Tuberculosis, COVID-19 and hospital admission: Consensus on pros and cons based on a review of the evidence

The scientific debate on the criteria guiding hospitalization of tuberculosis (TB) and COVID-19 patients is ongoing. The aim of this review is to present the available evidence on admission for TB and TB/COVID-19 patients and discuss the criteria guiding hospitalization. Furthermore, recommendations are made as derived from recently published World Health Organization documents, based on Global Tuberculosis Network (GTN) expert opinion. The core published documents and guidelines on the topic have been reviewed. The proportion of new TB cases admitted to hospital ranges between 50% and 100% while for multidrug-resistant (MDR) TB patients it ranges between 85 and 100% globally. For TB patients with COVID-19 the proportion of cases admitted is 58%, probably reflecting different scenarios related to the diagnosis of COVID-19 before, after or at the same time of the active TB episode. The hospital length of stay for drug-susceptible TB ranges from 20 to 60 days in most of countries, ranging from a mean of 10 days (USA) to around 90 days in the Russian Federation. Hospitalization is longer for MDR-TB (50-180 days). The most frequently stated reasons for recommending hospital admission include: severe TB, infection control concerns, co-morbidities and drug adverse events which cannot be managed at out-patient level. The review also provides suggestions on hospital requirements for safe admissions as well as patient discharge criteria, while underlining the relevance of patient-centred care through community/home-based care.

Association between exposure to ambient air pollution and hospital admission, incidence, and mortality of stroke: an updated systematic review and meta-analysis of more than 23 million participants

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_2.5, particulate matter with aerodynamic diameter less than 2.5 μm; PM₁₀, particulate matter with aerodynamic diameter less than 10 μm; NO₂, nitrogen dioxide; SO₂, sulfur dioxide; CO, carbon monoxide; O₃, ozone) and stroke (hospital admission, incidence, and mortality). Fixed- or random-effects model was used to calculate pooled odds ratios (OR)/hazard ratio (HR) and their 95% confidence intervals (CI) for a 10 μg/m³ increase in air pollutant concentration.

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_2.5: OR = 1.008 (95% CI 1.005, 1.011); NO₂: OR = 1.023 (95% CI 1.015, 1.030), per 10 μg/m³ increases in air pollutant concentration). Exposure to PM_2.5, SO₂, and NO₂ was associated with increased risks of stroke incidence (PM_2.5: HR = 1.048 (95% CI 1.020, 1.076); SO₂: HR = 1.002 (95% CI 1.000, 1.003); NO₂: HR = 1.002 (95% CI 1.000, 1.003), respectively). However, no significant differences were found in associations of PM₁₀, CO, O₃, and stroke incidence. Except for CO and O₃, we found that higher level of air pollution (PM_2.5, PM₁₀, SO₂, and NO₂) exposure was associated with higher stroke mortality (e.g., PM₁₀: OR = 1.006 (95% CI 1.003, 1.010), SO₂: OR = 1.006 (95% CI 1.005, 1.008).

CONCLUSIONS

Exposure to air pollution was positively associated with an increased risk of stroke hospital admission (PM_2.5, PM₁₀, SO₂, NO₂, CO, and O₃), incidence (PM_2.5, SO₂, and NO₂), and mortality (PM_2.5, PM₁₀, SO₂, and NO₂). Our study would provide a more comprehensive evidence of air pollution and stroke, especially SO₂ and NO₂.

The five-repetition sit-to-stand test is a predictive factor of severe exacerbations in COPD

Background:

Although the six-minute-walk test (6MWT) has been used to predict chronic obstructive pulmonary disease (COPD) exacerbations, additional research is necessary to identify more rapid, simpler tests that are directly associated with exacerbations, such as the five-repetition sit-to-stand (5STS) test and 4-m gait speed (4MGS) test.

Aims:

To determine the ability of the 5STS and 4MGS tests in predicting severe exacerbations in stable COPD over the following year, and to assess the ability of the best prognostic test to identify patients at high risk of hospital admission correctly.

Methods:

This prospective study included 137 patients with stable COPD. Multiple logistic regression models were constructed to assess whether the 6MWT, 5STS, and 4MGS tests were associated with severe exacerbations in the year following the test. Receiver-operating characteristic curves and the area under the curve (AUC) were evaluated to determine the accuracy of each test for identifying patients with severe exacerbations.

