scholarly journals Development of the “POP” scoring system for predicting obstetric and gynecological diseases in the emergency department: a retrospective cohort study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Asami Okada ◽  
Yohei Okada ◽  
Hiroyuki Fujita ◽  
Ryoji Iiduka
Keyword(s):  
Emergency Department ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Scoring System ◽  
Retrospective Cohort ◽  
Gynecological Diseases

scholarly journals Development of the “POP” scoring system for predicting obstetric and gynecological diseases in the emergency department: A retrospective cohort study

2020 ◽  
Author(s):  
ASAMI OKADA ◽  
Yohei Okada ◽  
Hiroyuki Fujita ◽  
Ryoji Iiduka
Keyword(s):  
Emergency Department ◽  
Cohort Study ◽  
Abdominal Pain ◽  
Likelihood Ratio ◽  
Retrospective Cohort Study ◽  
Scoring System ◽  
Retrospective Cohort ◽  
Acute Abdominal Pain ◽  
Positive Likelihood Ratio ◽  
Female Patients

Abstract Background: Obstetric and gynecological (OBGY) diseases are among the most important differential diagnoses for young women with acute abdominal pain. However, there are few established clinical prediction rules for screening OBGY diseases in the emergency department (ED). This study aimed to develop a prediction model for diagnosing OBGY diseases in the ED.Methods: This single-center retrospective cohort study included female patients with acute abdominal pain who presented to our emergency department. We developed a logistic regression model for predicting OBGY diseases and assessed its diagnostic ability. This study included young female patients aged between 16 and 49 years old, who had abdominal pain and were examined at the ED from April 2017 to March 2018. Trauma patients and patients referred from another hospital or from the OBGY department of our hospital were excluded.Results: Of 27,991 patients, 740 were included. Sixty-five patients were diagnosed with OBGY diseases (8.8%). The "POP" scoring system [past history of OBGY diseases +1, no other symptoms +1, and peritoneal irritation signs +1] was developed. Cut-off values set between 0 and 1 points, sensitivity at 97%, specificity at 39%, and negative likelihood ratio (LR-) of 0.08 were considered for rule-out, while cut-off values set between 2 and 3 points, sensitivity at 23%, specificity at 99%, and positive likelihood ratio (LR+) of 17.29 were suitable for rule-in.Conclusions: Our "POP" scoring system can be useful for screening of OBGY diseases in the ED.

scholarly journals Predicting mortality in patients with suspected sepsis at the Emergency Department; A retrospective cohort study comparing qSOFA, SIRS and National Early Warning Score

PLoS ONE ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. e0211133 ◽  
Author(s):  
Anniek Brink ◽  
Jelmer Alsma ◽  
Rob Johannes Carel Gerardus Verdonschot ◽  
Pleunie Petronella Marie Rood ◽  
Robert Zietse ◽  
...  
Keyword(s):  
Emergency Department ◽  
Cohort Study ◽  
Early Warning ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Early Warning Score ◽  
Suspected Sepsis ◽  
National Early Warning Score

scholarly journals Performance of the Manchester triage system in older emergency department patients: a retrospective cohort study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Steffie H. A. Brouns ◽  
Lisette Mignot-Evers ◽  
Floor Derkx ◽  
Suze L. Lambooij ◽  
Jeanne P. Dieleman ◽  
...  
Keyword(s):  
Emergency Department ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Triage System ◽  
Manchester Triage System ◽  
Emergency Department Patients

scholarly journals Organisational Factors Induce Prolonged Emergency Department Length of Stay in Elderly Patients – A Retrospective Cohort Study

PLoS ONE ◽  
2015 ◽  
Vol 10 (8) ◽  
pp. e0135066 ◽  
Author(s):  
Steffie H. A. Brouns ◽  
Patricia M. Stassen ◽  
Suze L. E. Lambooij ◽  
Jeanne Dieleman ◽  
Irene T. P. Vanderfeesten ◽  
...  
Keyword(s):  
Emergency Department ◽  
Cohort Study ◽  
Length Of Stay ◽  
Elderly Patients ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Organisational Factors

scholarly journals Association of patient-to-emergency department staff ratio with the incidence of cardiac arrest: A retrospective cohort study

