The family-oriented open dialogue approach in the treatment of first-episode psychosis: Nineteen-year outcomes

Open Dialogue (OD) is a family-oriented early intervention approach which has demonstrated good outcomes in the treatment of first-episode psychosis (FEP). Nevertheless, more evidence is needed. In this register-based cohort study the long-term outcomes of OD were evaluated through a comparison with a control group over a period of approximately 19 years. We examined the mortality, the need for psychiatric treatment, and the granting of disability allowances. Data were obtained from Finnish national registers regarding all OD patients whose treatment for FEP commenced within the time of the original interventions (total N = 108). The control group consisted of all Finnish FEP patients who had a follow-up of 19-20 years and who were guided to other Finnish specialized mental healthcare facilities (N = 1763). No difference between the samples was found regarding the annual incidence of FEP, the diagnosis, and suicide rates. Over the entire follow-up, the figures for durations of hospital treatment, disability allowances, and the need for neuroleptics remained significantly lower with OD group. Findings indicated that many positive outcomes of OD are sustained over a long time period. Due to the observational nature of the study, randomized trials are still needed to provide more information on effectiveness of approach.

Ambient air pollution and daily hospital admissions: A nationwide study in 218 Chinese cities

There have been few large multicity studies to evaluate the acute health effects of ambient air pollution on morbidity risk in developing counties. In this study, we examined the short-term associations of air pollution with daily hospital admissions in China. We conducted a nationwide time-series study in 218 Chinese cities between 2014 and 2016. Data on daily hospital admissions counts were obtained from the National Health Insurance Database for Urban Employees covering 0.28 billion enrollees. We used generalized additive model with Poisson regression to estimate the associations in each city, and we performed random-effects meta-analysis to pool the city-specific estimates. More than 60 million hospital admissions were analyzed in this study. At the national-average level, each 10 μg/m³ increase in PM₁₀, SO₂, and NO₂, and 1 mg/m³ increase in CO at lag 0 day was associated with a 0.29% (95% CI, 0.23%-0.36%), 1.16% (95% CI, 0.92%-1.40%), 1.68% (95% CI, 1.40%-1.95%), and 2.59% (95% CI, 1.69%-3.50%) higher daily hospital admissions, respectively. The associations of air pollution with hospital admissions remained statistically significant at levels below the current Chinese Ambient Air Quality Standards. The effect estimates were larger in cities with lower air pollutants levels or higher air temperatures and relative humidity, as well as in the elderly. In conclusion, our findings provide robust evidence of increased hospital admissions in association with short-term exposure to ambient air pollution in China.

Clostridium difficile infection in hospitalized patients with COPD in Spain (2001-2015)

BACKGROUND

The objectives of this study were to examine incidence and in-hospital outcomes of Clostridium difficile infection (CDI) among patients with COPD, to compare clinical variables among COPD patients with matched non-COPD patients hospitalized with CDI, and to identify factors associated with in-hospital mortality (IHM) among COPD patients.

METHODS

We performed a retrospective study using the Spanish National Hospital Discharge Database from 2001 to 2015. We included patients aged 40 years or over with a primary or secondary diagnosis of CDI. For each COPD patient, we selected a sex, age, readmission status and year-matched non-COPD patient.

RESULTS

We identified 44,695 patients with CDI (19.36% with COPD). Incidence of CDI has increased significantly from 2001 to 2015 besides COPD status. Incidence was higher in COPD patients than in patients without this disease (IRR 2.24; 95%CI 2.18-2.29). IHM decreased significantly over time in patients without COPD (from 13.98% in 2001-03 to 10.99% in 2013-15), but there were no changes in those with COPD (from 12.93% in 2001-03 to 13.37% in 2013-15). In COPD patients, higher mortality rates were associated with older age, comorbidities, severe CDI, longer length of hospital stay and readmission. Primary diagnosis of CDI was associated with lower IHM in this group of patients (OR 0.66; 95%CI 0.56-0.77) in comparison with secondary diagnosis.

CONCLUSIONS

Incidence of CDI was twice higher in COPD patients than in matched non-COPD controls and is increasing overtime in both groups. Our results suggest that the management of CDI has improved in Spain during the study period.

Predictors of falls and fractures leading to hospitalization in people with schizophrenia spectrum disorder: A large representative cohort study

AIM

To investigate predictors of falls/fractures leading to hospitalisation in people with schizophrenia-spectrum disorders.

METHODS

A historical cohort of people with schizophrenia-spectrum disorders (ICD F20-29) from 01/2006-12/2012 was assembled using data from the South London and Maudsley NHS Biomedical Research Centre Case Register. Falls/fractures were ascertained from a linkage to national hospitalisation data. Separate multivariate Cox regression analyses were employed to identify predictors of falls and fractures.

