miriam, Shandiz, Ehsan E., Day, Susan, Kho, Lay, Pollack, Michael, Dunne, Judith, Baines, Helen, Rees, Merridie, White, Jenni, Withanage, Aicuratiya, Delcourt, Candice, Carcel, Cheryl, Malavera, Alejandra, Kunchok, Amy, Ray, Elizabeth, Pepper, Elizabeth, Duckett, Emily, Ormond, Sally, Moey, Andrew, Kleinig, Timothy, Maxwell, Vanessa, Baldwin, Chantal, Vallat, Wilson, Field, Deborah, Markus, Romesh, Page, Kirsty, Wheelwright, Danielle, Bolitho, Sam, Faux, Steven, Sangvatanakul, Fix, Brown, Alexis, Walker, Susan, Massey, Jennifer, Hayes, Hillary, Katrak, Pesi, Winker, Annie, Zagami, Alessandro, Bailey, Alanah, Mccormack, Sarah, Murray, Andrew, Rollason, Mark, Taylor, Christopher, O'Rourke, Fintan, Kuang, Ye Min, Burnet, Heike, Liu, Yvonne, Wu, Aileen, Ramirez, Diana, Wijeratne, Tissa, Celestino, Sherisse, Low, Essie, Chen, Cynthia, Bergqvist, Jennifer, Evans, Andrew, Leung, Queenie, Jude, Martin, McQueen, Rachael, Mohr, Katherine, Kernaghan, Latitia, Stockle, Paul, Tan, Boon L., Laubscher, Sara, Schmid, Diana, Spooner, Melissa, Lallu, Bhavesh, Pepperell, Bronwen, Chalissery, John, Mahawish, Karim, DeCaigney, Susan, Broughton, Paula, Knight, Karen, Duque, Veronica, McNaughton, Harry, Lanford, Jeremy, Fu, Vivian, and Wong, Lai-Kin
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- 2020
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5. Successful management of severe diabetic ketoacidosis in a patient with type 2 diabetes with insulin allergy: a case report
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Nguyen, Anh Dat, Luong, Chinh Quoc, Chu, Hieu Chi, Nguyen, Van Khoa Dieu, Nguyen, Chi Van, Nguyen, Tuan Anh, Nguyen, Quan Huu, Mai, Ton Duy, Nguyen, Dinh Van, Nguyen, Bay Quang, Tran, Thong Huu, Dao, Phuong Viet, Nguyen, Dat Tuan, Nguyen, Nguyet Nhu, and Do, Son Ngoc
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- 2019
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6. Sex disparity in stroke outcomes in a multicenter prospective stroke registry in Vietnam.
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Ton, Mai Duy, Dao, Phuong Viet, Nguyen, Dung Tien, Nguyen, Thang Huy, Tran, Cuong Chi, Duong, Hai Quang, Nguyen, Hoa Ngoc, Nguyen, Sam Hoanh, Bui, Huyen Thi, Dang, Duc Phuc, Dao, Nham Thi, Bui, Ha Thi Thu, Hoang, Hai Bui, Vo, Khoi Hong, Nguyen, Chinh Duy, Pham, Tho Quang, and Nguyen, Thanh N
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STROKE , *STROKE patients , *HEMORRHAGIC stroke , *INTRACRANIAL hemorrhage , *ISCHEMIC stroke , *MYOCARDIAL infarction - Abstract
Background: Although men have a higher rate of stroke than women, it is not clear whether women have a worse outcome after adjusting for confounders such as vascular risk factors, age, stroke severity, and reperfusion therapy. We evaluated sex differences on 90-day functional outcomes after stroke in a multicenter study in Vietnam. Methods: We recruited patients presenting with ischemic or hemorrhagic stroke at 10 stroke centers in Vietnam for a period of 1 month from 1 August 2022 to 31 August 2022. We reviewed the patient's clinical demographics, time from symptom onset to hospital admission, stroke classification, stroke subtype, stroke severity, characteristics of reperfusion therapy, and 90-day clinical outcome. We compared functional outcomes and predisposing factors at day 90 between men and women after an ischemic and hemorrhagic stroke. Poor outcome was defined as modified Rankin Scale 3–6. Results: There were 2300 stroke patients included. Men accounted for 61.3% (1410) of participants. Compared to men, women were older (67.7 ± 13.9 vs 63.7 ± 13.3, P < 0.001), had a higher rate of diabetes mellitus (21.1% vs 15.3%, P < 0.001), a lower rate of tobacco use (1.0 % vs 23.6%, P < 0.001), and a lower body mass index (21.4 ± 2.70 vs 22.0 ± 2.72, P < 0.001). There was a higher rate of intracranial hemorrhage (ICH) in men (21.3% vs 15.6%, P = 0.001), whereas the rate of subarachnoid hemorrhage was higher in women (6.2% vs 3.0%, P < 0.001). For ischemic stroke, door-to-needle time (36.9 ± 17.6 vs 47.8 ± 35.2 min, P = 0.04) and door-to-recanalization time (113.6 ± 51.1 vs 134.2 ± 48.2, P = 0.03) were shorter in women. There was no difference in 90-day functional outcomes between sexes. Factors associated with poor outcomes included age ⩾50 years (adjusted odds ratio (aOR): 1.75; 95% confidence interval (CI): 1.16–2.66), history of stroke (aOR: 1.50; 95% CI: 1.15–1.96), large artery atherosclerosis (aOR: 5.19; 95% CI: 3.90–6.90), and cardioembolism (aOR: 3.21; 95% CI: 1.68–6.16). Factors associated with mortality in patients with acute ischemic stroke included a history of coronary artery disease (aOR: 3.04; 95% CI: 1.03–8.92), large artery atherosclerosis (aOR: 3.37; 95% CI: 2.11–5.37), and cardioembolism (aOR: 3.15; 95% CI: 1.20–8.27). Conclusion: There were no sex differences in the clinical outcome of stroke and ischemic stroke in this prospective cohort of hospitalized Vietnamese patients. [ABSTRACT FROM AUTHOR]