2021 ◽  
Keyword(s):  
Emergency Department ◽  
Cardiac Arrest ◽  
Cohort Study ◽  
Length Of Stay ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Medical Center ◽  
Occupancy Rate ◽  
Number Of Patients ◽  
Ed Overcrowding

Background: Emergency department (ED) overcrowding and overuse are global healthcare problems. Despite that substantial pieces of literature have explored quality parameters to monitor the patients’ safety and quality of care in the ED, to the best of our knowledge, no reasonable patient-to-ED staff ratios were established. Objectives: This study aimed to find the association between unexpected emergency department cardiac arrest (EDCA) and the patient-to-ED staff ratio. Methods: A retrospective cohort study was conducted in a medical center in Taiwan. Non-trauma patients (age > 18) who visited the ED from January 1, 2016 to November 30, 2018 were included. The total number of patients in ED, number of patients waiting for boarding, length of stay over 48 hours, and physician/nurse number in ED were collected and analyzed. The primary outcome was the association of each parameter with the incidence of EDCA. Results: A total of 508 patients were included. The total number of patients in ED ( > 361, RR: 1.54; 95% CI {1.239-1.917}), ED occupancy rate (> 280, RR: 1.54; 95% CI {1.245-1.898}), ED bed occupancy rate (> 184, RR: 1.63; 95% CI {1.308-2.034}), number of patients waiting for boarding (> 134, RR: 1.45; 95% CI {1.164-1.805}), number of patients in ED with length of stay over 48 hours (> 36, RR: 1.27; 95% CI {1.029-1.558}) and patient-to-nurse ratio (> 8.5, adjusted RR: 1.33; 95% CI {1.054-1.672}) had significant associations with higher incidence of EDCA. However, the patient-to-physician ratio was not associated with EDCA incidence. Discussions: Regarding loading parameters, the patient-to-nurse ratio is more representative than the patient-to-physician ratio as regards association with higher EDCA incidence. Conclusions: A higher patient-to-nurse ratio (> 8.5) was associated with an increment in the incidence of EDCA. Our findings provide a basis for setting different thresholds for different ED settings to adjust ED staff and develop individually tailored approaches corresponding to the level of ED overcrowding.

scholarly journals The Hanging Chin Sign As A Mortality Predictor In Geriatric Patients At The Emergency Department: A Retrospective Cohort Study

2021 ◽  
Author(s):  
Anneloes NJ Huijgens ◽  
Laurens J van Baardewijk ◽  
Carolina JPW Keijsers
Keyword(s):  
Emergency Department ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Geriatric Patients ◽  
Lateral View ◽  
X Ray ◽  
Hospital Patients ◽  
Chest X Ray

Abstract BACKGROUND: At the emergency department, there is a need for an instrument which is quick and easy to use to identify geriatric patients with the highest risk of mortality. The so- called ‘hanging chin sign’, meaning that the mandibula is seen to project over one or more ribs on the chest X-ray, could be such an instrument. This study aims to investigate whether the hanging chin sign is a predictor of mortality in geriatric patients admitted through the emergency department. METHODS: We performed an observational retrospective cohort study in a Dutch teaching hospital. Patients of ≥ 65 years who were admitted to the geriatric ward following an emergency department visit were included. The primary outcome of this study was mortality. Secondary outcomes included the length of admission, discharge destination and the reliability compared to patient-related variables and the APOP screener.RESULTS: 396 patients were included in the analysis. Mean follow up was 300 days; 207 patients (52%) died during follow up. The hanging chin sign was present in 85 patients (21%). Patients with the hanging chin sign have a significantly higher mortality risk during admission (OR 2.94 (1.61 to 5.39), p < 0.001), within 30 days (OR 2.49 (1.44 to 4.31), p = 0.001), within 90 days (OR 2.16 (1.31 to 3.56), p = 0.002) and within end of follow up (OR 2.87 (1.70 to 4.84),p < 0.001). A chest X-ray without a PA view or lateral view was also associated with mortality. This technical detail of the chest x-ray and the hanging chin sign both showed a stronger association with mortality than patient-related variables or the APOP screener. CONCLUSIONS: The hanging chin sign and other details of the chest x-ray were strong predictors of mortality in geriatric patients presenting at the emergency department. Compared to other known predictors, they seem to do even better in predicting mortality.

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