RESULTS

Of 11,567 people with schizophrenia-spectrum disorders (mean age 42.6 years, 43% female), 579 (incidence rate 12.79 per 1000 person-years) and 528 (11.65 per 1000 person-years) had at least one reported hospital admission due to a fall or fracture respectively and 822 patients had at least either a recorded fall or a fracture during this period (i.e. 7.1% of sample). Overall, 6.69 and 10.74 years of inpatient hospital stay per 1000-person years of follow-up occurred due to a fall and fracture respectively. 14(0.12%) and 28(0.24%) died due to a fall and fracture respectively. In Multivariable analysis, increasing age, white ethnicity, analgesics, cardiovascular disease, hypertension, diseases of the genitourinary system, visual disturbance and syncope were significant risk factor for both falls and fractures. A previous fracture (HR 2.05, 95% CI 1.53-2.73) and osteoporosis (HR 6.79, 95% CI 4.71-9.78) were strong risk factors for consequent fractures.

CONCLUSION

Comorbid physical health conditions and analgesic medication prescription were associated with higher risk of falls and fractures. Osteoporosis and previous fracture were strong predictors for subsequent fractures. Interventions targeting bone health and falls/fractures need to be developed and evaluated in these populations.

The burden of overall and cause-specific respiratory morbidity due to ambient air pollution in Sichuan Basin, China: A multi-city time-series analysis

Few studies have investigated the respiratory morbidity burden due to ambient air pollution in China, especially in a multi-city setting. This study aimed to estimate the short-term effects of ambient air pollutants (PM₁₀, PM_2.5, NO₂ and SO₂) on hospital admissions (HAs) for overall and cause-specific respiratory diseases, as well as the associated burden in 17 cities of Sichuan Basin, China during 2015-2016. Firstly, city-specific effect estimates for each pollutant on respiratory HAs were obtained using generalized additive model with quasi-Poisson link, and then random- or fixed-effects meta-analysis was applied to pool the effect estimates at the regional level. Subgroup analyses by sex, age, season and region were also performed. A total of 757,712 respiratory HAs were collected from all the tertiary and secondary hospitals located in the 17 cities. Risks of HAs for overall and cause-specific respiratory diseases were elevated following increased PM₁₀, PM_2.5, NO₂ and SO₂ exposure. An increase of 10 μg/m³ in PM₁₀ at lag01, PM_2.5 at lag01, NO₂ at lag0 and SO₂ at lag02 was associated with a 0.43% (95% CI: 0.33%, 0.53%), 0.53% (95% CI: 0.39%, 0.68%), 2.36% (95% CI: 1.75%, 2.98%) and 2.54% (95% CI: 1.51%, 3.59%) increases in total respiratory HAs, respectively. Children (≤ 14 years) and elderly (≥ 65 years) appeared to be more vulnerable to the effects of ambient air pollutants. Comparing to the WHO's air quality guidelines, we estimated that 1.84% (95%CI: 1.42%, 2.25%), 1.73% (95%CI: 1.27%, 2.19%) and 0.34% (95%CI: 0.21%, 0.48%) of respiratory HAs were due to PM₁₀, PM_2.5 and SO₂ exposure, respectively. This study suggests that air pollution might be an important trigger of respiratory admissions, and result in substantial burden of HAs for respiratory diseases in Sichuan Basin.

Rapid 5 lb weight gain is not associated with readmission in patients with heart failure

Aims

Heart failure (HF) patients are taught to identify a rapid 5 lb body‐weight gain for early detection of cardiac decompensation. Few data support this common advice. The study aim was to determine whether a 5 lb weight gain in 1 week and signs and symptoms of HF increased risk for unplanned physician or emergency department (ED) visits or hospital admission in rural HF patients.

Methods and results

This was a secondary analysis of a randomized trial. Patients tracked body weight and HF symptoms using diaries. We included patients adherent to daily diaries >50% over 24 months (N = 119). Mean age was 69 ± 11 years; 77% (65) were male, and 67% completed diaries. A weight gain of 5 lb over 7 days was associated with a greater risk for ED visits but not hospital admission [hazard ratio (HR) 1.06, 95% confidence interval (CI) 1.04, 1.08; P < 0.0001 vs. HR 1.01, 95% CI 0.88, 1.16; P = 0.79]. Increased dyspnoea over 7 days was associated with a greater risk of ED visits and hospital admissions (HR 9.64, 95% CI 3.68, 25.22; P < 0.0001 vs. HR 5.89, 95% CI 1.73, 20.04; P = 0.01). Higher diary adherence was associated with older age, non‐sedentary behaviour, lower depression, and HF knowledge.

Conclusions

Heart failure patients are counselled to observe for body‐weight gain. Our data do not support that a 5 lb weight gain was associated with hospital admission. Dyspnoea was a better predictor of ED visits and hospital admissions. Daily tracking of dyspnoea symptoms may be an important adjunct to daily weight to prevent hospitalization.