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- 2023
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7. Validation of the accuracy of the modified World Federation of Neurosurgical Societies subarachnoid hemorrhage grading scale for predicting the outcomes of patients with aneurysmal subarachnoid hemorrhage.
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Nguyen, Tuan Anh, Mai, Ton Duy, Vu, Luu Dang, Dao, Co Xuan, Ngo, Hung Manh, Hoang, Hai Bui, Tran, Tuan Anh, Pham, Trang Quynh, Pham, Dung Thi, Nguyen, My Ha, Nguyen, Linh Quoc, Dao, Phuong Viet, Nguyen, Duong Ngoc, Vuong, Hien Thi Thu, Vu, Hung Dinh, Nguyen, Dong Duc, Vu, Thanh Dang, Nguyen, Dung Tien, Do, Anh Le Ngoc, and Nguyen, Cuong Duy
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SUBARACHNOID hemorrhage ,INTERNATIONAL organization ,ODDS ratio ,RECEIVER operating characteristic curves ,LOGISTIC regression analysis ,DISABILITIES ,CONFOUNDING variables - Abstract
Background: Evaluating the prognosis of patients with aneurysmal subarachnoid hemorrhage (aSAH) who may be at risk of poor outcomes using grading systems is one way to make a better decision on treatment for these patients. This study aimed to compare the accuracy of the modified World Federation of Neurosurgical Societies (WFNS), WFNS, and Hunt and Hess (H&H) Grading Scales in predicting the outcomes of patients with aSAH. Methods: From August 2019 to June 2021, we conducted a multicenter prospective cohort study on adult patients with aSAH in three central hospitals in Hanoi, Vietnam. The primary outcome was the 90-day poor outcome, measured by a score of 4 (moderately severe disability) to 6 (death) on the modified Rankin Scale (mRS). We calculated the areas under the receiver operator characteristic (ROC) curve (AUROCs) to determine how well the grading scales could predict patient prognosis upon admission. We also used ROC curve analysis to find the best cut-off value for each scale. We compared AUROCs using Z-statistics and compared 90-day mean mRS scores among intergrades using the pairwise multiple-comparison test. Finally, we used logistic regression to identify factors associated with the 90-day poor outcome. Results: Of 415 patients, 32% had a 90-day poor outcome. The modified WFNS (AUROC: 0.839 [95% confidence interval, CI: 0.795–0.883]; cut-off value≥2.50; P
AUROC <0.001), WFNS (AUROC: 0.837 [95% CI: 0.793–0.881]; cut-off value≥3.5; PAUROC <0.001), and H&H scales (AUROC: 0.836 [95% CI: 0.791–0.881]; cut-off value≥3.5; PAUROC <0.001) were all good at predicting patient prognosis on day 90th after ictus. However, there were no significant differences between the AUROCs of these scales. Only grades IV and V of the modified WFNS (3.75 [standard deviation, SD: 2.46] vs 5.24 [SD: 1.68], p = 0.026, respectively), WFNS (3.75 [SD: 2.46] vs 5.24 [SD: 1.68], p = 0.026, respectively), and H&H scales (2.96 [SD: 2.60] vs 4.97 [SD: 1.87], p<0.001, respectively) showed a significant difference in the 90-day mean mRS scores. In multivariable models, with the same set of confounding variables, the modified WFNS grade of III to V (adjusted odds ratio, AOR: 9.090; 95% CI: 3.494–23.648; P<0.001) was more strongly associated with the increased risk of the 90-day poor outcome compared to the WFNS grade of IV to V (AOR: 6.383; 95% CI: 2.661–15.310; P<0.001) or the H&H grade of IV to V (AOR: 6.146; 95% CI: 2.584–14.620; P<0.001). Conclusions: In this study, the modified WFNS, WFNS, and H&H scales all had good discriminatory abilities for the prognosis of patients with aSAH. Because of the better effect size in predicting poor outcomes, the modified WFNS scale seems preferable to the WFNS and H&H scales. [ABSTRACT FROM AUTHOR]- Published
- 2023
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8. Clinical characteristics and factors relating to poor outcome in patients with aneurysmal subarachnoid hemorrhage in Vietnam: A multicenter prospective cohort study.
