| Literature DB >> 33771936 |
Thanh N Nguyen1, Raul G Nogueira2, Diogo C Haussen3, Muhammad M Qureshi4, Hiroshi Yamagami5, Toshiyuki Fujinaka6, Ossama Y Mansour7, Mohamad Abdalkader8, Michael Frankel3, Zhongming Qiu9, Allan Taylor10, Pedro Lylyk11, Omer F Eker12, Laura Mechtouff13, Michel Piotin14, Fabricio Oliveira Lima15, Francisco Mont'Alverne16, Wazim Izzath17, Nobuyuki Sakai18, Mahmoud Mohammaden3, Alhamza R Al-Bayati3, Leonardo Renieri19, Salvatore Mangiafico19, David Ozretic20, Vanessa Chalumeau21, Saima Ahmad22, Umair Rashid22, Syed Irteza Hussain23, Seby John23, Emma Griffin24, John Thornton24, Jose Antonio Fiorot25, Rodrigo Rivera26, Nadia Hammami27, Anna M Cervantes-Arslanian28, Hormuzdiyar H Dasenbrock29, Huynh Le Vu30, Viet Quy Nguyen30, Steven Hetts31,32, Romain Bourcier33, Romain Guile33, Melanie Walker34, Malveeka Sharma35, Don Frei36, Pascal Jabbour37, Nabeel Herial37, Fawaz Al-Mufti38, Atilla Ozcan Ozdemir39, Ozlem Aykac39, Dheeraj Gandhi40, Chandril Chugh41, Charles Matouk42, Pascale Lavoie43, Randall Edgell44, Andre Beer-Furlan45, Michael Chen45, Monika Killer-Oberpfalzer46, Vitor Mendes Pereira47, Patrick Nicholson47, Vikram Huded48, Nobuyuki Ohara49, Daisuke Watanabe50, Dong Hun Shin51, Pedro Sc Magalhaes52, Raghid Kikano53, Santiago Ortega-Gutierrez54, Mudassir Farooqui54, Amal Abou-Hamden55, Tatsuo Amano56, Ryoo Yamamoto57, Adrienne Weeks58, Elena A Cora59, Rotem Sivan-Hoffmann60, Roberto Crosa61, Markus Möhlenbruch62, Simon Nagel63, Hosam Al-Jehani64, Sunil A Sheth65, Victor S Lopez Rivera65, James E Siegler66, Achmad Fidaus Sani67, Ajit S Puri68, Anna Luisa Kuhn68, Gianmarco Bernava69, Paolo Machi69, Daniel G Abud70, Octavio M Pontes-Neto71, Ajay K Wakhloo72, Barbara Voetsch73, Eytan Raz74, Shadi Yaghi75, Brijesh P Mehta76, Naoto Kimura77, Mamoru Murakami78, Jin Soo Lee79, Ji Man Hong79, Robert Fahed80, Gregory Walker80, Eiji Hagashi81, Steve M Cordina82, Hong Gee Roh83, Ken Wong84, Juan F Arenillas85, Mario Martinez-Galdamez86, Jordi Blasco87, Alejandro Rodriguez Vasquez88, Luisa Fonseca89, M Luis Silva90, Teddy Y Wu91, Simon John92, Alex Brehm93, Marios Psychogios93, William J Mack94, Matthew Tenser94, Tatemi Todaka95, Miki Fujimura96, Roberta Novakovic97, Jun Deguchi98, Yuri Sugiura99, Hiroshi Tokimura100, Rakesh Khatri101, Michael Kelly102, Lissa Peeling102, Yuichi Murayama103, Hugh Stephen Winters104, Johnny Wong105, Mohamed Teleb106, Jeremy Payne106, Hiroki Fukuda107, Kosuke Miyake108, Junsuke Shimbo109, Yusuke Sugimura110, Masaaki Uno111, Yohei Takenobu112, Yuji Matsumaru113, Satoshi Yamada114, Ryuhei Kono115, Takuya Kanamaru116, Masafumi Morimoto117, Junichi Iida118, Vasu Saini119, Dileep Yavagal119, Saif Bushnaq120, Wenguo Huang121, Italo Linfante122, Jawad Kirmani123, David S Liebeskind124, Viktor Szeder125, Ruchir Shah126, Thomas G Devlin126, Lee Birnbaum127, Jun Luo128, Anchalee Churojana129, Hesham E Masoud130, Carlos Ynigo Lopez130, Brendan Steinfort131, Alice Ma131, Ameer E Hassan132, Amal Al Hashmi133, Mollie McDermott134, Maxim Mokin135, Alex Chebl136, Odysseas Kargiotis137, Georgios Tsivgoulis138, Jane G Morris139, Clifford J Eskey140, Jesse Thon66, Leticia Rebello141, Dorothea Altschul142, Oriana Cornett143, Varsha Singh143, Jeyaraj Pandian144, Anirudh Kulkarni144, Pablo M Lavados145, Veronica V Olavarria145, Kenichi Todo146, Yuki Yamamoto147, Gisele Sampaio Silva148, Serdar Geyik149, Jasmine Johann36, Sumeet Multani150, Artem Kaliaev8, Kazutaka Sonoda151, Hiroyuki Hashimoto152, Adel Alhazzani153, David Y Chung28, Stephan A Mayer38, Johanna T Fifi154, Michael D Hill155, Hao Zhang156, Zhengzhou Yuan157, Xianjin Shang158, Alicia C Castonguay159, Rishi Gupta160, Tudor G Jovin66, Jean Raymond161, Osama O Zaidat120.
