A comparative study of patient safety in the intensive care units

Aim This study aimed to assess patient-safety principles in ICUs. Design This is a descriptive-comparative study. Methods The research environment includes ICUs of hospitals affiliated to the two universities of medical sciences in Tehran. Sampling was done by census using Time and Event Sampling methods. Research instrument was “Patient Safety Principles Checklist”. Data analysis was performed using SPSS-20 and descriptive-inferential statistics with a significance level of 0.05. Results There is no significant difference (p-value = .15) in the level of observance of patient-safety principles in two university-affiliated hospitals A (133.26 ± 9.14) and B (128.16 ± 18.01). Evaluation of the mean scores obtained in each dimension and in each of the ICUs was showed that only in dimension No.3 the difference was significant (F[68,2] = 5.20, p-value = .008) and in the AICUs (16.13 ± 1.8) (p-value = .04), it was significantly lower than other ICUs. Identifying risk factors for the patient’s immunity reduces the side effects of patient care

Doxorubicin-induced renal inflammation in rats: Protective role of Plantago major

Objective: The aim of the present study was to evaluate the possible protective effect of Plantago major (P. major) extract against doxorubicin (DXR)-induced renal inflammation in rats. Materials and Methods: 80 male albino rats were randomly divided into 8 groups as follows: control, DXR, Ext (extract) 600, Ext1200, dexamethasone+DXR, vitamin E+DXR, Ext600+DXR, and Ext1200+DXR. Duration of the study was 35 days and DXR was intravenously injected on the 7th day of the experiment. Tumor necrosis factor-alpha (TNF-α) production and monocyte chemoattractant protein-1 (MCP-1) expression levels were assessed in the left kidney. Serum creatinine concentration and osmolarity were determined on the 1st, 14th, 21st, 28th and 35th days of the experiment. Results: DXR caused a significant increase in renal expression of MCP-1 and TNF-α production compared to control animals. Administration of dexamethasone, vitamin E and P. major extract significantly improved the expression of these inflammatory mediators compared to DXR group. Compared to day 1 in DXR group, serum osmolarity showed a significant increase on days 21, 28 and 35. Also, on these days, serum osmolarity in DXR group was significantly higher than that on the same days in control group. In Vit E+DXR and Ext 1200+DXR groups, there was no significant changes in serum osmolarity among different days of the study. However, in these groups, serum osmolarity on days 21, 28 and 35 showed a significant decrease compared to the same days in DXR group. Conclusion: Present results suggest that hydroethanolic extract of P. major protected renal tissue against DXR–induced renal inflammation

Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Background Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. Methods We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. Findings In 2019, there were 12·2 million (95% UI 11·0–13·6) incident cases of stroke, 101 million (93·2–111) prevalent cases of stroke, 143 million (133–153) DALYs due to stroke, and 6·55 million (6·00–7·02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11·6% [10·8–12·2] of total deaths) and the third-leading cause of death and disability combined (5·7% [5·1–6·2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70·0% (67·0–73·0), prevalent strokes increased by 85·0% (83·0–88·0), deaths from stroke increased by 43·0% (31·0–55·0), and DALYs due to stroke increased by 32·0% (22·0–42·0). During the same period, age-standardised rates of stroke incidence decreased by 17·0% (15·0–18·0), mortality decreased by 36·0% (31·0–42·0), prevalence decreased by 6·0% (5·0–7·0), and DALYs decreased by 36·0% (31·0–42·0). However, among people younger than 70 years, prevalence rates increased by 22·0% (21·0–24·0) and incidence rates increased by 15·0% (12·0–18·0). In 2019, the age-standardised stroke-related mortality rate was 3·6 (3·5–3·8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3·7 (3·5–3·9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62·4% of all incident strokes in 2019 (7·63 million [6·57–8·96]), while intracerebral haemorrhage constituted 27·9% (3·41 million [2·97–3·91]) and subarachnoid haemorrhage constituted 9·7% (1·18 million [1·01–1·39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79·6 million [67·7–90·8] DALYs or 55·5% [48·2–62·0] of total stroke DALYs), high body-mass index (34·9 million [22·3–48·6] DALYs or 24·3% [15·7–33·2]), high fasting plasma glucose (28·9 million [19·8–41·5] DALYs or 20·2% [13·8–29·1]), ambient particulate matter pollution (28·7 million [23·4–33·4] DALYs or 20·1% [16·6–23·0]), and smoking (25·3 million [22·6–28·2] DALYs or 17·6% [16·4–19·0]). Interpretation The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries.publishedVersio

Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019

Background Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. Methods We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. Findings In 2019, there were 12.2 million (95% UI 11.0-13.6) incident cases of stroke, 101 million (93.2-111) prevalent cases of stroke, 143 million (133-153) DALYs due to stroke, and 6.55 million (6.00-7.02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11.6% 10.8-12.2] of total deaths) and the third-leading cause of death and disability combined (5.7% 5.1-6.2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70.0% (67.0-73.0), prevalent strokes increased by 85.0% (83.0-88.0), deaths from stroke increased by 43.0% (31.0-55.0), and DALYs due to stroke increased by 32.0% (22.0-42.0). During the same period, age-standardised rates of stroke incidence decreased by 17.0% (15.0-18.0), mortality decreased by 36.0% (31.0-42.0), prevalence decreased by 6.0% (5.0-7.0), and DALYs decreased by 36.0% (31.0-42.0). However, among people younger than 70 years, prevalence rates increased by 22.0% (21.0-24.0) and incidence rates increased by 15.0% (12.0-18.0). In 2019, the age-standardised stroke-related mortality rate was 3.6 (3.5-3.8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3.7 (3.5-3.9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62.4% of all incident strokes in 2019 (7.63 million 6.57-8.96]), while intracerebral haemorrhage constituted 27.9% (3.41 million 2.97-3.91]) and subarachnoid haemorrhage constituted 9.7% (1.18 million 1.01-1.39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79.6 million 67.7-90.8] DALYs or 55.5% 48.2-62.0] of total stroke DALYs), high body-mass index (34.9 million 22.3-48.6] DALYs or 24.3% 15.7-33.2]), high fasting plasma glucose (28.9 million 19.8-41.5] DALYs or 20.2% 13.8-29.1]), ambient particulate matter pollution (28.7 million 23.4-33.4] DALYs or 20.1% 16.6-23.0]), and smoking (25.3 million 22.6-28.2] DALYs or 17.6% 16.4-19.0]). Interpretation The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries

Classification of 4D fMRI Images Using ML, Focusing on Computational and Memory Utilization Efficiency

Alzheimer’s disease is progressively degenerative with a character of memory loss, mood and behavior changes, and deepening confusion about time and place. It is estimated that worldwide about 50 million people are affected by AD. The lifetime per patient care cost of AD is estimated to be about $250k and the total cost of care of AD patients could exceed$1 trillion by 2050. In this research, we use novel data reduction techniques in determining functional brain connectivity from Resting-State fMRI data and show that small Machine Leaning models can with good accuracy classify subjects with respect to Alzheimer’s disease (AD) or Mild Cognitive Impairment (MCI) or being Cognitive Normal (CN). In fMRI, brain activity is captured from Blood Oxygen Level-Dependent (BOLD) magnetization detected by the MRI scanner. The functional connectivity is inferred from correlations of the observed BOLD signals from typically cubic voxels with sides in the 3 – 4 mm range. The BOLD signals are typically sampled every 2 – 3 seconds for a duration of five to six minutes generating a data set of 5 – 10 million voxel BOLD signal values per subject. To reduce the computational effort classification is typically carried out based on signal aggregates for anatomical regions defined in brain atlases. In this research, we use the 90 region Automated Anatomical Labeling atlas, AAL-90, in establishing Regions of Interest, ROIs that are subsets of voxels in the AAL-90 atlas. The functional connectivity is measured by the correlation of BOLD signal aggregates for the ROIs. In the data reduction step, we represent the 4D data set for a region with a vector that on average reduces the data set for a region from about 100,000 voxel signal values to 100 to 200 values in our spatial representation and in the order of 15,000 – 30,000 in our spatial-temporal representation. We show that a small Convolutional Neural Network (CNN) with a model size of about 168 kiB and a Transformer model of only 37 kiB yields classification accuracies of 80 – 90% for AD, MCI, and CN subject classification. We further show that our region data aggregation technique is more robust to BOLD signal artifacts than the commonly used aggregation technique. The training time for the CNN and Transformer on a data set of 551 subjects required 184 and 23.73 seconds respectively. The experiments are conducted on Opuntia Cluster using Pytorch.1.5.0, Python 3.7.7, and CUDA 10.1 on a 2.8GHz Intel Xeon E5-2670v2 processor with 2 CPU sockets and 20 cores, and NVIDIA K40 GPU

