Development of pancreatic injuries in the course of COVID-19

BACKGROUND AND STUDY AIMS

To investigate the clinical and laboratory characteristics of the cases with high lipase levels in the course of COVID-19.

PATIENTS AND METHODS

Hospital records of all cases, where lipase levels were measured, and the reverse transcriptase-polymerase chain reaction test due to SARS-CoV-2 was found positive, were retrospectively investigated. Of 127 COVID-19 patients tested for lipase, 20 (15.7%) had serum lipase levels above the upper laboratory limit. The patient group with the "high lipase level" was created from these subjects, and the rest constituted the "control" group.

RESULTS

While body mass index (BMI) levels were higher in the high lipase group, (p=0.014), the number of those with pre-existing diabetes mellitus (DM) was also found higher in the high lipase group than the controls (p=0.002). The history of DM was detected to increase the risk of developing high lipase level 4.63 times higher. Only two patients were diagnosed with acute pancreatitis (AP). While oxygen saturations on admission (p=0.019) and discharge (p=0.011) were lower in the high lipase group than the controls, amylase (p<0.001), C-reactive protein (CRP) (p=0.002) and D-dimer (p=0.004) levels were found higher. In addition, more patients required the treatment in intensive care unit in the high lipase group, compared to the controls (p=0.027). Accordingly, time of hospital stay became also prolonged (p=0.003).

CONCLUSIONS

Pancreatic injuries or even AP may develop during SARS-CoV-2 infection, especially in those with pre-existing DM. Monitoring of pancreatic enzymes is important in COVID-19 patients, especially with pre-existing DM.

Compositional and contextual factors associated with drug overdose deaths in the United States

Background: In 2017, the US Department of Health and Human Services declared the Opioid epidemic a public health emergency. In the US, emergency rooms treat more than 1,000 people each day for drug overdose, and 115 of them die. This study examines compositional and contextual factors associated with drug overdose deaths rates in the US. Methods: Local spatial autocorrelation statistics were used to estimate hot spot areas to identify census tracts with high risk of drug overdose death. Logistic regressions investigated the relationship between drug overdose death rates and various compositional and contextual variables across census tracks. Results: The adjusted logistic model shows that compositional variables: depression (OR = 2.47 [2.37-2.58]), poor mental health (OR = 1.71 [1.63-1.79]), median age 1.41 (1.36-1.47) and the percentage of people with a high school diploma (OR = 1.30 [1.24-1.35]) were positively associated with the rate of drug overdose deaths. On the other hand, contextual variables: the percentage having health insurance (OR = 0.66 [0.64-0.69]), the Theil's H index (OR = 0.69 [0.66-0.71]), population density (OR = 0.80 [0.77-0.84]), poverty (OR = 0.90 [0.86-0.95]), and median household income (OR = 0.91[0.86-0.96]) were negatively associated with drug overdose deaths. Discussion: The analysis reveals a consistently strong association between compositional mental health factors and census tract-level death rates from drug overdose.

Memphis FitKids: implementing a mobile-friendly web-based application to enhance parents' participation in improving child health

Background

Child obesity is a major public health challenge, increasing the risk of chronic medical conditions such as type 2 diabetes, metabolic syndrome, and hypertension. Among U.S. states, Tennessee has one of the highest rates of child obesity. Emerging communication technologies can help to deliver highly disseminable population-level interventions to improve health behavior. The aim of this paper is to report the implementation and the evaluation of the reach of Memphis FitKids, a web-based application, intended to promote healthy behaviors for families and children.

Methods

A community-level demonstration project, Memphis FitKids, was developed and implemented in Tennessee’s Greater Memphis Area. This application (www.memphisfitkids.org) was designed for parents to assess their children’s obesity risk through determinants such as weight, diet, physical activity, screen time, and sleep adequacy. A built-in “FitCheck” tool used this collected information to create a report with tailored recommendations on how to make healthy changes. A Geographic Information Systems component was implemented to suggest low-cost neighborhood resources that support a healthy lifestyle. A social marketing framework was used to develop and implement FitKids, and a Community Advisory Board with representatives from community partners (e.g., the YMCA of Memphis, the Pink Palace Family of Museums, and the Memphis Public Library) supported the implementation of the project. Five kiosks distributed in the community served as public access points to provide a broad reach across socioeconomic strata. Presentations at community events and the use of Facebook facilitated the promotion of FitKids. Website traffic and Facebook usage were evaluated with Google Analytics and Facebook Insights, respectively.

Results

In Tennessee, 33,505 users completed 38,429 FitCheck sessions between July 2014 and December 2016. Among these, 6763 sessions were completed at the five kiosks in the community. FitKids was presented at 112 community events and the social media posts reached 23,767 unique Facebook users.

Conclusions

The Memphis FitKids demonstration project showed that web-based health tools may be a viable strategy to increase access to information about healthy weight and lifestyle options for families. Mobile-friendly web-based applications like Memphis FitKids may also serve health professionals in their efforts to support their clients in adopting healthy behaviors.

Electronic supplementary material

The online version of this article (10.1186/s12889-018-5968-6) contains supplementary material, which is available to authorized users.

Exploring childhood lead exposure through GIS: a review of the recent literature

Childhood exposure to lead remains a critical health control problem in the US. Integration of Geographic Information Systems (GIS) into childhood lead exposure studies significantly enhanced identifying lead hazards in the environment and determining at risk children. Research indicates that the toxic threshold for lead exposure was updated three times in the last four decades: 60 to 30 micrograms per deciliter (µg/dL) in 1975, 25 µg/dL in 1985, and 10 µb/dL in 1991. These changes revealed the extent of lead poisoning. By 2012 it was evident that no safe blood lead threshold for the adverse effects of lead on children had been identified and the Center for Disease Control (CDC) currently uses a reference value of 5 µg/dL. Review of the recent literature on GIS-based studies suggests that numerous environmental risk factors might be critical for lead exposure. New GIS-based studies are used in surveillance data management, risk analysis, lead exposure visualization, and community intervention strategies where geographically-targeted, specific intervention measures are taken.