BACKGROUND: Previous studies have suggested that exposure to air pollution may increase stroke risk, but the results remain inconsistent. Evidence of more recent studies is highly warranted, especially gas air pollutants. METHODS: We searched PubMed, Embase, and Web of Science to identify studies till February 2020 and conducted a meta-analysis on the association between air pollution (PM RESULTS: A total of 68 studies conducted from more than 23 million participants were included in our meta-analysis. Meta-analyses showed significant associations of all six air pollutants and stroke hospital admission (e.g., PM CONCLUSIONS Exposure to air pollution was positively associated with an increased risk of stroke hospital admission (PM
Air Pollutants/adverse effects* ; Air Pollution/adverse effects* ; Environmental Exposure/adverse effects* ; Hospitalization/statistics & numerical data* ; Humans ; Incidence ; Particle Size ; Particulate Matter/adverse effects* ; Stroke/mortality*

PURPOSE: Boarding is a common problem in the emergency department (ED) and is associated with poor health care and outcome. Imam Khomeini Hospital is the main healthcare center in Urmia, a metropolis in the northwest of Iran. Due to the overcrowding and high patient load, we aim to characterize the rate, cause and consequence of boarding in the ED of this center. METHODS: All medical records of patients who presented to the ED of Imam Khomeini Hospital from August 1, 2017 to August 1, 2018 were retrospectively analyzed. Patients with uncompleted records were excluded. Boarding was defined as the inability to transfer the admitted ED patients to a downstream ward in ≥2 h after the admission order. Demographic data, boarding rate, mortality and triage levels (1-5) assessed by emergency severity index were collected and analyzed. The first present time of patients was classified into 4 ranges as 0:00-5:59, 6:00-11:59, 12:00-17:59 and 18:00-23:59. Descriptive, parametric and non-parametric statistical tests were performed and the risk of boarding was determined by Pearson Chi-square test. RESULTS: Demographic data analysis showed that 941 (58.5%) male and 667 (41.5%) female, altogether 1608 patients were included in this study. Five patients (0.3%) died. The distribution of patients with the triage levels 1-5 was respectively 79 (4.9%), 1150 (71.5%), 374 (23.3%), 4 (0.2%) and 0 (0%). Most patients were of level 2. Only 75 (4.7%) patients required intensive care. The majority of patients (84.2%) were presented at weekdays. The maximum patient load was observed between 12:00-17:59. Of the 1608 patients, 340 (21.1%) experienced boarding within a mean admission time of 13.70 h. Among the 340-boarded patients, 20.1% belonged to surgery, 12.1% to orthopedics, 10.9% to neurosurgery and 10.3% to neurology. The boarding rate was higher in females, patients requiring intensive care and those with low triage levels. Compared with the non-boarded, the boarded patients had a higher mean age. CONCLUSION The boarding rate is higher in the older and female patients. Moreover, boarding is dependent on the downstream ward sections: patients requiring surgical management experience the maximum boarding rate.
Age Factors ; Chi-Square Distribution ; Cross-Sectional Studies ; Crowding ; Emergency Service, Hospital ; Female ; Hospital Mortality ; Hospitalization/statistics & numerical data* ; Humans ; Iran ; Length of Stay ; Male ; Patient Admission ; Retrospective Studies ; Risk Assessment/methods* ; Risk Factors ; Sex Factors ; Time Factors ; Triage

BACKGROUND: The Rugby World Cup (RWC) is one of the biggest international mega sports events in the world. This study was conducted to identify and evaluate the volume, nature, and severity of spectator medical care in the stadiums of 12 venues across Japan during RWC 2019. METHOD: This was a retrospective review of medical records from spectator medical rooms of 45 official matches of RWC 2019 between September 20 and November 2, 2019. All patients in the stadium who visited the spectator medical room and were transferred to a hospital were included. The wet bulb globe temperature (WBGT) value at the kick-off time of each match, the number of visits to the spectator medical room, and the number of transfers to a hospital were reviewed and analyzed. The patient presentation rate (PPR) was calculated per 10,000 attendees. Severity categories were defined as mild or severe. Mild cases were considered non-life threatening requiring minimal medical intervention, and severe cases required transport to a hospital. RESULT: The total number of visits to the spectator medical room was 449 with a PPR of 2.63. Most cases (91.5%) were mild in severity. The PPR was significantly higher for the matches held with a WBGT over 25 °C than for the matches under 21 °C (PPR 4.27 vs 2.04, p = 0.04). Thirty-eight cases were transferred to a hospital by ambulance; the PPR was 0.22. The most common reasons for transfer to the hospital were heat illness and fracture/dislocation, at a rate of 15.8% each. The incidence rate of cardiopulmonary arrest per 10,000 attendees was 0.0059 during RWC 2019. CONCLUSION Preparation and provision of appropriate medical service for spectators is a key factor for mass-gathering events. During RWC 2019, the majority (91.5%) of patients who sought medical attention did so for minor complaints, which were easily assessed and managed. On the other hand, a higher WBGT situation contributes significantly to an increased PPR (< 21 versus > 25, 2.04 versus 4.27, p = 0.04). Careful medical preparation, management, and development of public education programs for higher WBGT situations will be required in the future for similar international mega sports events.
Adolescent ; Adult ; Aged ; Aged, 80 and over ; Ambulatory Care/statistics & numerical data* ; Anniversaries and Special Events ; Child ; Child, Preschool ; Emergency Service, Hospital/statistics & numerical data* ; Female ; Football ; Hospitalization/statistics & numerical data* ; Humans ; Infant ; Infant, Newborn ; Japan ; Male ; Mass Behavior ; Middle Aged ; Retrospective Studies ; Young Adult