Results:

Scores of <350 m for the 6WMT and ⩽2 for the 5STS test were associated with severe exacerbations in the model adjusted for age and the number of exacerbations in the previous year. The 5STS test and the 6MWT had very similar predictive and discriminative abilities. Odds ratios were 3.20 (95% confidence interval [CI] 1.14–8.96) and 3.84 (95% CI 1.14–12.94) and AUCs were 0.793 (95% CI 0.704–0.882) and 0.783 (95% CI 0.686–0.879), respectively.

Conclusions:

The 5STS test predicted the risk of severe exacerbation within the following year among patients with COPD. The 5STS test could replace the 6MWT for identifying patients at high risk of hospital admission.

Factors associated with admission to bed-based care: observational prospective cohort study in a multidisciplinary same day emergency care unit (SDEC)

BACKGROUND

The development of ambulatory emergency care services, now called 'Same Day Emergency Care' (SDEC) has been advocated to provide sustainable high quality healthcare in an ageing population. However, there are few data on SDEC and the factors associated with successful ambulatory care in frail older people. We therefore undertook a prospective observational study to determine i) the clinical characteristics and frailty burden of a cohort in an SDEC designed around the needs of older patients and ii) the factors associated with hospital admission within 30-days after initial assessment.

METHODS

The study setting was the multidisciplinary Abingdon Emergency Medical Unit (EMU) located in a community hospital and led by a senior interface physician (geriatrician or general practitioner). Consecutive patients from August-December 2015 were assessed using a structured paper proforma including cognitive/delirium screen, comorbidities, functional, social, and nutritional status. Physiologic parameters were recorded. Illness severity was quantified using the Systemic Inflammatory Response Syndrome (SIRS> 1). Factors associated with hospitalization within 30-days were determined using multivariable logistic regression.

RESULTS

Among 533 patients (median (IQR) age = 81 (68-87), 315 (59%) female), 453 (86%) were living at home but 283 (54%) required some form of care and 299 (56%) had Barthel< 20. Falls, urinary incontinence and dementia affected 81/189 (43%), 50 (26%) and 40 (21%) of those aged > 85 years." Severe illness was present in 148 (28%) with broadly similar rates across age groups. Overall, 210 (39%) patients had a hospital admission within 30-days with higher rates in older patients: 96 (87%) of < 65 years remained on an ambulatory pathway versus only 91 (48%) of ≥ 85 years (p < 0.0001). Factors independently associated with hospital admission were severe illness (SIRS/point, OR = 1.46,95% CI = 1.15-1.87, p = 0.002) and markers of frailty: delirium (OR = 11.28,3.07-41.44, p < 0.0001), increased care needs (OR = 3.08,1.55-6.12, p = 0.001), transport requirement (OR = 1.92,1.13-3.27), and poor nutrition (OR = 1.13-3.79, p = 0.02).

CONCLUSIONS

Even in an SDEC with a multidisciplinary approach, rates of hospital admission in those with severe illness and frailty were high. Further studies are required to understand the key components of hospital bed-based care that need to be replicated by models delivering acute frailty care closer to home, and the feasibility, cost-effectiveness and patient/carer acceptability of such models.

Pediatric acute otitis externa: Characteristics and predictors for hospital admission

BACKGROUND

Acute otitis externa (AOE), is a common infectious disease affecting children and adults. Its peak prevalence is around the summer months, it involves the external auditory canal and in most cases is due to bacterial agents.

METHODS

This is a retrospective observational analytical case-based study involving all consecutive patients under the age of 18 years old presenting with AOE to a pediatric emergency department.

RESULTS

We collected data from 337 patients under 18 years of age with 344 visits to the Emergency Department, between the years 2011-2018. Nearly half of the visits presented during the summer months. Children were divided into two subgroups: hospitalized and non-hospitalized. Median hospitalization time was 3 days. The hospitalized sub-group had higher rates of failed treatment, as well as higher rates of external ear canal edema, systemic fever, canal discharge and auricular edema. On multivariable analysis the following variables had the strongest correlation for hospital admission: auricular edema (OR 27.98), otorrhea (OR 1.82), narrowing of the ear canal by more than 50% (OR 1.91), fever (OR 2.92), and previous systemic treatment (OR 2.53). Pseudomonas aeruginosa (PA) was isolated in 78% of cultures in the hospitalized sub-group. All PA strains were sensitive to ciprofloxacin.

CONCLUSIONS

This study highlights the main clinical variables which may predict hospitalization among children with AOE as well as the dominant role of sensitive strains of PA in the pathogenesis of this condition in children.

