Location of death among patients presenting with cardiovascular disease to the emergency department in the United states

Dynamic changes of emergency visits: a retrospective observational study

BACKGROUND

With more emergency visits, there is increasing pressure to provide emergency medical services globally and locally. This study aimed to investigate the epidemiological characteristics and the disease spectrum of patients presenting in the last three years to the Department of Emergency Medicine of Tianjin Medical University General Hospital, a tertiary hospital in Tianjin, China, to improve the services of the emergency medicine department.

METHODS

A retrospective study was conducted on all patients in the Department of Emergency Medicine of Tianjin Medical University General Hospital from Jan 1, 2017, 00:00:00 to Dec 31, 2020, 23:59:59, including variables like medical record number, gender, age, date of admission, principal diagnosis. The data were analyzed by SPSS statistical software; statistical charts were prepared by GraphPad Prism9.0 and SPSS 20.0; statistical tables were made by Microsoft Excel.

RESULTS

A total of 1,314,916 patients presented to the Department of Emergency Medicine of Tianjin Medical University General Hospital from Jan 1, 2017, 00:00:00 to Dec 31, 2020, 23:59:59. In terms of gender distribution, the male-female ratio was 0.78∶1. As for age distribution, patients aged 60-69 were the most (23.47%), and patients younger than 20 years were the least (2.80%). Concerning monthly data, the number of visits peaked during January and December. The distribution of daily visits showed the feature of three highs and a low. The top three prevalence diseases in the emergency disease spectrum were respiratory, cardiovascular, and digestive diseases. The respiratory system was the most common in patients with infectious diseases (200,912, accounting for 86.97%). Among the patients suffering from infectious diseases, the number of patients with respiratory infections peaked in 2019 (73,530) and was the lowest in 2020 (20,078).

CONCLUSIONS

From 2017 to 2019, the demand for emergency services in Tianjin Medical University General Hospital continued to increase, but it was greatly affected by COVID-19 in 2020. This emergency department is mainly for patients with respiratory system, circulatory system and digestive system diseases, and its treatment time is relatively centralized. The prevention of diseases for people of all ages, especially female patients and the elderly, should be strengthened, and emergency medical resources should be allocated reasonably according to the peak months and crowed periods of patients.

Impact of malignancy on In-hospital mortality, stratified by the cause of admission: An analysis of 67 million patients from the National Inpatient Sample

OBJECTIVE

To describe the patient characteristics and the reason for admission of patients with malignancy by malignancy, and to study mortality rates for the different causes of admissions among the different types of cancer.

PATIENTS AND METHODS

Using the nationwide Inpatient Sampling (2015-2017) we examined the cause of admission and associated in-hospital mortality, stratified by presence and type of malignancy. Multivariable logistic regression models were used to examine the association between in-hospital mortality and malignancy sites for different primary admission causes.

RESULTS

Out of 67 819 693 inpatient admissions, 8.8% had malignancy. Amongst those with malignancy, haematological malignancy was the most common (20.2%). The most common cause of admission amongst all cancers were malignancy-related admissions, where up to 57% of all colorectal admissions were malignancy-related. The most common non-malignancy cause of admission was infectious causes, which were most frequent among patients with haematological malignancy (18.4%). Patients with malignancy had higher crude mortality rates (5.7% vs 1.9%). Mortality rates were highest among patients with lung cancer (8.7%). Among all admissions, the adjusted rates of mortality were higher for patients with lung (OR 3.65, 95% CI [3.59-3.71]), breast (OR 2.06, 95% CI [1.99-2.13]), haematological (OR 1.79, 95% CI [1.76-1.82]) and colorectal (OR 1.71, 95% CI [1.66-1.76]) malignancies compared with patients with no malignancy.

CONCLUSION

Our work highlights the need to consider the burden of cancer on our hospital services and consider how the prognostic impact of different types of admissions may relate to the type of cancer diagnosis and understand whether these differences relate to disparities in clinical care/treatments.