Acute effects of ambient particulate matter pollution on hospital admissions for mental and behavioral disorders: A time-series study in Shijiazhuang, China

Until now, few epidemiological studies have focused on the association between ambient particulate matter pollution and mental and behavioral disorders, especially in developing countries. Thus, a time-series study on the short-term association between both fine and inhalable particles (PM_2.5 and PM₁₀) and daily hospital admissions for mental and behavioral disorders in Shijiazhuang, China was conducted, from 2014 to 2016. An over-dispersed, generalized additive model was used to analyze the associations after controlling for time trend, weather conditions, day of the week, and holidays. In addition, the modification effects of age, sex, and season were estimated. A total of 9156 cases of hospital admissions for mental and behavioral disorders were identified. A 10 μg/m³ increase in a 3-day average concentration (lag02) of PM_2.5 and PM₁₀ correspond to an increase of 0.48% (95% confidence interval (CI): 0.18-0.79%) and 0.32% (95% CI: 0.03-0.62%) in daily hospital admission for mental and behavioral disorders, respectively. We found stronger associations of PM_2.5 and PM₁₀ with mental and behavioral disorders in male and elder individuals (≥45 years) than in female and younger individuals (<45 years). Further, results indicated a generally stronger association of PM_2.5 with mental and behavioral disorders in the cool season than in the warm season. This research found a significant association between ambient PM_2.5 and PM₁₀ and hospital admission for mental and behavioral disorders in Shijiazhuang, China.

Healthcare reimbursement costs of children with type 1 diabetes in the Netherlands, a observational nationwide study (Young Dudes-4)

BACKGROUND

Type 1 diabetes mellitus (T1DM) is one of the most common chronic diseases in children. Studies on costs related to T1DM are scarce and focused primarily on the costs directly related to diabetes. We aimed to investigate both the overall healthcare costs and the more specific costs related to the management of diabetes.

METHODS

This is a retrospective and observational, nationwide cohort study of all Dutch children (aged 0-18 years) with T1DM. Data were collected from the national registry for healthcare reimbursement, in which all Dutch insurance companies combine their reimbursement data. In the Netherlands for all Dutch citizens health care is covered by law and all children are treated by hospital-based paediatricians.

RESULTS

We analysed 6710 children distributed over 81 hospitals: 475 children in 6 university hospitals and 6235 children in 75 general hospitals. Total reimbursement for all children with T1DM over the period 2009 to 2011 was € 167,494,732 corresponding to an annual mean of € 55,831,577 of total costs and € 8326 euros per child. When comparing small (between 26 and 54 patients), medium (57-84 patients) and large (88-248 patients) general hospitals, costs per patient were highest in the hospitals with the highest number of T1DM patients. The costs for devices, secondary care and pharmaceutics had most impact on total expenditures. Over the study period, there was a slight decrease in per person costs.

CONCLUSION

The overall health expenditure of a child with T1DM is more than € 8000 per patient per annum. Given the move towards more device-intensive multidisciplinary care for these patients, the costs of treating T1DM in children are likely to increase further in the coming years.

The Six-Item Cognitive Impairment Test Is Associated with Adverse Outcomes in Acutely Hospitalized Older Patients: A Prospective Cohort Study

Aim

The study aim was to investigate whether cognitive impairment, measured by the Six-Item Cognitive Impairment Test (6-CIT), is an independent predictor of adverse outcomes in acutely hospitalized older patients.

Methods

This was a prospective multicenter study including acutely hospitalized patients aged 70 years and older. Multivariable logistic regression was used to investigate whether impaired cognition (6-CIT ≥11 points) was an independent predictor of 90-day adverse outcome, a composite measure of functional decline and mortality. Secondary endpoints were hospital length of stay, new institutionalization, and in-hospital mortality.

Results

In total, 196 (15.6%) of 1,252 included patients had a 6-CIT ≥11. Median age was 80 years (interquartile range 74–85). Patients with impaired cognition had higher rates of 90-day adverse outcome (41.7% compared to 30.3% in 1,056 not cognitively impaired patients, p = 0.009). Impaired cognition was a predictor of 90-day adverse outcome with a crude odds ratio (OR) of 1.64 (95% CI 1.13–2.39), but statistical significance was lost when fully corrected for possible confounders (OR 1.44, 95% CI 0.98–2.11). For all secondary outcomes, impaired cognition was an independent predictor.

Conclusions

In the acute hospital setting, the 6-CIT is associated with 90-day adverse outcome and is an independent predictor of hospital length of stay, new institutionalization, and in-hospital mortality.

Hospitalisation in Children with Adrenal Insufficiency and Hypopituitarism: Is There a Differential Burden between Boys and Girls and between Age Groups?

BACKGROUND/AIMS

To determine the burden of hospitalisation in children with adrenal insufficiency (AI)/hypopituitarism in Australia.

METHODS

A retrospective study of Australian hospitalisation data. All admissions between 2001 and 2014 for patients aged 0-19 years with a principal diagnosis of AI/hypopituitarism were included. Denominator populations were extracted from national statistics datasets.

RESULTS

There were 3,779 admissions for treatment of AI/hypopituitarism in patients aged 0-19 years, corresponding to an average admission rate of 48.7 admissions/million/year. There were 470 (12.4%) admissions for an adrenal crisis (AC). Overall, admission for AI/hypopituitarism was comparable between the sexes. Admission rates for all AI, hypopituitarism, congenital adrenal hyperplasia (CAH), and "other and unspecified causes" of AI were highest among infants and decreased with age. Admissions for primary AI increased with age in both sexes. Males had significantly higher rates of admission for hypopituitarism. AC rates differed by both sex and age group.

CONCLUSION

This nationwide study of the epidemiology of hospital admissions for a principal diagnosis of AI/hypopituitarism shows that admissions generally decreased with age; males had higher rates of admission for hypopituitarism; females had higher rates of admission for CAH and "other and unspecified causes" of AI; and AC incidence varied by age and sex. Increased awareness of AI and AC prevention strategies may reduce some of these admissions.

