Incidence of pressure ulcers in intensive care units and direct costs of treatment: Evidence from Iran

Background and objective

Pressure ulcer (PU) is one of the important and frequent complications of hospitalization, associated with high treatment costs. The present study was conducted to determine the incidence of PU and its direct treatment costs for patients in intensive care unit (ICU) in Iran.

A case of group A streptococcal meningitis following acute otitis media.

Group A streptococcal meningitis is less common than other forms of meningitis; however, the occurrence of this infection is associated with high mortality and morbidity. Early recognition and a prompt treatment are therefore essential. We review one case of an Asian women admitted with group A streptococcal meningitis as a complication of otitis media.     

Transduction of dendritic cells by antigen-encoding lentiviral vectors permits antigen processing and MHC class I-dependent presentation

BACKGROUND: Because antigen-presenting dendritic cells (DCs) play a major role in the polarization of T cells, including T(H)2 cells involved in allergy, strategies to modify DCs genetically are required. OBJECTIVE: The purpose of this investigation was to transduce murine bone marrow-derived DCs with lentiviral vectors encoding antigen to demonstrate antigen processing and MHC class I-dependent presentation. METHODS: Bone marrow leukocytes were incubated with antigen-encoding lentiviral constructs and cultured with GM-CSF, IL-4, and Flt-3 ligand. The capacity of the resulting DCs to express, process, and present antigen was tested in vitro. RESULTS: An average of 40% of DCs expressed antigen after 1 week of culture when antigen encoded by the lentiviral vector construct was green fluorescent protein. To demonstrate that transduced antigen can be presented by DCs on MHC class I, we chose the lymphocytic choriomeningitis virus glycoprotein (gp) as a model antigen, inasmuch as it is recognized by CD8 T cells from transgenic mice expressing an MHC class I-restricted T-cell receptor specific for the epitope of positions 33 through 41 of gp. DCs transduced with lentiviral construct encoding gp and matured with LPS activated transgenic T cells in an antigen-specific fashion. Using transporter associated with antigen presentation (TAP)-deficient mice, we show that presentation of the gp33-41 epitope is TAP-dependent, confirming processing of gp by the endogenous pathway. CONCLUSIONS: These results demonstrate that CD8 T cells can recognize MHC class I epitopes processed from antigen in DCs transduced with lentiviral vectors. Lentiviral transduction of DCs and antigen presentation to CD8 T cells could be exploited for immunotherapy, because allergen-specific CD8 T cells have been shown to be suppressive in IgE-dependent allergy models.     

CD4-independent protective cytotoxic T cells induced in early life by a non-replicative delivery system based on virus-like particles

The relative immaturity of the neonatal immune system limits CD4(+) Th1 and cytotoxic T lymphocyte (CTL) responses, and represents a significant challenge for the development of vaccines against intracellular pathogens. In this report, we demonstrate the ability of a non-replicative delivery system based on parvovirus-like particles (VLP) to induce CTL responses in the neonatal period. A single immunization of 1-week-old BALB/c mice with recombinant VLP carrying a CD8(+) T cell determinant from lymphocytic choriomeningitis virus (VLP-LCMV) induced antigen-specific CD8(+) cytotoxic T cells that were similar to those elicited by adult immunization, as assessed by cytotoxic activity, interferon (IFN)-gamma secretion, cytotoxic precursor cell frequencies, in vitro avidity for antigen and protective activity against viral challenge. These CTL responses are elicited within 2 weeks of a single immunization, in the absence of adjuvant and independently of the presence and help of CD4(+) T cells, highlighting the potential of VLP as candidate vaccine vectors in early life.     

The Burden of Stroke in Kurdistan Province,Iran From 2011 to 2017

ObjectivesThe aim of this study was to calculate the burden of stroke in Kurdistan Province, Iran between 2011 and 2017.MethodsIncidence data extracted from the hospital information system of Kurdistan Province and death data extracted from the system of registration and classification of causes of death were used in a cross-sectional study. The World Health Organization method was used to calculate disability-adjusted life years (DALYs).ResultsThe burden of stroke increased from 2453.44 DALYs in 2011 to 5269.68 in 2017, the years of life lost increased from 2381.57 in 2011 to 5109.68 in 2017, and the years of healthy life lost due to disability increased from 71.87 in 2011 to 159.99 in 2017. The DALYs of ischaemic stroke exceeded those of haemorrhagic stroke. The burden of disease, new cases, and deaths doubled during the study period. The age-standardised incidence rate of ischaemic stroke and haemorrhagic stroke in 2017 was 21.72 and 20.72 per 100 000 population, respectively.ConclusionsThe burden of stroke is increasing in Kurdistan Province. Since health services in Iran are based on treatment, steps are needed to revise the current treatment services for stroke and to improve the quality of services. Policy-makers and managers of the health system need to plan to reduce the known risk factors for stroke in the community. In addition to preventive interventions, efficient and up-to-date interventions are recommended for the rapid diagnosis and treatment of stroke patients in hospitals. Along with therapeutic interventions, preventive interventions can help reduce the stroke burden.     