Association between extreme heat and hospital admissions for cataract patients in Hefei, China

Cataract is the first cause of blindness and the major cause of visual impairment worldwide. Under conditions of global warming, researchers have begun to give attention to the influence of increasing temperature on cataract patients. Our paper aimed to investigate the association between extreme heat and hospital admissions for cataract in Hefei, China. Based on data from the New Rural Cooperative Medical System and National Meteorological Information Center, we used a generalized additive model and a distributed lag nonlinear model to examine the relationship between extreme heat and hospitalizations for cataract, with consideration of cumulative and lagged effects. When current mean temperature was above 28 °C, each 1 °C rise was associated with a 4% decrease in the number of cataract admissions (RR = 0.96, 95% CI = 0.94-0.98). The cumulative relative risk over 11 days of lag was the lowest, which indicated that every 1 °C increase in mean temperature above 28 °C was associated with a 19% decrease in the number of hospital admissions for cataract (RR = 0.81, 95% CI = 0.75-0.88). In subgroup analyses, the negative association between extreme heat and hospital admissions for cataract was stronger among patients who were not admitted to provincial-level hospitals. In conclusion, this paper found that extreme heat was negatively associated with cataract hospitalizations in Hefei, providing useful information for hospitals and policymakers.

Clinical and microbiological monitoring of Cystic Fibrosis patients, three years of follow-up via Tele-Medicine: an empirical research

OBJECTIVES

Evaluation of the effectiveness of home care through a telemonitoring system in reducing the incidence of new colonization by Pseudomonas Aeruginosa in a population of patients with Cystic Fibrosis (CF) followed by the CF clinic of the Bambino Gesù Hospital in Rome over a period of 36 months.

MATERIALS AND METHODS

Two groups of patients were recruited, homogeneous for age, sex, BMI, FEV1, prevalence of CF-related Diabetes and CF-related Hepatopathy, access to new therapies with modulators: a) an IN group (N = 44 ) followed through a home telemonitoring system, b) an OUT control group (N = 110) followed according to the standards of care. The following parameters were detected for all patients: pulmonary colonization of the lungs, number and type of hospital admissions, respiratory function, BMI.

RESULT

The OUT group had a statistically significant increase in the prevalence of Pseudomonas Aeruginosa infections during the observation period. Furthermore, a significant decrease in lung function assessed through FEV1 was also observed in the OUT group.

CONCLUSION

Adolescent and adult patients belonging to the CF center who are not followed through the dedicated home telemonitoring service show, in the three-year period 2017-19, an increase in Pseudomonas Aeruginosa infections and a greater decrease in respiratory function. The use of telemedicine in CF is therefore an effective system not only in monitoring the disease but also as a treatment strategy, in the context of an evolving multidisciplinary model. As advantages, telemedicine can reduce the number of Pseudomonas Aeruginosa lung infections and the greater stability of respiratory function over time.

Temporal variations of short-term effects of particulate matter on hospital admissions in the most densely populated city in Thailand

Short-term effects of ambient particulate matter (PM) on daily hospital admissions have been comprehensively elucidated, but very few studies evaluated the temporal variations of ambient PM associated with hospital admissions, especially in developing countries. This study aimed to explore the temporal changes of the short-term effects of PM₁₀ on hospital admissions in Bangkok, Thailand from 2006 to 2014. The overdispersed Poisson regression model was applied to related daily PM₁₀ concentrations to daily cardiovascular and respiratory hospital admissions by adjusting for temperature, humidity, long-term trend and seasonality, day of the week, public holiday, and population dynamics. The temporal variations of the effects of PM₁₀ on hospital admissions were assessed by adding an interaction term between PM₁₀ concentration and predefined time periods into the model. The relative risks per 10 μg/m³ increase in PM₁₀ were 1.0092 (95% CI: 1.0046, 1.0138) for cardiovascular admissions at lag 0-3 day and 1.0209 (95% CI: 1.0145, 1.0273) for respiratory admissions at lag 0-7 day over the entire study period. Despite non-homogenous decreasing trends in annual PM₁₀ concentrations during the study period, the effects of PM₁₀ on cardiovascular and respiratory admissions remained significant and even showed an increasing trend for cardiovascular admissions. Specifically, the relative risks of cardiovascular admission per 10 μg/m³ increase in PM₁₀ were 1.0050 (95% CI: 0.9965, 1.0135), 1.0086 (95% CI: 1.0000, 1.0174), and 1.0103 (95% CI: 1.0041, 1.0165) for the period of 2006-2008, 2009-2011, and 2012-2014, respectively (p-value for interaction <0.01). This finding indicated that estimated effects of PM₁₀ on cardiovascular admissions significantly changed over time, speculating that the composition of PM₁₀ might have changed and introduced the alterations of overall toxicity of PM₁₀. Therefore, the efforts on air pollution control need to be continued to reduce health effects of PM₁₀ in the future.