BACKGROUND: Six epidemic waves of human infection with avian influenza A (H7N9) virus have emerged in China with high mortality. However, study on quantitative relationship between clinical indices in ill persons and H7N9 outcome (fatal and non-fatal) is still unclear. A retrospective cohort study was conducted to collect laboratory-confirmed cases with H7N9 viral infection from 2013 to 2015 in 23 hospitals across 13 cities in Guangdong Province, China. METHODS: Multivariable logistic regression model and classification tree model analyses were used to detect the threshold of selected clinical indices and risk factors for H7N9 death. The receiver operating characteristic curve (ROC) and analyses were used to compare survival and death distributions and differences between indices. A total of 143 cases with 90 survivors and 53 deaths were investigated. RESULTS: Average age (Odds Ratio (OR) = 1.036, 95% Confidence Interval (CI) = 1.016-1.057), interval days between dates of onset and confirmation (OR = 1.078, 95% CI = 1.004-1.157), interval days between onset and oseltamivir treatment (OR = 5.923, 95% CI = 1.877-18.687), body temperature (BT) (OR = 3.612, 95% CI = 1.914-6.815), white blood cell count (WBC) (OR = 1.212, 95% CI = 1.092-1.346) were significantly associated with H7N9 death after adjusting for confounders. The chance of death from H7N9 infection was 80.0% if BT was over 38.1 °C, and chance of death is 67.4% if WBC count was higher than 9.5 (10/L). Only 27.1% of patients who began oseltamivir treatment less than 9.5 days after disease onset died, compared to 68.8% of those who started treatment more than 15.5 days after onset. CONCLUSIONS The intervals between date of onset and confirmation of diagnosis, between date of onset to oseltamivir treatment, age, BT and WBC are found to be the best predictors of H7N9 mortality.
Adult ; Aged ; China ; epidemiology ; Confidence Intervals ; Female ; Hospitalization ; statistics & numerical data ; Humans ; Influenza A Virus, H7N9 Subtype ; pathogenicity ; Influenza, Human ; epidemiology ; mortality ; virology ; Logistic Models ; Male ; Middle Aged ; ROC Curve ; Retrospective Studies ; Risk Factors ; Young Adult

PURPOSE: There are no previous epidemiological studies to represent the trends of tibia fractures in the urban setting. The purpose of our study was to provide unique epidemiological information on the incidence of tibia fractures requiring admission in the urban population of Singapore. METHODS: This is a retrospective review of clinical and radiological records encompassing three years period from 2012 to 2014 in a tertiary hospital in Northern Singapore, which covers an adult population of 550,000. Clinical information included demographics, mechanism of injury, and Gustillo-Anderson classification. Radiological records were evaluated by two of the authors and fractures were classified using the AO classification after consensus was reached. RESULTS: There were 214 cases of tibia fractures with a population incidence of 13 in 100,000. Among the tibia fractures, 47% were diaphyseal, 43% proximal and 10% distal. Majority of patients were males with a male to female ratio of 3 to 1. The mean age of females was 64 years while that of males was 40 years. The commonest mechanism of injury was road traffic accident, which contributed to 42% of cases, with motorcyclists making up 78% of all road traffic accidents. Compound fractures made up 23% of all fractures, most of which were Gustillo-Anderson type III; 69% of patients underwent surgical intervention. CONCLUSION The incidence of tibia fractures is 13/100,000 with a male-to-female ratio of 3:1. This incidence is lower than other studies, but the proportion of open fractures were surprisingly high at 23%. Distribution of fractures was unimodal with a peak in younger men and older women. This may signify a component of fragility among tibia fractures, especially proximal and distal fractures, which peaks above the age of 80 years old.
Accidents, Traffic ; statistics & numerical data ; Adult ; Age Factors ; Aged ; Aged, 80 and over ; Female ; Hospitalization ; statistics & numerical data ; Humans ; Incidence ; Inpatients ; statistics & numerical data ; Male ; Middle Aged ; Radiography ; Retrospective Studies ; Sex Factors ; Singapore ; epidemiology ; Tibia ; diagnostic imaging ; Tibial Fractures ; classification ; diagnostic imaging ; epidemiology ; surgery ; Time Factors ; Urban Population ; statistics & numerical data

