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Motovska Z, Hlinomaz O, Hromadka M, Kala P, Klechova A, Precek J, Kettner J, Mrozek J, Cervinka J, Matejka J, Zohor A, Bis J, Jarkosvky J. Impact of COVID-19 pandemic on the occurrence and outcome of cardiogenic shock complicating acute myocardial infarction. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
The COVID-19 pandemic had influenced the patient's behavior and impacted the homeostasis to a pro-thrombotic niveau.
Aim
The study aimed to follow the impact of COVID-19 on the incidence and prognosis of cardiogenic shock complicated initially acute myocardial infarction (CS-AMI).
Methods
We used data entered into a large national all-comers registry of coronary intervention over five years. From 1/2016 to 12/2020, 50,745 AMI patients were included, and 2,822 (5.6%) initially had CS.
Results
The incidence of CS-AMI was significantly higher in the COVID period (2020) than the mean incidence in 2016–2019 (5.5% vs 6%, p=0.032). The difference was caused by significant increase of CS in acute STEMI (7.6% vs. 8.7%, p=0.011); it was 7.1% in 2016, 7.8% (2017), 7.6% (2018), 7.8% (2019), and 8.7% (2020). The CS complicated 2.3% (2016), 2.7% (2017), 2.7% (2018), 2.8% (2019), and 2.8% (2020) of NSTEMI.
The observed rise in CS-STEMI incidence each month during the pandemic compared to the average incidence in non-pandemic years correlated with the substantial increase in the number of COVID infected/hospitalized (Table 1). In these months, no changes in time delay to reperfusion layout were observed in CS-STEMI patients (Table 2).
Except of less frequent history of previous PCI (13.9% and 8.2%, p<0.001), we found no significant differences in the followed CS-STEMI patient characteristics in 2016–2019 and 2020; men 72.7% and 75.4% (p=0.1), mean age (SD) 66.3 (12.3)yrs and 66.3 (12.2) yrs, Diabetes 20.9% and 19.1% (p=0.2), CKD 5.4% and 5.7% (p=0.4), previous CABG 4.5 and 4.2% (p=0.5), left main disease (14.3% and 16%, p=0.5), one vessel disease 24.9% and 32.1% (p=0.9), pre-PCI TIMI flow 0 64.4% and 66.2% (p=0.6), post-PCI TIMI flow 3 76.7% and 76.9%.
The COVID pandemic didn't influence the proportions of pre-hospital resuscitated CS-AMI patients (57.5% and 58.7%, p=0.6) and those on mechanical ventilation (67.8% and 68.3%, p=0.8).
The 30-day mortality trend of CS-AMI was 53.7% in 2016, 51.6% (2017), 49.7% (2018), 49.3% (2019), and 47.9% (2020). And in CS-STEMI it was 50.8%, 47.1%, 46.4%, 44.1%, and 45.3% (P2019 vs. 2020 =0.8), respectively.