Age and sex differences in emergency department visits of nursing home residents: a systematic review

Background

Nursing home residents (NHRs) are often transferred to emergency departments (EDs). A great proportion of ED visits is considered inappropriate. There is evidence that male NHRs are more often hospitalised, but this is less clear for ED visits. It is unclear, which influence age has on ED visits. We aimed to study the epidemiology of ED visits in NHRs focusing on age- and sex-specific differences.

Methods

A systematic review was carried out based on articles found in MEDLINE (via PubMed), CINAHL and Scopus. Articles published on or before Aug 31, 2017 were eligible. Two reviewers independently identified articles for inclusion. The quality of studies was assessed by the Joanna Briggs Institute critical appraisal tool for prevalence studies.

Results

Out of 1192 references, we found seven studies meeting our inclusion criteria. Six studies were conducted in the USA or Canada. Overall, 29–62% of NHRs had at least one ED visit over the course of 1 year. Most studies assessing the influence of sex found that male residents visited EDs more frequently. All but one of the five studies with multivariable analyses reported a statistically significant positive association (with odds or rate ratios of 1.05–1.38). All studies assessed the influence of age. There was no clear pattern with some studies showing no association between ED visits and age and other studies reporting decreasing ED visits with increasing age or increasing proportions followed by a decrease in the highest age group. Studies used 85+ or 86+ years as the highest age category. Hospital admission rate ranged from 36.4 to 48.7%. There was no study reporting stratified analyses by age and sex. Only one study reported main diagnoses leading to ED visits stratified by sex.

Conclusion

Male NHRs visit EDs more often than females, but there is no evidence on reasons. The association with age is unclear. Any future study on acute care of NHRs should assess the influence of age and sex. These studies should include large sample sizes to provide a more differentiated age categorisation.

Trial registration

PROSPERO CRD42017074845.

Electronic supplementary material

The online version of this article (10.1186/s12877-018-0848-6) contains supplementary material, which is available to authorized users.

Emergency medicine physicians' ability to predict hospital admission at the time of triage

BACKGROUND

We seek to determine if experienced emergency medicine physicians can accurately predict the likelihood of admission for patients at the time of triage. Such predictions, if proven to be accurate, could decrease the time spent in the ED for patients who will ultimately be admitted by hastening downstream workflow.

METHODS

This is a prospective cohort study of experienced physicians at a large urban hospital. Physicians were asked to predict the likelihood of admission for patients based only on information available in the EMR at the time of triage. Physicians also predicted the service to which the patients would be admitted. Physicians provided a confidence level of their prediction. Measures of predictive accuracy were calculated, including sensitivity, specificity, and area under the receiver operating characteristic curve.

RESULTS

35 physicians evaluated 398 patient charts and made predictions. Sensitivity of determining admission for the entire cohort was 51.8%. The specificity was 89.1%. For those predictions made with a confidence level of >90%, sensitivity was 61.5% and specificity was 95.7%. Among physicians correctly predicting admission, the admitting service was predicted accurately 88.6% of the time.

CONCLUSION

Physicians performed poorly at predicting which patients would be admitted at the time of triage, even when they were confident in their predictions. Conversely, physicians accurately predicted who would be discharged. Physicians predicted with reasonable accuracy the service to which patients were ultimately admitted. More research and operational assessment needs to be performed to determine if these predictions can help improve ED efficiency.

[Results of the implementation of a protocol for outpatient management of the paediatric patient with tuberculosis]

OBJECTIVE

To assess the results of the implementation of a protocol for the outpatient management of paediatric patients with tuberculosis, and to compare it with the previous approach.

MATERIAL AND METHODS

All patients younger than 14 years of age diagnosed with tuberculosis in Cantabria between 2005 and 2014 were included in the study. The pre-implementation period included patients admitted for gastric aspirate collection and to start treatment until 2010 (Pre-group). The post-implementation period was from 2010 onwards, using a protocol established for the outpatient management of these patients, with admission only being for clinical or social reasons, post-implantation period (Post-group).

RESULTS

A total of 82 patients were studied: 29 from the Pre-group and 53 from Post-group. The median age was 61 months (IQR 32.5-97.75). All patients in the Pre-group were systematically admitted, compared to 26.4% of the Post-group (P<.001). The mean hospital stay was higher (7.27±7.1 days) in the Pre-group than in Post-group (3.4±11.46 days) (P<.0001). Only in 6.9% of patients from Pre-group were the 3 microbiological samples recommended for diagnosis following the international guidelines were provided, whereas they were provided by 73.58% patients from Post-group (P<.001). Of the cultures performed, 26.6% were positive for Mycobacterium tuberculosis, 37.5% of the Pre-group and 21.6% of the Post-group (P=.121). No significant differences were observed between the groups in other parameters related to treatment such as, therapeutic adherence, treatment not adjusted to the guidelines, treatment withdrawal or relapse..

DISCUSSION

Although guidelines recommend three microbiological samples for culture, no superior microbiological isolation was detected despite the increased number of samples collected. The management in hospital clinics of patients with suspected tuberculosis with stable clinical situation show similar or better clinical and microbiological results to the previous management, with lower hospital admission rate and with the subsequent cost savings.