Immunohistochemical Evaluation of Angiogenesis and Cell Proliferation in Tongue Squamous Cell Carcinoma

Objectives: Squamous cell carcinoma (SCC) is the most common malignant neoplasm of the oral cavity and a public health threat. Tumor progression is believed to be influenced by angiogenesis as well as tumor cell proliferation; however, the correlation of these two factors in tongue SCC still remains unclear. This study aimed to assess the correlation of these two factors in tongue SCC. Materials and Methods: Twenty-four paraffin block sections of tongue SCC were stained with monoclonal antibodies against CD105 and Ki-67. In order to assess the expressions of CD105 and Ki-67 to evaluate CD105 microvessel density (MVD), positively stained microvessels were counted in a predominantly vascular area (hot spot) in each specimen at ×400 magnification. The proliferation index was expressed as a percentage of Ki-67 positive cells. Data were analyzed by t-test and Pearson’s correlation coefficient (P<0.05). Results: The CD105 MVD was related to histological grading as well as Ki67 labeling index (LI; P= 0.045 and P=0.047, respectively). Both CD105 MVD and KI67 LI were unrelated to sex (P=0.41 and P=0.78, respectively) and age (P=0.20 and P=0.36, respectively) of the patients. No correlation was found between CD105 MVD and Ki67 LI (P=0.86). Conclusion: The mean CD105 MVD was significantly lower in poorly differentiated tumors. This finding suggests that CD105 MVD may serve as a valuable prognostic factor in tongue SCC. Absence of correlation between MVD and tumor cell proliferation indicates that these processes may be guided by unrelated mechanisms

Seroprevalence of Leptospira infection in occupational risk groups in North Khorasan province, Iran

Leptospirosis is an important zoonotic bacterial disease caused by Leptospira spp. Earlier studies from North Khorasan province (Iran) reported the presence of Leptospira in wild canines and rodents. To date, there is no data on the seroprevalence of leptospirosis among humans in this province. This study was performed to determine the prevalence of human leptospiral infection among people with different occupations. The study was conducted in urban and rural areas of the province. Among the serum samples collected from 278 subjects, 3 (1.1%) showed positive reaction with titer of 1:100 by the microscopic agglutination test (MAT). Positive reactions were detected against Leptospira interrogans Canicola and L. interrogans icterohemorrhagic and all these samples were from livestock farmers (n = 3/106, 2.7%). The current study revealed that, though Leptospira infection is low in North Khorasan province, regular monitoring of the livestock and the farmers are important

Assessing the prevalence and treatment of malnutrition in hospitalized children in Mofid Children's Hospital during 2015-2016

Background: Malnutrition in hospitalized patients causes problems in treatment and increases hospitalization duration. The aim of this research was to determine the prevalence of malnutrition in hospitalized children. Methods: Children aged 1 month to 18 years (n = 1186) who were admitted to medical and surgery wards of Mofid children’s hospital from November 2015 to February 2016, entered the study. We measured different anthropometric variables in patients with malnutrition. Also, nutritional counseling was performed and three months follow-up was done. Results: Patient data were registered in questionnaires particularly for children 2 years old and less. 597 children under 2 years of age and 607 children over two years entered the study. The data analysis was done by SPSS version 22.0 (Chicago, IL, USA). The t test inferential method was used in comparing variables. P values less than 0.05 were considered statistically significant. Based on the body mass index (BMI) Z score, and in accordance with the World Health Organization (WHO) cut-off, among children over 2 years, 9% were diagnosed as overweight or obese, 54% were within the normal range and 37% were underweight at time of admission. In the underweight group, 43% were mildly, 21.2% were moderately and 35.8% were severely underweight. Based on the weight for length Z score in patients less than 2 years of age at time of admission, 6% were overweight, 60% were in normal range and 34% were underweight. Among children with malnutrition, 21% had mild, 3.0% had moderate and 10% had severe malnutrition. No significant meaningful relation was found between prevalence of malnutrition and severity of illness. In the moderate to severe undernutrition group, nutritionist counseling was done. Comparison of BMI and weight, before and after admission (the baseline and the follow up visits), was done by means of repeated measurements. Comparison of the patient’s weight at time of admission with weight at 1, 2 and 3 months after the first nutritional consultation showed statistically meaningful difference (P value &lt; 0.05). Conclusion: Growth indices need to be evaluated in every hospitalized child. Nutritional consultation is useful in children with malnutrition. The main purpose of early diagnosis of malnutrition is to prevent its progression, and also to design a useful, applicable and cost-effective nutritional intervention for malnutrition treatment

