Cardiac Shock in Patients Hospitalized for Acute Myocardial Infarction
Notice bibliographique
Résumé
Introduction: There is a paucity of data on in-hospital outcomes and mortality in individuals with myocardial infarction (MI) complicated by cardiogenic shock (CS). However, this complication greatly affects prognosis amongst other factors and is a fairly common concern. We aim to add to the existing body of knowledge in this regard. Methods and Results: Patients with MI admitted from January 1, 2005, to December 31, 2014, were identified from the US National Inpatient Sample. We reported the crude and adjusted trends of in-hospital mortality among the population and selected subgroups. Among 73,573,571 hospitalizations spanning from January 1, 2005, to December 31, 2014, 1,208,029 (1.65%) were attributed to MI. Of these, the number of hospitalized individuals admitted primarily for myocardial infarction with a secondary diagnosis of CS (MICS) was 60,661 (5.02%), 62% (37,885) of which were men. The prevalence by racial ethnicity was 76.13% (39,282) whites, 7.51% (3873) blacks, and (4239) 8.22% Asians. The mean age of all affected with MICS was 68.6 years (SD=13.2). The mortality outcome of the 60661 affected was 21283, i.e., 35.10% mortality. There has been a steady increase in hospitalizations in individuals with myocardial infarction and a secondary diagnosis of cardiogenic shock from 68 per 100 000 hospitalizations in 2005 to 103 per 100 000 hospitalizations in 2014 (p =0.001), it showed 9% vs. 12.2% increase (p =0.001). Of the people that died from MICS, 76.30% (13,754) were white, and Asians and blacks were 8.38% (1,510) and 7.54% (1,359). However, there was no statistical significance in racial differences as p =0.33. Mortality across the various hospital regions showed no statistical significance, p =0.88. However, the mortality among patients with MICS in the in-hospital setting decreased (from 40.80% (2226/5456) in 2005 to 33.70% (2456/7288) in 2014; p =0.001). The mean length of stay (LOS) trend decreased from 9.14 days (SD=10.6) in 2010 to 8.88 days (SD=10.6) in 2013 (p =0.001). There was, however, an upsurge in total hospital charges (CRG) from $147,727 (SD=153,847) in 2010 to $172,357 (SD=201,168) in 2013 (p =0.001). Weekend or weekday admission showed no significant difference in mortality outcome, 73.01% (44,263) vs. 26.99% (16,363) (p =0.18). The adjusted rate for mortality by month revealed that there was a significant increase in in-hospital mortality in December and January (p =0.005). There was a significant difference among patients with congestive cardiac failure (CCF), p =0.001, but type 2 diabetes (T2DM) did not significantly affect the mortality outcomes of these patients. Conclusions: Hospitalizations attributed to MICS rose significantly from January 2005 to December 2014. Our study delineated a decline in MICS in-hospital mortality during this period. Furthermore, a general increase in mortality during December and January was observed in the studied population.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».