Geriatric syndromes, multimorbidity, and disability overlap and increase healthcare use among older Chinese

Background

Geriatric syndromes, multimorbidity, and disability are prevalent among ageing population. However, no study empirically examined their additive or synergistic effect on healthcare use. The present study aims to estimate overlapping prevalence of geriatric syndromes, multimorbidity, and disability; and to examine associations of these three conditions with healthcare use.

Methods

A cross-sectional study was conducted in community-dwelling older adults aged 60 and above in 12 Hong Kong districts. Pearson’s chi-squared test for trend was performed to examine prevalence of geriatric syndromes, multimorbidity, and disability across three age groups (60–69, 70–79, and ≥ 80). Multiple logistic regression was conducted to explore associations of these three conditions with three types of healthcare use (hospital admission, general outpatient clinic and specialist outpatient clinic attendance) respectively.

Results

Among 2618 participants, 75.3, 41.8, and 22.5% had geriatric syndromes, multimorbidity, and disability respectively, and 10.4% had all the three conditions. Prevalence of the three conditions and their coexistence significantly increased with age (p for trend < .001). Each condition was independently associated with at least two out of three types of healthcare use. Interestingly, the associations of multimorbidity and disability with specialist outpatient clinic attendance were weakened at older age, while the associations of geriatric syndromes with hospital admission and specialist outpatient clinic attendance were strengthened. Furthermore, the odds of all the three types of healthcare use increased with the number of conditions present (p for trend < .001).

Conclusions

Our findings support that the three conditions overlap and increase healthcare use. Early identification, prevention and intervention targeting older adults living with multiple healthcare needs are necessary.

Abortion-related emergency department visits in the United States: An analysis of a national emergency department sample

BACKGROUND

Media depictions and laws passed in state legislatures regulating abortion suggest abortion-related medical emergencies are common. An accurate understanding of abortion-related emergencies is important for informing policy and practice. We assessed the incidence of abortion-related emergency department (ED) visits in the United States (U.S.).

METHODS

We used a retrospective observational study design using 2009-2013 data from the Nationwide Emergency Department Sample, a nationally representative sample of U.S. ED visits from 947 to 964 hospitals across the U.S. per year. All ED visits among women of reproductive age (15-49) were included. We categorized ED visits by abortion relatedness and treatments received, and assessed whether the visit was for a major incident (defined as requiring blood transfusion, surgery, or overnight inpatient stay). We estimated the proportion of visits that were abortion-related and described the characteristics of patients making these visits, the diagnoses and subsequent treatments received by these patients, the sociodemographic and hospital characteristics associated with the incidents and observation care only (defined as receiving no treatments), and the rate of major incidents for all abortion patients in the U.S.

RESULTS

Among all ED visits by women aged 15-49 (189,480,685), 0.01% (n = 27,941) were abortion-related. Of these visits, 51% (95% confidence interval, 95% CI 49.3-51.9%) of the women received observation care only. A total of 20% (95% CI 19.3-21.3%) of abortion-related ED visits were for major incidents. One-fifth (22%, 95% CI 20.9-23.0%) of abortion-related visits resulted in admission to the same hospital for abortion-related reasons. Of the visits, 1.4% (n = 390, 95% CI 1.1-1.7%) were potentially due to attempts at self-induced abortion. In multivariable models, women using Medicaid (adjusted odds ratio, AOR 1.28, 95% CI 1.08-1.52) and women with a comorbid condition (AORs 2.47-4.63) had higher odds of having a major incident than women using private insurance and those without comorbid conditions. During the study period, 0.11% of all abortions in the U.S. resulted in major incidents as seen in EDs.

CONCLUSIONS

Abortion-related ED visits comprise a small proportion of women's ED visits. Many abortion-related ED visits may not be indicated or could have been managed at a less costly level of care. Given the low rate of major incidents, perceptions that abortion is unsafe are not based on evidence.

External validation of a decision tree early warning score using only laboratory data: A retrospective review of prospectively collected data

INTRODUCTION

Early warning scores (EWS) have been developed to identify the degree of illness severity among acutely ill patients. One system, The Laboratory Decision Tree Early Warning Score (LDT-EWS) is wholly laboratory data based. Laboratory data was used in the development of a rare computerized method, developing a decision tree analysis. This article externally validates LDT-EWS, which is obligatory for an EWS before clinical use.

METHOD

We conducted a retrospective review of prospectively collected data based on a time limited sample of all patients admitted through the medical admission unit (MAU) on a Danish secondary hospital. All consecutive adult patients admitted from 2 October 2008 until 19 February 2009, and from 23 February 2010 until 26 May 2010, were included. Validation was made by calculating the discriminatory power as area under the receiver-operating curve (AUROC) and calibration (precision) as Hosmer-Lemeshow Goodness of fit test.

RESULTS

A total of 5858 patients were admitted and 4902 included (83.7%). In-hospital mortality in our final dataset (n=4902) was 3.5%. Discriminatory power (95% CI), identifying in-hospital death was 0.809 (0.777-0.842). Calibration was good with a goodness-of-fit test of X²=5.37 (7 degrees of freedom), p=0.62.