Abstract
BACKGROUND: During the COVID-19 pandemic, decreased volumes of stroke admissions and mechanical thrombectomy were reported. The study's objective was to examine whether subarachnoid haemorrhage (SAH) hospitalisations and ruptured aneurysm coiling interventions demonstrated similar declines.Entities:
Keywords: aneurysm; coil; haemorrhage; infection; subarachnoid
Mesh:
Year: 2021 PMID: 33771936 PMCID: PMC8006491 DOI: 10.1136/svn-2020-000695
Source DB: PubMed Journal: Stroke Vasc Neurol ISSN: 2059-8696
SAH hospitalisation volumes immediately before and during the COVID-19 pandemic
| Overall volume | Monthly volume | |||||||||
| N | n1 | n2 | Relative (%) change | P value | N | Immediately | During | Difference* (95% CI) | P value | |
| % (95% CI) | Median (IQR) | |||||||||
| Overall | 118 | 2044 | 1585 | −22.5 (−24.3 to −20.7) | <0.0001 | 124 | 4.5 (2.5–7.1) | 3.3 (1.3–6.3) | −0.88 (−1.1 to −0.58) | <0.0001 |
| Hospital COVID-19 volume† | ||||||||||
| Low | 32 | 432 | 367 | −15.1 (−18.7 to −12.0) | 0.014 | 33 | 3.5 (2.5–6.5) | 3.3 (1.7–6.0) | −0.83 (−1.9 to 0.50) | 0.076 |
| Int | 32 | 589 | 458 | −22.2 (−25.8 to −19.1) | <0.0001 | 34 | 4.9 (3.5–6.8) | 3.7 (1.7–6.0) | −0.83 (−1.9 to −0.17) | 0.001 |
| High | 33 | 731 | 513 | −29.8 (−33.2 to −26.6) | <0.0001 | 36 | 6.0 (3.0–8.4) | 4.2 (2.2–7.2) | −1.0 (−2.0 to −0.67) | <0.0001 |
| Hospital SAH coil embolisation volume‡ | ||||||||||
| Low | 42 | 370 | 293 | −20.8 (−25.2 to −17.0) | 0.002 | 45 | 2.5 (1.3–3.8) | 2.0 (1.0–3.3) | −0.25 (−0.75 to 0.08) | 0.141 |
| Int | 35 | 490 | 385 | −21.4 (−25.3 to −18.0) | 0.0002 | 36 | 4.4 (2.9–5.6) | 3.0 (1.5–4.7) | −1.0 (−1.5 to −0.17) | 0.007 |
| High | 35 | 1014 | 783 | −22.8 (−25.5 to −20.3) | <0.0001 | 36 | 7.3 (5.9–11.6) | 6.7 (4.0–9.3) | −2.0 (−3.1 to −0.75) | <0.0001 |
n1 is based on 3 months before the pandemic (December 2019–February 2020). Immediately before is based on 4 months before the pandemic (November 2019–February 2020). n2 and during COVID-19 are based on March 2020–May 2020.
P value is from Poisson means test (overall volume analysis) and Wilcoxon signed-rank test (monthly volume analysis).
*Difference denotes the median difference between the two time periods.
†P value: low versus Int=0.004, low versus high=<0.0001, Int versus high=0.002.
‡P value: low versus Int=0.831, low versus high=0.429, Int versus high=0.541.
Int, intermediate; N, number of hospitals; n, number of admissions; SAH, subarachnoid haemorrhage.
Figure 1*Peak of 1235 COVID-19 hospitalisations in the second week of February, predominantly from one hospital in Wuhan, China. SAH, subarachnoid haemorrhage.
SAH volumes 1 year before and during the COVID-19 pandemic
| Overall volume | Monthly volume | |||||||||
| N | n1 | n2 | Relative (%) change | P value | N | 1 year before | During | Difference* (95% CI) | P value | |
| % (95% CI) | Median (IQR) | |||||||||
| SAH | 75 | 1088 | 900 | −17.3 (−19.6 to −15.2) | <0.0001 | 75 | 3.0 (2.0–6.3) | 2.7 (1.3–5.7) | −0.33 (−1.0 to 0.0) | 0.001 |
| Coil embolisation† | 83 | 719 | 652 | −9.3 (−11.7 to −7.4) | 0.071 | 85 | 1.7 (0.67–3.7) | 1.3 (0.67–2.7) | 0.0 (−0.33 to 0.0) | 0.197 |
n1 and 1 year before are based on 3-month data 1 year before the pandemic (March 2019–May 2019). n2 and during COVID-19 are based on data from March 2020 to May 2020.
