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Enregistrement W2977485976 · doi:10.1182/blood-2018-99-116891

Trends in Vital Signs in Relation to Patient Outcomes during Induction Phase in Treatment of Acute Leukemia

2018· article· en· W2977485976 sur OpenAlexaff
Katharine McLaughlin, Amanda Stojcevski, Abdulkadir Hussein, Indryas Woldie, Caroline Hamm

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueNeutropenia and Cancer Infections
Établissements canadiensWindsor Regional HospitalUniversity of WindsorWestern University
Organismes subventionnairesnon disponible
Mots-clésMedicineInduction chemotherapyIntensive care unitAcute leukemiaAmbulatoryChemotherapyLeukemiaEmergency medicineInternal medicinePediatrics

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction Windsor Regional Hospital (WRH) treats approximately 17 patients per year with acute myeloid leukemia (AML). During the induction phase, patients remain at WRH for about four weeks. While hospitalized, patients are monitored and vitals are taken every 4-12 hours. Despite this, mortality in patients treated for acute leukemia is as high as 60% depending on patient factors and diagnosis (Garcia et al., 2013). Hypothesis and Rationale Studies have shown that patients with AML who are admitted to the intensive care unit (ICU) earlier have better outcomes than those admitted later (Lengliné et al., 2012). The correlation between patient's vitals and ICU admission would show if better patient outcomes could result from more frequent monitoring. Data and results will be used in a pilot project testing wireless outpatient monitoring technology for patients with acute leukemia. Methods A retrospective chart review was conducted of patients diagnosed with AML during 2015 - 2017. Patients were included in the ICU group if they were admitted to the ICU during induction chemotherapy and excluded if they were admitted to the ICU prior to induction. The control group consisted of patients who had undergone induction and were not admitted to the ICU. Data Analysis Vital signs were analyzed over the 24 hours prior to ICU admission for the ICU group, and over the 24 hour period 5 days post-induction chemotherapy for the control group. This time period was chosen as it was the average number of days post-chemotherapy that patients were admitted to the ICU. An unpaired T-test was done to compare the number of vitals recorded in the 24 hour period between both groups, and a one-way ANOVA was done to compare the proportion of missed vitals within the ICU group. Results Sample size of ICU group, n=7. Mean age at diagnosis = 51. Sample size of Control group, n=30. Mean age at diagnosis = 63. Statistically there was no difference in age between the two groups. During the 24 hours prior to ICU admission, respiratory rate (RR) and fraction of inspired oxygen (FiO2) demonstrated the greatest changes in patients compared to temperature (T), blood pressure (BP), heart rate (HR) and oxygen saturation (O2Sat). The average number of vitals taken in the 24 hours prior to ICU admission was 8.86. The average number of vitals taken in a 24 hour period five days post-induction chemotherapy in control patients was 2.67. No significant differences in number of vital signs were observed between the groups during these periods when compared using a two-tailed T-test assuming unequal variances (p=0.07). Isolated missed vital signs were recorded as a percentage of total vital signs taken in the 24 hours prior to ICU admission. Average percentage of missed vital signs are as follows: T, 43.6%, BP, 16.8%, RR, 30%, HR, 19.3%, O2Sat, 15.2%. Reasons for ICU admission were recorded and the results were as follows: 85.71% respiratory issues, 57.14% infection, 14.29% cardiac issues and 14.29% nephrology issues. Discussion In the 24 hours prior to ICU admission, T, HR and BP did not significantly change in patients. Therefore, changes in these vital signs may not accurately predict if an AML patient will be admitted to the ICU. In the same patients, an increase in RR and, particularly, FiO2, often occurred in the 24 hours prior to admission. This suggests an increase in RR or FiO2 may be predictive of ICU admission during induction chemotherapy. The average number of vital signs taken was not significantly different between the ICU and control groups. However, this could have been due to small sample size of the ICU group resulting in a large variance between the patients. Although the difference was not statistically significant, RR was recorded the least in the 24 hours prior to ICU admission when compared to HR, BP and O2Sat. T was excluded as it is not recorded on ICU consults. Recording RR more often may be able to better help health teams recognize which patients need to be admitted to the ICU and admit them promptly which will lead to improved survival. Reason for ICU admission was predominantly related to respiratory failure, highlighting the need for increased measurement of related vital signs such as RR and O2Sat. Conclusion RR and FiO2 demonstrated the greatest changes in the 24 hours prior to a patient with acute leukemia being admitted to the ICU. Therefore, greater attention needs to be taken to monitor this parameter both in the inpatient setting and the outpatient setting. Disclosures No relevant conflicts of interest to declare.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,007
Score d'incertitude au seuil0,014

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,022
Tête enseignante GPT0,320
Écart entre enseignants0,298 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

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