CONCLUSION

LDT-EWS has acceptable ability to identify patients at high risk of dying during hospitalization with good precision. Further studies performing impact analysis are required before this score should be implemented in clinical practice.

Seasonality of hospital admissions and birth dates among inpatients with eating disorders: a nationwide population-based retrospective study

PURPOSE

Seasonal variation exists in the psychopathology of eating disorders. However, it is still unknown whether there is seasonal variation in eating disorder symptom severity. This study investigated seasonal trends in hospital admissions and birth dates among patients with eating disorders in Taiwan (25°N). Subgroup analyses by gender and comorbid affective disorders were also of interest.

METHODS

Data on all hospital admissions between 2000 and 2013 were collected from the Taiwan National Health Insurance Research Database, and 1954 patients with eating disorders were identified. Hospital admissions and birth dates were recorded by day. The four seasons and cross-seasons were defined by solstices and equinoxes. The expected distribution of births was determined using data from all patients hospitalized from 2000 to 2013 (n = 13,139,306).

RESULTS

Hospital admissions among patients with eating disorders exceeded the rate of expected hospital admissions in the summer season (p < 0.001) and the autumn cross-season (p < 0.001). However, the seasonal (p = 0.421) and cross-seasonal (p = 0.24) distributions of birth dates among these patients did not differ from the expected distributions. Interestingly, hospital admissions among patients with comorbid affective disorders exceeded the rates of hospital admissions among non-affective patients during the spring (p = 0.004). Moreover, the number of non-affective patients born during autumn exceeded the birth rates of affective patients during this season (p = 0.001). Gender and comorbid affective disorders were not associated with cross-seasonal differences in either hospitalizations or dates of birth.

CONCLUSIONS

Affective psychopathology in inpatients with eating disorders may substantially contribute to symptom severity that waxes and wanes with the seasons. Moreover, the seasonal distribution of birth dates was significantly different in patients without comorbid affective disorders.

Mental disorders around cancer diagnosis and increased hospital admission rate - a nationwide cohort study of Swedish cancer patients

Background

Whether the emotional distress around cancer diagnosis is associated with the long-term outcomes and care utilization is unknown. We aimed to examine the association of mental disorders around cancer diagnosis with the hospital admission rates of cancer patients thereafter.

Methods

We conducted a nationwide cohort study including 218,508 cancer patients diagnosed in Sweden during 2004–2009 and followed them from 90 days after cancer through 2010. We used a clinical diagnosis of stress-related mental disorders from 90 days before to 90 days after cancer diagnosis as the exposure. We studied first all hospital admissions and then separately three common admissions, including external injuries, infections, and cardiovascular diseases. The Cox model was used to estimate hazard ratios (HRs) with 95% confidence intervals (CIs).

Results

Four thousand one hundred five patients received a diagnosis of stress-related mental disorders around the cancer diagnosis, and experienced a 35% increased rate of any hospital admission during follow-up (HR: 1.35, 95%CI: 1.28–1.41) as well as hospital admissions for external injuries (HR: 1.89, 95%CI: 1.67–2.14), infections (HR: 1.28, 95%CI: 1.08–1.52), and cardiovascular diseases (HR: 1.16, 95%CI: 1.03–1.30). Similar association was noted for most common cancer types.

Conclusions

These data suggest that cancer patients diagnosed with a stress-related mental disorder immediately before or after cancer diagnosis are subsequently at increased risk of hospital admissions for major comorbidities of cancer.

Electronic supplementary material

The online version of this article (10.1186/s12885-018-4270-4) contains supplementary material, which is available to authorized users.

Effect of increasing temperature on daily hospital admissions for schizophrenia in Hefei, China: a time-series analysis

OBJECTIVE

To investigate the relationship between ambient temperature and hospital admissions for schizophrenia in Hefei, China.

STUDY DESIGN

An ecological design was used to explore the effect of ambient temperature on hospital admissions for schizophrenia.

METHODS

Daily data on hospital admissions for schizophrenia and meteorological data for the warm season (May-October) in 2005-2014 were obtained from Anhui Mental Health Centre and Hefei Bureau of Meteorology, respectively. Poisson generalised linear regression model combined with a distributed lag non-linear model was used to analyse the effects of temperature on admissions for schizophrenia. Stratified analyses according to individual characteristics, such as age and sex, were also conducted.

RESULTS

A significant relationship was found between ambient temperature and admissions for schizophrenia. High temperature appeared to have a delayed effect on admissions for schizophrenia, and a temperature of 28°C (75th percentile) at lag 0-4 days was associated with a 7% (95% confidence interval: 4-11%) increase in admissions for schizophrenia. Stratified analyses showed that male patients, patients aged 21-60 years and married patients were more vulnerable to high temperature, and the temperature effects for those groups occurred at a lag of 1 day.

CONCLUSION

High temperature poses significant risks for schizophrenia in subtropical regions. Future preventive measures for reducing the occurrence of schizophrenia should be considered for susceptible populations.