Conclusion
Data from a large national all-comer registry showed an increase in the proportion of patients admitted to hospitals with STEMI complicated by CS in the year of the COVID pandemic. The CS rise correlated with the increase in the COVID infected population. Factors other than the patient's cardiovascular risk profile or prolongation of a time delay to reperfusion influenced this trend. We suggest that the availability of health care and patient adherence may have affected the risks control. We did not observe any effect of the pandemic on CS-AMI mortality.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Ministry of Health of the Czech Republic
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Affiliation(s)
- Z Motovska
- Charles University Prague, 3rd Faculty of Medicine, Faculty Hospital Kralovske Vinohrady , Prague , Czechia
| | - O Hlinomaz
- St. Anne University Hospital Brno (FNUSA) , Brno , Czechia
| | - M Hromadka
- Charles University and Univ. Hospital, Department of Cardiology , Plzen , Czechia
| | - P Kala
- University hospital-Bohunice and Masaryk University , Brno , Czechia
| | - A Klechova
- Institute for Health Information and Statistics , Prague , Czechia
| | - J Precek
- University Hospital Olomouc , Olomouc , Czechia
| | - J Kettner
- Institute of Clinical and experimental cardiology , Prague , Czechia
| | - J Mrozek
- University Hospital Ostrava , Ostrava , Czechia
| | - J Cervinka
- Masaryk Hospital , Usti Nad Labem , Czechia
| | - J Matejka
- Regional Hospital Pardubice , Pardubice , Czechia
| | - A Zohor
- Hospital Karlovy Vary , Karlovy Vary , Czechia
| | - J Bis
- University Hospital Hradec Kralove , Hradec Kralove , Czechia
| | - J Jarkosvky
- Institute of Biostatistics and Analyses of Masaryk University , Brno , Czechia
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Totzeck M, Hendgen-Cotta U, Rammos C, Petrescu A, Stock P, Goedecke A, Shiva S, Kelm M, Rassaf T, Duerr GD, Heuft T, Klaas T, Suchan G, Roell W, Zimmer A, Welz A, Fleischmann BK, Dewald O, Luedde M, Carter N, Lutz M, Sosna J, Jacoby C, Floegel U, Hippe HJ, Adam D, Heikenwaelder M, Frey N, Sobierajski J, Luedicke P, Hendgen-Cotta U, Lue H, Totzeck M, Dewor M, Kelm M, Bernhagen J, Rassaf T, Cortez-Dias N, Costa M, Carrilho-Ferreira P, Silva D, Jorge C, Robalo Martins S, Fiuza M, Pinto FJ, Nunes Diogo A, Enguita FJ, Tsiachris D, Tsioufis C, Kasiakogias A, Flessas D, Antonakis V, Kintis K, Giakoumis M, Hatzigiannis P, Katsimichas T, Stefanadis C, Andrikou E, Tsioufis C, Thomopoulos C, Kasiakogias A, Tzamou V, Andrikou I, Bafakis I, Lioni L, Kintis K, Stefanadis C, Lazaros G, Tsiachris D, Tsioufis C, Vlachopoulos C, Brili S, Chrysohoou C, Tousoulis D, Stefanadis C, Santos De Sousa CI, Pires S, Nunes A, Cortez Dias N, Belo A, Cabrita I, Pinto FJ, Benova T, Radosinska J, Viczenczova C, Bacova B, Knezl V, Dosenko V, Navarova J, Zeman M, Tribulova N, Maceira Gonzalez AM, Cosin Sales J, Igual B, Ruvira J, Diago JL, Aguilar J, Lopez Lereu MP, Monmeneu JV, Estornell J, Choi JC, Cha KS, Lee HW, Yun EY, Ahn JH, Oh JH, Choi JH, Lee HC, Hong TJ, Manzano Fernandez S, Lopez-Cuenca A, Januzzi JL, Mateo-Martinez A, Sanchez-Martinez M, Parra-Pallares S, Orenes-Pinero E, Romero-Aniorte AI, Valdes-Chavarri M, Marin F, Bouzas Mosquera A, Peteiro J, Broullon FJ, Alvarez Garcia N, Couto Mallon D, Bouzas Zubeldia B, Martinez Ruiz D, Yanez Wonenburger