P value is from Poisson means test (overall volume analysis) and Wilcoxon signed-rank test (monthly volume analysis).
*Difference denotes the median difference between the two time periods.
†85 centres contributed 728 and 655 patients to 1 year before and during the COVID-19 period in the monthly volume analysis.
n, number of admissions/procedures; N, number of hospitals; SAH, subarachnoid haemorrhage.
Aneurysmal SAH, non-traumatic SAH hospitalisations before and during the pandemic
| Immediately before and during the pandemic | 1 year before and during the pandemic | |||||||||
| N | n1 | n2 | Relative change % (95% CI) | P value | N | n1 | n2 | Relative change % (95% CI) | P value | |
| Aneurysmal SAH | 56 | 834 | 626 | −24.9 (−28.0 to −22.1) | <0.0001 | 37 | 435 | 370 | −14.9 (−18.6 to −11.9) | 0.022 |
| Non-traumatic SAH* | 85 | 1451 | 1094 | −24.6 (−26.9 to −22.5) | <0.0001 | 53 | 744 | 628 | −15.6 (−18.4 to −13.1) | 0.002 |
n1 immediately before the pandemic is based on 3-month data from December 2019 to February 2020. n1 1 year before is based on 3-month data from March 2019 to May 2019. n2 is based on 3-month control data during the COVID-19 from March 2020 to May 2020 for both analyses.
P value is from the Poisson means test.
*Non-traumatic SAH include aneurysms and perimesencephalic SAH.
n, number of admissions; N, number of hospitals; SAH, subarachnoid haemorrhage.
SAH coil embolisation volumes immediately before and during the COVID-19 pandemic
| Overall volume | Monthly volume | |||||||||
| N | n1 | n2 | Relative (%) change | P value | N | Immediately before | During COVID-19 | Difference* (95% CI) | P value | |
| % (95% CI) | Median (IQR) | |||||||||
| Overall | 125 | 1170 | 1035 | −11.5 (−13.5 to −9.8) | 0.002 | 133 | 1.8 (1.0–4.0) | 1.7 (0.67–3.3) | −0.25 (−0.58 to −0.08) | 0.0004 |
| Hospital COVID-19 volume† | ||||||||||
| Low | 39 | 270 | 266 | −1.5 (−3.7 to −0.58) | 0.764 | 40 | 1.5 (0.88–2.5) | 1.0 (0.50–2.8) | −0.29 (−0.67 to 0.08) | 0.294 |
| Int | 33 | 319 | 287 | −10.0 (−13.8 to −7.2) | 0.151 | 35 | 2.5 (1.0–3.8) | 2.0 (1.0–3.0) | −0.25 (−0.75 to 0.0) | 0.041 |
| High | 31 | 329 | 256 | −22.2 (−27.0 to −18.0) | 0.002 | 34 | 2.0 (1.3–5.0) | 2.0 (1.0–4.0) | −0.63 (−1.2 to 0.0) | 0.007 |
| Hospital SAH Coil embolisation volume‡ | ||||||||||
| Low | 46 | 107 | 151 | 41.1 (32.3 to 50.6) | 0.008 | 49 | 0.75 (0.25–1.0) | 0.67 (0.33–1.7) | 0.0 (0.0 to 0.33) | 0.044 |
| Int | 37 | 217 | 192 | −11.5 (−16.5 to −7.9) | 0.178 | 39 | 2.0 (1.8–2.5) | 1.3 (0.67–2.7) | −0.75 (−1.1 to −0.08) | 0.015 |
| High | 42 | 846 | 692 | −18.2 (−20.9 to −15.8) | <0.0001 | 45 | 5.3 (4.0–8.8) | 4.7 (2.7–6.3) | −1.8 (−2.3 to −0.67) | <0.0001 |
n1 is based on 3 months before the pandemic (December 2019–February 2020). Immediately before is based on 4 months before the pandemic (November 2019–February 2020). n2 and during COVID-19 are based on March 2020–May 2020.
P value is from Poisson means test (overall volume analysis) and Wilcoxon signed-rank test (monthly volume analysis).
*Difference denotes the median difference between the two time periods.
†P value: low versus Int≤0.0001, low versus high≤0.0001, Int versus high≤0.0001.
‡P value: low versus Int=n/a; low versus high=n/a; Int versus high=0.019.
Int, intermediate; N, number of hospitals; n, number of procedures; n/a, not applicable; SAH, subarachnoid haemorrhage.