Patterns of the Demographics, Clinical Characteristics, and Resource Utilization Among Maternal Decedents in Texas, 2001 - 2010: A Population-Based Cohort Study
Notice bibliographique
Résumé
BACKGROUND: Contemporary reporting of maternal mortality is focused on single, mutually exclusive causes of death among a minority of maternal decedents (pregnancy-related deaths), reflecting initial events leading to death. Although obstetric patients are susceptible to the lethal effects of downstream, more proximate contributors to death and to conditions not caused or precipitated by pregnancy, the burden of both categories and related patients' attributes is invisible to clinicians and healthcare policy makers with the current reporting system. Thus, the population-level demographics, clinical characteristics, and resource utilization associated with pregnancy-associated deaths in the United States have not been adequately characterized. METHODS: We used the Texas Inpatient Public Use Data File to perform a population-based cohort study of the patterns of demographics, chronic comorbidity, occurrence of early maternal demise, potential contributors to maternal death, and resource utilization among maternal decedents in the state during 2001 - 2010. RESULTS: There were 557 maternal decedents during study period. Chronic comorbidity was reported in 45.2%. Most women (74.1%) were admitted to an ICU. Hemorrhage (27.8%), sepsis (23.5%), and cardiovascular conditions (22.6%) were the most commonly reported potential contributing conditions to maternal death, varying across categories of pregnancy-associated hospitalizations. More than one condition was reported in 39% of decedents. One in three women died during their first day of hospitalization, with no significant change over the past decade. The mean hospital length of stay was 7.9 days and total hospital charges were $250,000 or higher in 65 (11.7%) women. CONCLUSIONS: The findings of the high burden of chronic illness, patterns of occurrence of a broad array of potential contributing conditions to pregnancy-associated death, and the resource-intensive needs of a large contemporary population-based cohort of maternal decedents may better inform preventive and intervention measures at the bedside and as healthcare policy priorities. The prevalent and unchanged occurrence of rapid maternal demise following presentation for hospitalization supports a special focus on means to identify and effectively address front-line clinician- and healthcare system-related performance areas that can improve maternal outcomes. The common reporting of more than one potential contributing condition underscores the complexity of determination of causes of maternal death.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».