Revalue associations of short-term exposure to air pollution with respiratory hospital admissions in Lanzhou, China after the control and treatment of current pollution

Significant progress has been made in air pollution control Lanzhou, China recently, however, there was only one study so far on the assessment on health gains from air quality improvement after adopting strict air pollution control measures. The present study aimed to estimate the short-term effects of six criteria air pollutants including PM_2.5, PM₁₀, NO₂, SO₂, CO and O₃ on respiratory admissions in Lanzhou, China, then compare the results of our study with those earlier studies conducted in Lanzhou before the implementation of air pollution control measures. Data on daily hospital admissions from the three largest hospitals in Lanzhou and daily air pollution concentration and meteorological variable were collected during a 4-year period (2014-2017). A generalized additive model; adjusted for long-term trend, seasonality, and other potential confounders was done to quantitatively assess the influences of air pollutants on daily respiratory admissions and analyze the influences of different seasons, sexes, and age groups. The most apparent effects for PM_2.5, PM₁₀, SO₂, CO and O₃ on respiratory hospitalizations were observed at lag6, and lag7, respectively, and a 10μg/m₃ increase in PM_2.5, PM₁₀, SO₂, CO and O₃ concentration were associated with 0.885% (95%CI: 0.414%~1.358%), 0.328% (95%CI: 0.145%~0.511%), 3.005% (95%CI: 1.689%~4.339%), 3.199% (95%CI: 0.912%~5.537%) for CO, 0.733% (95%Cl: 0.263%~1.205%) increase in respiratory admission, respectively. No remarkable association was found between NO₂ and respiratory disease hospitalisation. Females and younger groups were more susceptible to air pollutant than males and elderly groups. Together, we demonstrated that the positive associations were more pronounced in the cold season than in the warm season. The findings in present study suggest that even in Lanzhou, where air quality has been improved dramatically, positive associations still exist between air pollution and daily number of total respiratory admission.

Clinical characteristics of hospitalized and home isolated COVID-19 patients with type 1 diabetes

BACKGROUND AND AIMS

To elucidate the clinical features of COVID-19 patients with type 1 diabetes (T1D) under hospitalization and home isolation conditions.

METHOD

This retrospective study was conducted among 32 patients with COVID-19 and T1D, who sought treatment at the Prince Sultan Military Medical City, Riyadh, Saudi Arabia between May 01, 2020 and July 30, 2020. Patients data were extracted from electronic medical records.

RESULTS

Of the total of 32 COVID-19 patients with T1D, 21.9% required hospitalization, while 78.1% underwent home isolation. Among the study population, 9.4% (3/32) were reported to have hypertension, 21.9% (7/32) had chronic pulmonary disease (CPD), 18.8% (6/32) had thyroid disorders, and 18.8% (6/32) had the celiac disease. Of the 32 studied patients, 68.8% (22/32) of them were reported as normal, while 28.1% (9/32) had chronic kidney disease (CKD) II and 3.1% (1/32) had end-stage renal failure. The most common symptoms observed among the hospitalized patients were nausea and vomiting (71.4%; 5/7), followed by fever (57.1%; 4/7), cough (42.8%; 3/7), sore throat (42.8%; 3/7), abdominal pain (42.8%; 3/7) and dyspnea (42.%; 3/7). The most common reasons for hospitalization were diabetic ketoacidosis (71.4%; 5/7) followed by bacterial pneumonia (14.3%; 1/7), fever (14.3%; 1/7), sore throat (14.3%; 1/7), severe hyperglycemia (14.3%; 1/7) and COVID-19 pneumonia (14.3%; 1/7). Except the severity of COVID-19 (p = 0.0001), none of the demographic and clinical parameters indicated statistically significant differences between patients requiring hospitalization and home isolation.

CONCLUSION

Majority of the COVID-19 patients with T1D recovered with conservative treatment at home. Diabetic ketoacidosis was the most common reason for hospitalization.