Lactate clearance as a prognostic marker of mortality in severely ill febrile children in East Africa

BACKGROUND

Hyperlactataemia (HL) is a biomarker of disease severity that predicts mortality in patients with sepsis and malaria. Lactate clearance (LC) during resuscitation has been shown to be a prognostic factor of survival in critically ill adults, but little data exist for African children living in malaria-endemic areas.

METHODS

In a secondary data analysis of severely ill febrile children included in the Fluid Expansion as Supportive Therapy (FEAST) resuscitation trial, we assessed the association between lactate levels at admission and LC at 8 h with all-cause mortality at 72 h (d72). LC was defined as a relative lactate decline ≥ 40% and/or lactate normalisation (lactate < 2.5 mmol/L).

RESULTS

Of 3170 children in the FEAST trial, including 1719 children (57%) with Plasmodium falciparum malaria, 3008 (95%) had a baseline lactate measurement, 2127 (71%) had HL (lactate ≥ 2.5 mmol/L), and 1179 (39%) had severe HL (≥ 5 mmol/L). Within 72 h, 309 children (10.3%) died, of whom 284 (92%) had baseline HL. After adjustment for potential confounders, severe HL was strongly associated with mortality (Odds Ratio (OR) 6.96; 95% CI 3.52, 13.76, p < 0.001). This association was not modified by malaria status, despite children with malaria having a higher baseline lactate (median 4.6 mmol/L vs 3 mmol/L; p < 0.001) and a lower mortality rate (OR = 0.42; p < 0.001) compared to non-malarial cases. Sensitivity and specificity analysis identified a higher lactate on admission cut-off value predictive of d72 for children with malaria (5.2 mmol/L) than for those with other febrile illnesses (3.4 mmol/L). At 8 h, 2748/3008 survivors (91%) had a lactate measured, 1906 (63%) of whom had HL on admission, of whom 1014 (53%) fulfilled pre-defined LC criteria. After adjustment for confounders, LC independently predicted survival after 8 h (OR 0.24; 95% CI 0.14, 0.42; p < 0.001). Absence of LC (< 10%) at 8 h was strongly associated with death at 72 h (OR 4.62; 95% CI 2.7, 8.0; p < 0.001).

CONCLUSIONS

Independently of the underlying diagnosis, HL is a strong risk factor for death at 72 h in children admitted with severe febrile illnesses in Africa. Children able to clear lactate within 8 h had an improved chance of survival. These findings prompt the more widespread use of lactate and LC to identify children with severe disease and monitor response to treatment.

TRIAL REGISTRATION

ISRCTN69856593 Registered 21 January 2009.

Can an Emergency Department Observation Unit Reduce Hospital Admissions for COPD Exacerbation?

Studies on observation unit (OU) use to avoid a hospital admission from the emergency department (ED) have found variable effects on health care resource utilization, and these effects have not been studied in acute exacerbation of chronic obstruction pulmonary disease (AECOPD). We retrospectively collected data for all AECOPD-related ED visits (age > 40) to an urban, academic medical center between February 2013 and April 2017. We examined the total proportion of visits admitted to the hospital before and after availability of an OU and the proportion of visits discharged directly from the ED using segmented regression analysis. There was a 12.8% reduction in hospital admissions after OU availability (79.6 vs. 66.8%, p = 0.0049) without a change in the proportion discharged directly from the ED (p = 0.65). The availability of an OU can decrease hospital AECOPD admissions without affecting the number of patients discharged directly from the ED.

Integrating electronic healthcare records of armed forces personnel: Developing a framework for evaluating health outcomes in England, Scotland and Wales

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A framework which integration national Electronic Healthcare Record datasets from England, Scotland and Wales is proposed.

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Variable similarity is used to develop a schema which allows for variables to be linked and combined across the nations.

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Evaluation of integration shows that it is possibly to perform data linkage across the nations.

Background

Electronic Healthcare Records (EHRs) are created to capture summaries of care and contact made to healthcare services. EHRs offer a means to analyse admissions to hospitals for epidemiological research. In the United Kingdom (UK), England, Scotland and Wales maintain separate data stores, which are administered and managed exclusively by devolved Government. This independence results in harmonisation challenges, not least lack of uniformity, making it difficult to evaluate care, diagnoses and treatment across the UK. To overcome this lack of uniformity, it is important to develop methods to integrate EHRs to provide a multi-nation dataset of health.

Objective

To develop and describe a method which integrates the EHRs of Armed Forces personnel in England, Scotland and Wales based on variable commonality to produce a multi-nation dataset of secondary health care.

Methods

An Armed Forces cohort was used to extract and integrate three EHR datasets, using commonality as the linkage point. This was achieved by evaluating and combining variables which shared the same characteristics. EHRs representing Accident and Emergency (A&E), Admitted Patient Care (APC) and Outpatient care were combined to create a patient-level history spanning three nations. Patient-level EHRs were examined to ascertain admission differences, common diagnoses and record completeness.

Results

A total of 6,336 Armed Forces personnel were matched, of which 5,460 personnel had 7,510 A&E visits, 9,316 APC episodes and 45,005 Outpatient appointments. We observed full completeness for diagnoses in APC, whereas Outpatient admissions were sparsely coded; with 88% of diagnoses coded as “Unknown/unspecified cause of morbidity”. In addition, A&E records were sporadically coded; we found five coding systems for identifying reason for admission.