JC, Fabregas Casal R, Castro Beiras A, Backus BE, Six AJ, Cullen L, Greenslade J, Than M, Kameyama T, Sato T, Noto T, Nakadate T, Ueno H, Yamada K, Inoue H, Albrecht-Kuepper B, Kretschmer A, Kast R, Baerfacker L, Schaefer S, Kolkhof P, Andersson C, Kober L, Christensen SB, Nguyen CD, Nielsen MB, Olsen AMS, Gislason GH, Torp-Pedersen C, Shigekiyo M, Harada K, Lieu H, Neutel J, Maddock S, Goldsmith S, Koren M, Antwerp BV, Burnett J, Christensen SB, Charlot MG, Madsen M, Andersson C, Kober L, Gustafsson F, Torp-Pedersen C, Gislason GH, Cavusoglu Y, Mert KU, Nadir A, Mutlu F, Gencer E, Ulus T, Birdane A, Lim HS, Tahk SJ, Yang HM, Kim JW, Seo KW, Choi BJ, Choi SY, Yoon MH, Hwang GS, Shin JH, Russ MA, Wackerl C, Hochadel M, Brachmann J, Mudra H, Zeymer U, Weber MA, Menozzi A, Saia F, Valgimigli M, Belotti LM, Casella G, Manari A, Cremonesi A, Piovaccari G, Guastaroba P, Marzocchi A, Kuramitsu S, Iwabuchi M, Haraguchi T, Domei T, Nagae A, Hyodo M, Takabatake Y, Yokoi H, Toyota F, Nobuyoshi M, Kaitani K, Hanazawa K, Izumi C, Nakagawa Y, Ando K, Arita T, Nobuyoshi M, Shizuta S, Kimura T, Isshiuki T, Trucco ME, Tolosana JM, Castel MA, Borras R, Sitges M, Khatib M, Arbelo E, Berruezo A, Brugada J, Mont L, Romanov A, Pokushalov E, Prokhorova D, Chernyavskiy A, Shabanov V, Goscinska-Bis K, Bis J, Bochenek A, Gersak B, Karaskov A, Linde C, Daubert C, Bergemann TL, Abraham WT, Gold MR, Van Boven N, Bogaard K, Ruiter JH, Kimman GP, Kardys I, Umans VA, Cipriani M, Lunati M, Landolina M, Vittori C, Vargiu S, Ghio S, Petracci B, Campo C, Bisetti S, Frigerio M, Bongiorni MG, Soldati E, Segreti L, Zucchelli G, Di Cori A, De Lucia R, Viani S, Paperini L, Boem A, Levorato D, Kutarski A, Malecka B, Zabek A, Czajkowski M, Chudzik M, Kutarski A, Mitkowski P, Maciag A, Kempa M, Golzio PG, Fanelli A, Vinci M, Pelissero E, Morello M, Grosso Marra W, Gaita F, Kutarski A, Czajkowski M, Pietura R, Golzio PG, Vinci M, Pelissero E, Fanelli A, Ferraris F, Gaita F, Cuypers JAAE, Menting ME, Opic P, Utens EMWJ, Van Domburg RT, Helbing WA, Witsenburg M, Van Den Bosch AE, Bogers AJJC, Roos-Hesselink JW, Van Der Linde D, Takkenberg JJM, Rizopoulos D, Heuvelman HJ, Witsenburg M, Budts W, Van Dijk APJ, Bogers AJJC, Oechslin EN, Roos-Hesselink JW, Diller GP, Kempny A, Liodakis E, Alonso-Gonzalez R, Orwat S, Dimopoulos K, Swan L, Li W, Gatzoulis MA, Baumgartner H, Andrade AC, Voges I, Jerosch-Herold M, Pham M, Hart C, Hansen T, Kramer HH, Rickers C, Kempny A, Wustmann K, Borgia F, Dimopoulos K, Uebing A, Piorkowski A, Yacoub MH, Gatzoulis MA, Swan L, Diller GP, Mueller J, Weber R, Pringsheim M, Hoerer J, Hess J, Hager A, Hu K, Liu D, Niemann M, Herrmann S, Cikes M, Stoerk S, Knob S, Ertl G, Bijnens B, Weidemann F, Mornos C, Cozma D, Dragulescu D, Ionac A, Mornos A, Petrescu L, Mingo S, Ruiz Bautista L, Monivas Palomero V, Prados C, Maiz L, Giron R, Martinez M, Cavero Gibanel MA, Segovia J, Pulpon L, Kato H, Kubota S, Takasawa Y, Kumamoto T, Iacoviello M, Puzzovivo A, Forleo C, Lattarulo MS, Monitillo F, Antoncecchi V, Malerba G, Marangelli V, Favale S, Ruiz Bautista L, Mingo S, Monivas V, Segovia J, Prados C, Maiz L, Giron R, Martinez MT, Gonzalez Estecha M, Alonso Pulpon LA, Ren B, De Groot-De Laat L, Mcghie J, Vletter W, Ten Cate F, Geleijnse M, Looi JL, Lam YY, Yu CM, Lee PW, Apor A, Sax B, Huttl T, Nagy A, Kovacs A, Merkely B, Vecera J, Bartunek J, Vanderheyden M, Mertens P, Bodea