Assessing the prevalence and treatment of malnutrition in hospitalized children in Mofid Children's Hospital during 2015-2016

Background: Malnutrition in hospitalized patients causes problems in treatment and increases hospitalization duration. The aim of this research was to determine the prevalence of malnutrition in hospitalized children. Methods: Children aged 1 month to 18 years (n = 1186) who were admitted to medical and surgery wards of Mofid children’s hospital from November 2015 to February 2016, entered the study. We measured different anthropometric variables in patients with malnutrition. Also, nutritional counseling was performed and three months follow-up was done. Results: Patient data were registered in questionnaires particularly for children 2 years old and less. 597 children under 2 years of age and 607 children over two years entered the study. The data analysis was done by SPSS version 22.0 (Chicago, IL, USA). The t test inferential method was used in comparing variables. P values less than 0.05 were considered statistically significant. Based on the body mass index (BMI) Z score, and in accordance with the World Health Organization (WHO) cut-off, among children over 2 years, 9% were diagnosed as overweight or obese, 54% were within the normal range and 37% were underweight at time of admission. In the underweight group, 43% were mildly, 21.2% were moderately and 35.8% were severely underweight. Based on the weight for length Z score in patients less than 2 years of age at time of admission, 6% were overweight, 60% were in normal range and 34% were underweight. Among children with malnutrition, 21% had mild, 3.0% had moderate and 10% had severe malnutrition. No significant meaningful relation was found between prevalence of malnutrition and severity of illness. In the moderate to severe undernutrition group, nutritionist counseling was done. Comparison of BMI and weight, before and after admission (the baseline and the follow up visits), was done by means of repeated measurements. Comparison of the patient’s weight at time of admission with weight at 1, 2 and 3 months after the first nutritional consultation showed statistically meaningful difference (P value &lt; 0.05). Conclusion: Growth indices need to be evaluated in every hospitalized child. Nutritional consultation is useful in children with malnutrition. The main purpose of early diagnosis of malnutrition is to prevent its progression, and also to design a useful, applicable and cost-effective nutritional intervention for malnutrition treatment

Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019

BackgroundRegularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels.MethodsWe applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level.FindingsIn 2019, there were 12·2 million (95% UI 11·0-13·6) incident cases of stroke, 101 million (93·2-111) prevalent cases of stroke, 143 million (133-153) DALYs due to stroke, and 6·55 million (6·00-7·02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11·6% [10·8-12·2] of total deaths) and the third-leading cause of death and disability combined (5·7% [5·1-6·2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70·0% (67·0-73·0), prevalent strokes increased by 85·0% (83·0-88·0), deaths from stroke increased by 43·0% (31·0-55·0), and DALYs due to stroke increased by 32·0% (22·0-42·0). During the same period, age-standardised rates of stroke incidence decreased by 17·0% (15·0-18·0), mortality decreased by 36·0% (31·0-42·0), prevalence decreased by 6·0% (5·0-7·0), and DALYs decreased by 36·0% (31·0-42·0). However, among people younger than 70 years, prevalence rates increased by 22·0% (21·0-24·0) and incidence rates increased by 15·0% (12·0-18·0). In 2019, the age-standardised stroke-related mortality rate was 3·6 (3·5-3·8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3·7 (3·5-3·9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62·4% of all incident strokes in 2019 (7·63 million [6·57-8·96]), while intracerebral haemorrhage constituted 27·9% (3·41 million [2·97-3·91]) and subarachnoid haemorrhage constituted 9·7% (1·18 million [1·01-1·39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79·6 million [67·7-90·8] DALYs or 55·5% [48·2-62·0] of total stroke DALYs), high body-mass index (34·9 million [22·3-48·6] DALYs or 24·3% [15·7-33·2]), high fasting plasma glucose (28·9 million [19·8-41·5] DALYs or 20·2% [13·8-29·1]), ambient particulate matter pollution (28·7 million [23·4-33·4] DALYs or 20·1% [16·6-23·0]), and smoking (25·3 million [22·6-28·2] DALYs or 17·6% [16·4-19·0]).InterpretationThe annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries.FundingBill & Melinda Gates Foundation