OBJECTIVE: The aim of this study was to determine whether low calf circumference (CC) could predict nutritional risk and the cutoff values of CC for predicting nutritional risk in hospitalized patients aged ⪖ 80 years. METHODS: A total of 1,234 consecutive patients aged ⪖ 80 years were enrolled in this study. On admission, demographic data, CC, and laboratory parameters were obtained. Patients with Nutritional Risk Screening 2002 (NRS-2002) total score ⪖ 3 were considered as having nutritional risk. RESULTS: CC values were significantly lower in patients with nutritional risk compared to those in patients without nutritional risk [27.00 (24.50-31.00) vs. 31.00 (29.00-33.50], P < 0.001]. CC was negatively correlated with age and nutritional risk scores. Logistic regression analysis of nutritional risk revealed that body mass index, albumin level, hemoglobin level, cerebral infarction, neoplasms, and CC (OR, 0.897; 95% confidence interval, 0.856-0.941; P < 0.001) were independent impact factors of nutritional risk. Nutritional risk scores increased with a decrease in CC. In men, the best CC cutoff value for predicting nutritional risk according to the NRS-2002 was 29.75 cm. In women, the cutoff value was 28.25 cm. CONCLUSION CC is a simple, noninvasive, and valid anthropometric measure to predict nutritional risk for hospitalized patients aged ⪖ 80 years.
Aged, 80 and over ; Anthropometry ; methods ; China ; Female ; Hospitalization ; statistics & numerical data ; Humans ; Leg ; anatomy & histology ; Male ; Nutritional Status ; Risk Assessment ; methods

PURPOSE: Heart failure (HF) is considered an important medical burden with rehospitalization and mortality. Anemia is a major risk factor associated with the severity of HF. To improve the understanding of the impact of anemia in the population with HF, we explored the prevalence of anemia, its guidelines, relationship between anemia and mortality or rehospitalization, and limitation of reviewed papers of various populations with HF.METHODS: We used Whittemore and Knafl's integrative review methodology (2005), and thirty research papers were analyzed. PubMed, CINAHL, Cochrane, PsychInfo, Embase, Web of Science were searched for papers published between January 1960-June 2018.RESULTS: Anemia in individuals with HF was primarily defined using the World Health Organization guideline. The prevalence of anemia in patients with HF varied from 9% to 56.7%. Moreover, such a condition significantly increases the prevalence of mortality or rehospitalization in patients with HF. The analyzed majority were non-prospective cohort study including secondary data analysis.CONCLUSION: Anemia in individuals with HF is a significant risk factor of mortality and rehospitalization. Prospective cohort studies should be designed to identify the optimal value for screening anemia and the impact of anemia on rehospitalization and mortality among HF patients.
Anemia ; Cohort Studies ; Heart Failure ; Heart ; Hospitalization ; Humans ; Mass Screening ; Mortality ; Prevalence ; Prospective Studies ; Risk Factors ; Statistics as Topic ; World Health Organization

Objective: To estimate the serotype and age-specific hospitalization burden associated with hand, foot and mouth disease (HFMD) in Anhua county of Hunan province, between October 2013 and September 2016. Methods: We collected hospitalization records of HFMD patients from 6 virological surveillance hospitals, and reimbursement records through new rural cooperative medical system from 23 township health centers to estimate the age-specific hospitalization burden of HFMD in Anhua. Combined with the results of virological surveillance, the serotype-specific hospitalization burden of HFMD in Anhua, was estimated. Results: During the three years, it was estimated that 3 541 clinical diagnosed HFMD cases, including 3 146 laboratory-confirmed HFMD cases, were hospitalized in Anhua, but only one was diaguosed as being severe. The estimated average hospitalization rate was 723/100 000(95%CI: 699/100 000-747/100 000) for clinical diagnosed HFMD and 642/100 000 (95%CI: 620/100 000-665/100 000) for laboratory-confirmed HFMD between October 2013 and September 2016. The cases caused by Cox A16 (208/100 000) and Cox A6 (202/100 000) had higher hospitalization rates compared with the cases caused by EV71 (130/100 000), Cox A10 (38/100 000) and other enterovirus (64/100 000), and the difference was statistically significant (P<0.001). HFMD-associated hospitalization rates peaked in children aged 1 year (3 845/100 000), and then decreased with age. Compared with the hospitalized HFMD caused by EV71 and Cox A16, Cox A6-associated hospitalizations mainly occurred in younger age groups (P<0.001). Conclusion: Our study revealed a substantial hospitalization burden associated with mild HFMD caused by EV71, Cox A16, Cox A6 and Cox A10, especially in young children, in Anhua.
Child ; China/epidemiology* ; Enterovirus ; Enterovirus A, Human/isolation & purification* ; Enterovirus Infections/virology* ; Hand, Foot and Mouth Disease/virology* ; Hospitalization/statistics & numerical data* ; Hospitals/statistics & numerical data* ; Humans ; Infant ; Serogroup

