Predictors of clinical severity in subjects attending the Emergency Department for substance use: A ten-year cross-sectional study

Objective. Identify which biomarkers performed in the first emergency analysis help to stratify COVID-19 patients according to mortality risk. Method. Observational, descriptive and cross-sectional study performed with data collected from patients with suspected COVID-19 in the Emergency Department from February 24 to March 16, 2020. The univariate and multivariate study was performed to find independent mortality markers and calculate risk by building a severity score. Results. A total of 163 patients were included, of whom 33 died and 29 of them were positive for the COVID-19 PCR test. We obtained as possible factors to conform the Mortality Risk Score age> 75 years ((adjusted OR = 12,347, 95% CI: 4,138-36,845 p = 0.001), total leukocytes> 11,000 cells / mm3 (adjusted OR = 2,649, 95% CI: 0.879-7.981 p = 0.083), glucose> 126 mg / dL (adjusted OR = 3.716, 95% CI: 1.247-11.074 p = 0.018) and creatinine> 1.1 mg / dL (adjusted OR = 2.566, 95% CI: 0.889- 7.403, p = 0.081) This score was called COVEB (COVID, Age, Basic analytical profile) with an AUC 0.874 (95% CI: 0.816-0.933, p <0.001; Cut-off point = 1 (sensitivity = 89.66 % (95% CI: 72.6% -97.8%), specificity = 75.59% (95% CI: 67.2% -82.8%). A score <1 has a negative predictive value = 100% (95% CI: 93.51% -100%) and a positive predictive value = 18.59% (95% CI: 12.82% -25.59%). Conclusions. Clinical severity scales, kidney function biomarkers, white blood cell count parameters, the total neutrophils / total lymphocytes ratio and procalcitonin are early risk factors for mortality. The variables age, glucose, creatinine and total leukocytes stand out as the best predictors of mortality. A COVEB score <1 indicates with a 100% probability that the patient with suspected COVID-19 will not die in the next 30 days.

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Cross-Sectional Study of Risky Substance Use by Injured Emergency Department Patients

Western Journal of Emergency Medicine ◽

10.5811/westjem.2017.1.32180 ◽

2017 ◽

Vol 18 (3) ◽

pp. 345-348 ◽

Cited By ~ 3

Author(s):

Valerie Strezsak ◽

Janette Baird ◽

Christina S. Lee ◽

Michael J. Mello

Keyword(s):

Emergency Department ◽

Substance Use ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Emergency Department Patients

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Knowledge, attitudes, and practices of Cameroonian physicians with regards to acute pain management in the emergency department: a multicenter cross-sectional study

BMC Emergency Medicine ◽

10.1186/s12873-019-0260-3 ◽

2019 ◽

Vol 19 (1) ◽

Author(s):

Paul Owono Etoundi ◽

Junette Arlette Metogo Mbengono ◽

Ferdinand Ndom Ntock ◽

Joel Noutakdie Tochie ◽

Dominique Christelle Anaba Ndom ◽

...

Keyword(s):

Emergency Department ◽

Pain Management ◽

Acute Pain ◽

Cross Sectional Study ◽

Sectional Study ◽

Acute Pain Management ◽

Cross Sectional ◽

Attitudes And Practices ◽

Knowledge Attitudes And Practices

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Using malnutrition and food insecurity screening to identify broader health‐related social needs amongst older adults receiving emergency department care in the Southeastern United States: A cross‐sectional study

Health & Social Care in the Community ◽

10.1111/hsc.13367 ◽

2021 ◽

Author(s):

Aileen F. Aylward ◽

Jessa Engelberg Anderson ◽

Andrea Morris ◽

Montika Bush ◽

Brenda Schmitthenner ◽

...

Keyword(s):

United States ◽

Older Adults ◽

Emergency Department ◽

Southeastern United States ◽

Cross Sectional Study ◽

Social Needs ◽

Sectional Study ◽

Cross Sectional ◽

Emergency Department Care ◽

Health Related

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Diabetic Ketoacidosis at Emergency Department Presentation During the First Months of the SARS-CoV-2 Pandemic in Israel: A Multicenter Cross-Sectional Study

Diabetes Therapy ◽

10.1007/s13300-021-01049-3 ◽

2021 ◽

Author(s):

Ron Jacob ◽

Giora Weiser ◽

Danna Krupik ◽

Dania Takagi ◽

Shuny Peled ◽

...

Keyword(s):

Emergency Department ◽

Diabetic Ketoacidosis ◽

Cross Sectional Study ◽

Emergency Department Presentation ◽

Sectional Study ◽

Cross Sectional

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A cross-sectional study to identify the determinants of non-communicable diseases among fishermen in Southern India

BMC Public Health ◽

10.1186/s12889-021-10376-w ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Akhila Doddamani ◽

A. B. Kirthinath Ballala ◽

Sharath P. Madhyastha ◽

Asha Kamath ◽

Muralidhar M. Kulkarni

Keyword(s):

Risk Factors ◽

Substance Use ◽

Waist Circumference ◽

Cross Sectional Study ◽

Modifiable Risk Factors ◽

Sectional Study ◽

Cross Sectional ◽

Non Communicable Diseases ◽

Dietary Practice ◽

The Mean

Abstract Background India is currently facing a rising epidemic of Non-Communicable Diseases (NCDs). Identification of modifiable risk factors is of paramount importance to curb this menace. Fishermen are one of the most vulnerable occupational groups with unique characteristics that make them prone to acquire NCDs, as a significant share of their life is spent at sea. Hence, this study was planned to ascertain the burden of NCDs, determine various risk factors of NCDs, and measure the association between risk factors and NCDs among fishermen of Coastal Karnataka in South India. Methods A cross-sectional study was conducted among 681 fishermen aged 18 years and above as per the semi-structured interview schedule for two years (2017–2019). A convenience sampling strategy was adopted. The data was entered and analyzed using SPSS v.15.0. The results were described in terms of proportions and their 95% confidence intervals. Continuous data were summarized using the mean and standard deviation or median and interquartile range depending on the skewness of data. Chi-square test was used to study the association between NCDs and modifiable risk factors. Multiple logistic regression was used to identify risk factors of NCDs. Results The mean (SD) age of the population was 42.5 (SD 12.5) years. The mean years involved in fishing was 19.8 years (SD 10.9). More than half (59.5%) of the study participants had severe stress and most (80.3%) were ever substance users. Advancing age, not being able to contact family while at sea, poor dietary practice, ever substance use, increasing waist circumference were significant correlates of NCDs. Conclusions The commonly prevalent risk factors of NCDs among fishermen included poor dietary practice, higher stress levels, substance use, increasing waist circumference, and inability to contact with family while at sea. Hypertension and Diabetes were the two common NCDs in the study population. There is a need for immediate attention in managing NCDs’ risk factors by promoting a healthy lifestyle by primary health care providers through a sustainable community awareness program targeting fishermen at a convenient time and location, either at the sea-port or meeting places. Harmful effects of substance use, healthy dietary practices, and the importance of physical activity outside their job need emphasis. In addition, screening programs should be organized with the help of boat owners and fishing associations at-least once a year to pick up NCDs at an early stage.

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