Evaluation of Automated Alert and Activation of Medical Emergency Team in Head and Neck Cancer Patients Using Early Warning Score at Tertiary Level Hospital in North India. [PDF]
Ahmed M +5 more
europepmc +1 more source
Hospital medical emergency teams and fears of
Joseph Ting
openalex +1 more source
ABSTRACT Aim The National Clinical Database (NCD) of Japan is the largest nationwide registry, covering over 95% of surgeries in the country. This 2022 annual report summarizes the short‐term outcomes of gastroenterological surgeries and discusses trends and insights over the past decade.
Koshi Kumagai +19 more
wiley +1 more source
Impact of hospitalization duration before medical emergency team activation: A retrospective cohort study. [PDF]
Lee J +6 more
europepmc +1 more source
ABSTRACT Background Although prophylactic broad‐spectrum antibiotics can reduce postoperative complications after pancreaticoduodenectomy (PD), the optimal regimen remains uncertain. This study evaluated the impact of prophylactic cefepime (CFPM) on surgical site infection (SSI) and severe morbidity after PD with preoperative biliary drainage.
Genki Watanabe +8 more
wiley +1 more source
DOISNORE50: a perioperative sleep questionnaire predictive of obstructive sleep apnea and postoperative medical emergency team activation. A learning health system approach to sleep questionnaire development and screening. [PDF]
Namen AM +11 more
europepmc +1 more source
This study investigated the surgical outcomes of sequential robot‐assisted hepatobiliary–pancreatic (HBP) in a single operating room. The outcomes and operating room timelines were comparable between the first and second cases. The median turnover time was 49 min, and the day‐shift completion success rate was 34.4%.
Tomokazu Fuji +7 more
wiley +1 more source
Severe Tachycardia Associated with Psychotropic Medications in Psychiatric Inpatients: A Study of Hospital Medical Emergency Team Activation. [PDF]
Lim AKH +7 more
europepmc +1 more source
Medical Emergency Team of the Military Fire Department of Minas Gerais - Benefit for the Local Citizen, Benefit for the Global Citizen [PDF]
Kleber Silveira de Castro +1 more
openalex +1 more source
Threshold‐optimized machine learning models using routine clinical and laboratory data in 623 adults undergoing appendectomy. Logistic regression (AUC = 0.765) and random forest (AUC = 0.785) were the best‐performing models for appendicitis detection and complicated appendicitis prediction, respectively.
Ivan Males +8 more
wiley +1 more source