O, Penicka M, Biaggi P, Gaemperli O, Corti R, Gruenenfelder J, Felix C, Bettex D, Datta S, Jenni R, Tanner F, Herzog B, Fattouch K, Murana G, Castrovinci S, Sampognaro R, Bertolino EC, Caccamo G, Ruvolo G, Speziale G, Lancellotti P. Saturday, 25 August 2012. Eur Heart J 2012. [DOI: 10.1093/eurheartj/ehs280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Burgess S, Thompson SG, Burgess S, Thompson SG, Andrews G, Samani NJ, Hall A, Whincup P, Morris R, Lawlor DA, Davey Smith G, Timpson N, Ebrahim S, Ben-Shlomo Y, Davey Smith G, Timpson N, Brown M, Ricketts S, Sandhu M, Reiner A, Psaty B, Lange L, Cushman M, Hung J, Thompson P, Beilby J, Warrington N, Palmer LJ, Nordestgaard BG, Tybjaerg-Hansen A, Zacho J, Wu C, Lowe G, Tzoulaki I, Kumari M, Sandhu M, Yamamoto JF, Chiodini B, Franzosi M, Hankey GJ, Jamrozik K, Palmer L, Rimm E, Pai J, Psaty B, Heckbert S, Bis J, Anand S, Engert J, Collins R, Clarke R, Melander O, Berglund G, Ladenvall P, Johansson L, Jansson JH, Hallmans G, Hingorani A, Humphries S, Rimm E, Manson J, Pai J, Watkins H, Clarke R, Hopewell J, Saleheen D, Frossard R, Danesh J, Sattar N, Robertson M, Shepherd J, Schaefer E, Hofman A, Witteman JCM, Kardys I, Ben-Shlomo Y, Davey Smith G, Timpson N, de Faire U, Bennet A, Sattar N, Ford I, Packard C, Kumari M, Manson J, Lawlor DA, Davey Smith G, Anand S, Collins R, Casas JP, Danesh J, Davey Smith G, Franzosi M, Hingorani A, Lawlor DA, Manson J, Nordestgaard BG, Samani NJ, Sandhu M, Smeeth L, Wensley F, Anand S, Bowden J, Burgess S, Casas JP, Di Angelantonio E, Engert J, Gao P, Shah T, Smeeth L, Thompson SG, Verzilli C, Walker M, Whittaker J, Hingorani A, Danesh J. Bayesian methods for meta-analysis of causal relationships estimated using genetic instrumental variables. Stat Med 2010; 29:1298-311. [PMID: 20209660 DOI: 10.1002/sim.3843] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Genetic markers can be used as instrumental variables, in an analogous way to randomization in a clinical trial, to estimate the causal relationship between a phenotype and an outcome variable. Our purpose is to extend the existing methods for such Mendelian randomization studies to the context of multiple genetic markers measured in multiple studies, based on the analysis of individual participant data. First, for a single genetic marker in one study, we show that the usual ratio of coefficients approach can be reformulated as a regression with heterogeneous error in the explanatory variable. This can be implemented using a Bayesian approach, which is next extended to include multiple genetic markers. We then propose a hierarchical model for undertaking a meta-analysis of multiple studies, in which it is not necessary that the same genetic markers are measured in each study. This provides an overall estimate of the causal relationship between the phenotype and the outcome, and an assessment of its heterogeneity across studies. As an example, we estimate the causal relationship of blood concentrations of C-reactive protein on fibrinogen levels using data from 11 studies. These methods provide a flexible framework for efficient estimation of causal relationships derived from multiple studies. Issues discussed include weak instrument bias, analysis of binary outcome data such as disease risk, missing genetic data, and the use of haplotypes.
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