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Luong, Chinh Quoc, Ngo, Hung Manh, Hoang, Hai Bui, Pham, Dung Thi, Nguyen, Tuan Anh, Tran, Tuan Anh, Nguyen, Duong Ngoc, Do, Son Ngoc, Nguyen, My Ha, Vu, Hung Dinh, Vuong, Hien Thi Thu, Mai, Ton Duy, Nguyen, Anh Quang, Le, Kien Hoang, Dao, Phuong Viet, Tran, Thong Huu, Vu, Luu Dang, Nguyen, Linh Quoc, Pham, Trang Quynh, and Dong, He Van
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SUBARACHNOID hemorrhage ,COHORT analysis ,LOGISTIC regression analysis ,LONGITUDINAL method ,CEREBRAL ischemia - Abstract
Background: The prevalence of risk factors for poor outcomes from aneurysmal subarachnoid hemorrhage (SAH) varies widely and has not been fully elucidated to date in Vietnam. Understanding the risk and prognosis of aneurysmal SAH is important to reduce poor outcomes in Vietnam. The aim of this study, therefore, was to investigate the rate of poor outcome at 90 days of ictus and associated factors from aneurysmal SAH in the country. Methods: We performed a multicenter prospective cohort study of patients (≥18 years) presenting with aneurysmal SAH to three central hospitals in Hanoi, Vietnam, from August 2019 to August 2020. We collected data on the characteristics, management, and outcomes of patients with aneurysmal SAH and compared these data between good (defined as modified Rankin Scale (mRS) of 0 to 3) and poor (mRS, 4–6) outcomes at 90 days of ictus. We assessed factors associated with poor outcomes using logistic regression analysis. Results: Of 168 patients with aneurysmal SAH, 77/168 (45.8%) were men, and the median age was 57 years (IQR: 48–67). Up to 57/168 (33.9%) of these patients had poor outcomes at 90 days of ictus. Most patients underwent sudden-onset and severe headache (87.5%; 147/168) and were transferred from local to participating central hospitals (80.4%, 135/168), over half (57.1%, 92/161) of whom arrived in central hospitals after 24 hours of ictus, and the initial median World Federation of Neurological Surgeons (WFNS) grading score was 2 (IQR: 1–4). Nearly half of the patients (47.0%; 79/168) were treated with endovascular coiling, 37.5% (63/168) were treated with surgical clipping, the remaining patients (15.5%; 26/168) did not receive aneurysm repair, and late rebleeding and delayed cerebral ischemia (DCI) occurred in 6.1% (10/164) and 10.4% (17/163) of patients, respectively. An initial WFNS grade of IV (odds ratio, OR: 15.285; 95% confidence interval, CI: 3.096–75.466) and a grade of V (OR: 162.965; 95% CI: 9.975–2662.318) were independently associated with poor outcomes. Additionally, both endovascular coiling (OR: 0.033; 95% CI: 0.005–0.235) and surgical clipping (OR: 0.046; 95% CI: 0.006–0.370) were inversely and independently associated with poor outcome. Late rebleeding (OR: 97.624; 95% CI: 5.653–1686.010) and DCI (OR: 15.209; 95% CI: 2.321–99.673) were also independently associated with poor outcome. Conclusions: Improvements are needed in the management of aneurysmal SAH in Vietnam, such as increasing the number of aneurysm repairs, performing earlier aneurysm treatment by surgical clipping or endovascular coiling, and improving both aneurysm repairs and neurocritical care. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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