PURPOSE: Readmission and mortality rates of patients with heart failure are good indicators of care quality. To determine whether hospital resources are associated with care quality for cardiac patients, we analyzed the effect of number of physicians and the combined effects of number of physicians and beds on 30-day readmission and 1-year mortality. MATERIALS AND METHODS: We used national cohort sample data of the National Health Insurance Service (NHIS) claims in 2002–2013. Subjects comprised 2345 inpatients (age: >65 years) admitted to acute-care hospitals for heart failure. A multivariate Cox regression was used. RESULTS: Of the 2345 patients hospitalized with heart failure, 812 inpatients (34.6%) were readmitted within 30 days and 190 (8.1%) had died within a year. Heart-failure patients treated at hospitals with low physician volumes had higher readmission and mortality rates than high physician volumes [30-day readmission: hazard ratio (HR)=1.291, 95% confidence interval (CI)=1.020–1.633; 1-year mortality: HR=2.168, 95% CI=1.415–3.321]. Patients admitted to hospitals with low or middle bed and physician volume had higher 30-day readmission and 1-year mortality rates than those admitted to hospitals with high volume (30-day readmission: HR=2.812, 95% CI=1.561–5.066 for middle-volume beds & low-volume physicians, 1-year mortality: HR=8.638, 95% CI=2.072–36.02 for middle-volume beds & low-volume physicians). CONCLUSION: Physician volume is related to lower readmission and mortality for heart failure. Of interest, 30-day readmission and 1-year mortality were significantly associated with the combined effects of physician and institution bed volume.
Aged ; Aged, 80 and over ; Cohort Studies ; Female ; Heart Failure/diagnosis/*mortality/therapy ; Hospitalization ; *Hospitals, High-Volume/statistics & numerical data ; *Hospitals, Low-Volume/statistics & numerical data ; Humans ; Male ; Middle Aged ; Patient Readmission/*statistics & numerical data ; Physicians/economics/*supply & distribution ; Proportional Hazards Models ; Quality Improvement ; Quality Indicators, Health Care/*statistics & numerical data ; Time Factors ; Treatment Outcome

BackgroundAsthma is a common chronic respiratory disease and is related to air pollution exposure. However, only a few studies have concentrated on the association between air pollution and adult asthma. Moreover, the results of these studies are controversial. Therefore, the present study aimed to analyze the influence of various pollutants on hospitalization due to asthma in adults.

MethodsA total of 1019 unrelated hospitalized adult asthma patients from Northeast China were recruited from 2014 to 2016. Daily average concentrations of air pollutants (particulate matter <2.5 μm [PM], particulate matter <10 μm [PM], sulfur dioxide [SO], nitrogen dioxide [NO], and carbon monoxide [CO]) were obtained from the China National Environmental Monitoring Centre website from 2014 to 2016. Cox logistic regression analysis was used to analyze the relationship between air pollutants and hospital admissions in adult asthma.

ResultsThe maximum odds ratio (OR) value for most air pollutants occurred on lag day 1. Lag day 1 was chosen as the exposure period, and 8 days before onset was chosen as the control period. Three pollutants (PM, CO, and SO) were entered into the regression equation, and the corresponding OR (95% confidence interval) was 0.995 (0.991-0.999), 3.107 (1.607-6.010), and 0.979 (0.968-0.990), respectively.

ConclusionsA positive association between hospital admissions and the daily average concentration of CO was observed. CO is likely to be a risk factor for hospital admissions in adults with asthma.

Air Pollutants ; toxicity ; Air Pollution ; adverse effects ; Asthma ; epidemiology ; Carbon Monoxide ; toxicity ; China ; Environmental Monitoring ; statistics & numerical data ; Female ; Hospitalization ; statistics & numerical data ; Humans ; Male ; Odds Ratio ; Particulate Matter ; toxicity ; Risk Factors ; Sulfur Dioxide ; toxicity