Monitoring Information-Seeking Patterns and Obesity Prevalence in Africa With Internet Search Data: Observational Study

BackgroundThe prevalence of chronic conditions such as obesity, hypertension, and diabetes is increasing in African countries. Many chronic diseases have been linked to risk factors such as poor diet and physical inactivity. Data for these behavioral risk factors are usually obtained from surveys, which can be delayed by years. Behavioral data from digital sources, including social media and search engines, could be used for timely monitoring of behavioral risk factors.ObjectiveThe objective of our study was to propose the use of digital data from internet sources for monitoring changes in behavioral risk factors in Africa.MethodsWe obtained the adjusted volume of search queries submitted to Google for 108 terms related to diet, exercise, and disease from 2010 to 2016. We also obtained the obesity and overweight prevalence for 52 African countries from the World Health Organization (WHO) for the same period. Machine learning algorithms (ie, random forest, support vector machine, Bayes generalized linear model, gradient boosting, and an ensemble of the individual methods) were used to identify search terms and patterns that correlate with changes in obesity and overweight prevalence across Africa. Out-of-sample predictions were used to assess and validate the model performance.ResultsThe study included 52 African countries. In 2016, the WHO reported an overweight prevalence ranging from 20.9% (95% credible interval [CI] 17.1%-25.0%) to 66.8% (95% CI 62.4%-71.0%) and an obesity prevalence ranging from 4.5% (95% CI 2.9%-6.5%) to 32.5% (95% CI 27.2%-38.1%) in Africa. The highest obesity and overweight prevalence were noted in the northern and southern regions. Google searches for diet-, exercise-, and obesity-related terms explained 97.3% (root-mean-square error [RMSE] 1.15) of the variation in obesity prevalence across all 52 countries. Similarly, the search data explained 96.6% (RMSE 2.26) of the variation in the overweight prevalence. The search terms yoga, exercise, and gym were most correlated with changes in obesity and overweight prevalence in countries with the highest prevalence.ConclusionsInformation-seeking patterns for diet- and exercise-related terms could indicate changes in attitudes toward and engagement in risk factors or healthy behaviors. These trends could capture population changes in risk factor prevalence, inform digital and physical interventions, and supplement official data from surveys.     

To screen or not to screen? The development of a prediction model for aorto-iliac stenosis in kidney transplant candidates

Screening for aorto-iliac stenosis is important in kidney transplant candidates as its presence affects pre-transplantation decisions regarding side of implantation and the need for an additional vascular procedure. Reliable imaging techniques to identify this condition require contrast fluid, which can be harmful in these patients. To guide patient selection for these imaging techniques, we aimed to develop a prediction model for the presence of aorto-iliac stenosis. Patients with contrast-enhanced imaging available in the pre-transplant screening between January 1st, 2000 and December 31st, 2018 were included. A prediction model was developed using multivariable logistic regression analysis and internally validated using bootstrap resampling. Model performance was assessed with the concordance index and calibration slope. Three hundred and seventy-three patients were included, 90 patients (24.1%) had imaging-proven aorto-iliac stenosis. Our final model included age, smoking, peripheral arterial disease, coronary artery disease, a previous transplant, intermittent claudication and the presence of a femoral artery murmur. The model yielded excellent discrimination (optimism-corrected concordance index: 0.83) and calibration (optimism-corrected calibration slope: 0.91). In conclusion, this prediction model can guide the development of standardized protocols to decide which patients should receive vascular screening to identify aorto-iliac stenosis. External validation is needed before this model can be implemented in patient care.     

Supportive care in a patient with Alstrom syndrome with hyperphenylalaninemia and sleep problems

Alstrom syndrome is a rare genetic disorder with an autosomal recessive mutation in the ALMS1 gene. The disease''s manifestations include ophthalmic problems, hearing loss, obesity, and cardiovascular disorders. In addition, medical cases include other organ complications. However, the overlapping variety of such symptoms with other diseases may delay the diagnosis. In this article, we describe the case of a 7‐year‐old female patient with Alstrom syndrome, and cardiovascular and hyperphenylalaninemia diseases since birth. Other symptoms included diabetes and ophthalmologic problems with skeletal disability. Blindness and hearing impairment were diagnosed, along with recurrence of respiratory problems at the age of 7 years. The patient''s obesity‐induced snoring predisposed her to uncontrolled blood glucose. In fact, respiratory tract problems and sleep disorders had occurred as a degraded cycle and left her with a severe disability for years. The similarity of the symptoms with other diseases had misled the physician in diagnosis. However, a polysomnography test (because of complaints of short sleep duration) recognized the source of the patient''s sleep disorders and breathing problems. Eventually, we delivered a portable ventilator to the child for continuous positive airway pressure (CPAP) therapy. The child''s breathing and oxygenation conditions improved. Using the ventilator and the CPAP system, we discharged her from the hospital without requiring oxygenation, in a stable condition. The procedure could prevent the patient from hypoxia and retinal problem.     

Designing a data set for postpartum recall registry of women with gestational diabetes in recent pregnancy and its implementation in Iranian urban health centers

Background and aimsGestational diabetes has serious short and long-term consequences for both mother and child. Designing a standard data set and implementing a recall registry system provides opportunities for early interventions in women with a history of gestational diabetes. The present study aims to draft a data set for the gestational diabetes recall registry and its establishment in urban health centers.MethodsTo design a data set for gestational diabetes postpartum recall registry a qualitative study has been done from April to June of 2019. In this stage, Information need assessment, Identification of data elements, development of registry software, and field-testing were done. Web-based software was designed in NET language and using a Visual Studio programming environment. Implementation of the postpartum recall registry was started in 6 health centers of Ahvaz city from August 2019.ResultsDuring six months 163 women with gestational diabetes in current pregnancy were registered. The final data set for the postpartum recall registry included six main groups, 23 subclasses, and 188 data elements. Mandatory data were included 115 elements.ConclusionA data set was finalized using a standard method and implemented in urban health centers for six months. Implementing a postpartum registry with standard elements can help manage data and plan for future interventions to reduce modifiable risk factors in this population.