The Significance of Hematologic Indices in Patients with Heart Failure
Notice bibliographique
Résumé
The leading cause of death worldwide is coronary heart disease (CHD). In patients with chronic heart failure, hemographic markers have been associated with clinical outcomes. Hemographic indices, or measures of white blood cells, are easy and useful, clear and simple predictors of both subclinical and systemic inflammation. Methods:A retrospective study was conducted on the hospitalized patient for HF from April 2019- May 2020. Total 170 patients were enrolled in current study. The inclusion criteria of the study was patients above 18 years, hospitalized patient for HF, having an EF< 40% and having two or more symptoms of HF as well as be discharged alive from the hospital. The hemograhic indices were taken for each patient at the time of admission. The hemographic indices were defined as WBC count, neutrophil count, RL, NLR, and PLR. The neutrophil-platelet ratio (NLR) and the platelet-lymphocyte ratio (PLR) were derived as the ratios of neutrophil and platelet counts to lymphocyte counts, respectively. The entire test was performed by the hospital biochemistry lab under standard protocol. Patients were followed till six months. At the time of admission complete medical history and hemographic indices was recorded. Data was entered and analyzed using SPSS 25.0. The quantitative variables were presented by mean and standard deviation and qualitative with frequency/percentages. All the qualitative variables were compared among both by using Chi-square test and all quantitative variables by independent sample t test. The p-value less than 5% were considered as significant. Results:Total 170 patients were enrolled in current study among which 123(72.3%) survived and 47(27.64%) were died during 6 month follow up. The mean age among survived were 57.55+7.5 and dead was 59.96+7.9 (P-value= 0.06). According to gender male have dominance, in survived patients there were 98(79.7%) and in dead 38(80.9%) males (P-value= 0.86). 53(43.1%) patients were smokers in survived patients and 27(57.4%) in dead (P-value= 0.09). Status of comorbidities showed that the diabetes mellitus showed quite common among groups. The neutrophil count, WBC, lymphocyte count and NLR were elevated in deceased patients. The Platelet counts and hemoglobin levels were low in deceased. Conclusion: It was concluded from current study that the increased neutrophil count, WBC, lymphocyte count and NLR were associated with the mortality of HF patients
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 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».