Conclusion

At present, EHRs are designed to monitor the cost of treatment, enable administrative oversight, and are not currently suited to epidemiological research. However, only small changes may be needed to take advantage of what should be a highly cost-effective means of delivering important research for the benefit of the NHS.

Improving the rehabilitation of older people after emergency hospital admission

PURPOSE

Older adults are at risk of functional decline during emergency hospital admissions. This review aims to understand which exercise-based interventions are effective in improving function for older adults who experience unplanned admissions.

METHODS

Database searches identified randomised control trials (RCTs) comparing exercise-based interventions with usual hospital care. The primary outcome was functional status measured by activities of daily living (ADL) scores. Secondary outcomes were length of hospital stay (LOS), mortality and readmissions. Sub-group meta-analyses were conducted on interventions delivered in-hospital only compared with interventions provided both in hospital and after discharge.

RESULTS

After reviewing 8365 studies, nine were eligible for inclusion. Seven were included in the meta-analysis. Participants from five countries had a mean age of 79 years (1602 participants). Usual care varied considerably and the interventions showed heterogeneity, with different combinations of strengthening, resistance, high-intensity or mobility exercises. There were limited descriptions of exercise intervention delivery and participant adherence. There is low-quality evidence supporting exercise interventions that have both in-hospital and post-discharge components (3 trials, SMD 0.56 (-0.02, 1.13)). Trials involving only in-hospital interventions were inconclusive for functional gains (5 trials, SMD -0.04 (-0.31, 0.22)).

CONCLUSIONS

Exercise-based rehabilitation for older patients after emergency hospitalisation improves functional ability if the intervention starts in hospital and continues after discharge. No conclusions can be made regarding the effective exercise 'dose' or content.

IMPLICATIONS

Understanding the components of exercise interventions will improve service planning and delivery. Further studies are needed to understand the effective 'dose' and content of exercise for hospitalised older adults.

Effects of smoke-free air law on acute myocardial infarction hospitalization in Indianapolis and Marion County, Indiana

BACKGROUND

A comprehensive smoke-free air law was enacted on June 1, 2012 in most of Marion County, Indiana, including all of the City of Indianapolis. We evaluated changes in acute myocardial infarction (AMI) admission rates in Indianapolis and Marion County before compared to after the law.

METHODS

We collected AMI admissions from five Marion County hospitals between May 2007 and December 2014. We used Poisson regression to evaluate the overall effects of the law on monthly AMI hospitalizations, adjusting for month, seasonality, meteorology, air pollution, and hospital utilization. We tested the interactions between the law and AMI risk factors on monthly AMI admission rates to identify subpopulations for which the effects might be stronger.

RESULTS

Monthly AMI admissions declined 20% (95% CI 14-25%) in Marion County and 25% (95% CI 20-29%) in Indianapolis after the law was implemented. We observed decreases among never (21%, 95% CI 13-29%), former (28%, 95% CI 21-34%), and current smokers (26%, 95% CI 11-38%); Medicaid beneficiaries (19%, 95% CI 9-29%) and non-beneficiaries (26%, 95% CI 20-31%). We observed decreases among those with a history of diabetes (Yes: 22%, 95% CI 14-29%; No: 25%, 95% CI 18-31%), congestive heart failure (Yes: 23%, 95% CI 16-30%; No: 24%, 95% CI 17-31%), and hypertension (Yes: 23%, 95% CI 17-28%: No: 26%, 95% CI 15-36%).

CONCLUSIONS

We observed decreases in AMI admissions comparable with previous studies. We identified subpopulations who benefitted from the law, such as former and current smokers, and those without comorbidities such as congestive heart failure and hypertension.

Ambient air pollution and daily hospital admissions for mental disorders in Shanghai, China

Few studies have investigated the associations between ambient air pollution and mental disorders (MDs), especially in developing countries. We conducted a time-series study to explore the associations between six criteria air pollutants and daily hospital admissions for MDs in Shanghai, China, from 2013 to 2015. The MDs data were derived from the Shanghai Health Insurance System. We used over-dispersed, generalized additive models to estimate the associations after controlling for time trend, weather conditions, day of the week, and holidays. In addition, we evaluated the effect of modification by age, sex, and season. A total of 39,143 cases of hospital admissions for MDs were identified during the study period. A 10-μg/m³ increase in 2-day, moving-average concentration of inhalable particulate matter, sulfur dioxide (SO₂), and carbon monoxide was significantly associated with increments of 1.27% [95% confidence interval (CI): 0.28%, 2.26%], 6.88% (95% CI, 2.75%, 11.00%), and 0.16% (95% CI: 0.02%, 0.30%) in daily hospital admissions for MDs, respectively. We observed positive but insignificant associations of fine particulate matter, nitrogen dioxide and ozone. The estimated association of SO₂ was relatively robust to the adjustment of simultaneous exposure to other pollutants. We found generally stronger associations of air pollutants with MDs in warm seasons than in cool seasons. There were no significant differences in the associations between different sex and age groups. This study suggested that short-term exposure to air pollution, especially to sulfur dioxide, was associated with increased risk of hospital admissions for MDs in Shanghai, China.