Short term effects of air pollutants on hospital admissions for respiratory diseases among children: A multi-city time-series study in China

Evidence concerning short-term acute association between air pollutants and hospital admissions for respiratory diseases among children in a multi-city setting was quite limited. We conducted a time-series analysis to evaluate the association of six common air pollutants with hospital admissions for respiratory diseases among children aged 0-14 years in 4 cities (Guangzhou, Shanghai, Wuhan and Xining), China during 2013-2018. We used generalized additive models incorporating penalized smoothing splines and random-effect meta-analysis to calculate city-specific and pooled estimates, respectively. The exposure-response relationship curves were fitted using the cubic spline regression. Subgroup analyses by gender, age, season and disease subtype were also performed. A total of 183,036 respiratory diseases hospitalizations were recorded during the study period, and 94.1% of the cases were acute respiratory infections. Overall, we observed that increased levels of air pollutants except O₃, were significantly associated with increased hospital admissions for respiratory disease. Each 10 μg/m³ increase in PM_2.5, SO₂ and NO₂ at lag 07, PM₁₀ at lag 03 and per 1 mg/m³ increase in CO at lag 01 corresponded to increments of 1.19%, 3.58%, 2.23%, 0.51% and 6.10% in total hospitalizations, respectively. Generally, exposure-response relationships of PM_2.5 and SO₂ in Guangzhou, SO₂, NO₂ and CO in Wuhan, as well as SO₂ and NO₂ in Xining with respiratory disease hospitalizations were also found. Moreover, the adverse effects of these pollutants apart from PM_2.5 in certain cities remained significant even at exposure levels below the current Chinese Ambient Air Quality Standards (CAAQS) Grade II. Children aged 4-14 years appeared to be more vulnerable to the adverse effects of PM_2.5, SO₂ and NO₂. Furthermore, with the exception of O₃, the associations were stronger in cold season than in warm season. Short-term exposure to PM_2.5, SO₂, NO₂ and CO were associated, in dose-responsive manners, with increased risks of hospitalizations for childhood respiratory diseases, and adverse effects of air pollutants except PM_2.5 held even at exposure levels below the current CAAQS Grade II in certain cities.

The hospital care of patients with cancer: a retrospective analysis of the characteristics of their hospital stay in comparison with other medical conditions

PURPOSE

Hospital admission is a frequent occurrence among patients with cancer, and a significant proportion of patients admitted to medical units have cancer. Their hospital stay has features that may be different compared with patients without cancer. We performed a retrospective analysis of the characteristics of patients with cancer admitted for medical conditions.

PATIENTS AND METHODS

We studied the administrative data of patients with solid cancer admitted to the medical department of a large referral hospital over a 12-month period and compared them with those of patients without cancer.

RESULTS

Seven thousand eight hundred two consecutive admissions were analysed, of which 1099 (14.1%) had a principal or associated diagnosis of cancer. Admissions were distributed across 12 units, with 44% concentrated in the medical oncology unit and 56% in other units. Patients with cancer were more frequently men and were younger than patients without cancer. Admission less frequently involved the emergency department (ED), while discharge was more frequently assisted. The in-hospital death rate was higher, as was the readmission rate. Length of stay was longer (11.3 days vs. 9.8 days; p < 0.0001). Patients with cancer admitted to the medical oncology unit used the ED even less, and their length of stay was shorter than that of patients with cancer admitted in other units.

CONCLUSIONS

The in-hospital pathway of patients with cancer displays specific issues and adds complexity to hospital stay of patients with medical conditions. The medical oncology unit plays a role in reducing ED use and in providing efficient care. The evidence gathered should help in shaping new models of care and in improving adequate clinical competencies.

Characteristics of traumatic brain injury patients with abnormal neuroimaging in Southeast Norway

Background

The vast majority of hospital admitted patients with traumatic brain injury (TBI) will have intracranial injury identified by neuroimaging, requiring qualified staff and hospital beds. Moreover, increased pressure in health care services is expected because of an aging population. Thus, a regular evaluation of characteristics of hospital admitted patients with TBI is needed. Oslo TBI Registry – Neurosurgery prospectively register all patients with TBI identified by neuroimaging admitted to a trauma center for southeast part of Norway. The purpose of this study is to describe this patient population with respect to case load, time of admission, age, comorbidity, injury mechanism, injury characteristics, length of stay, and 30-days survival.

Methods

Data for 5 years was extracted from Oslo TBI Registry – Neurosurgery. Case load, time of admission, age, sex, comorbidity, injury mechanism, injury characteristics, length of stay, and 30-days survival was compiled and compared.

Results

From January 1st, 2015 to December 31st, 2019, 2153 consecutive patients with TBI identified by neuroimaging were registered. The admission rate of TBI of all severities has been stable year-round since 2015. Mean age was 52 years (standard deviation 25, range 0–99), and 68% were males. Comorbidities were common; 28% with pre-injury ASA score of ≥3 and 25% used antithrombotic medication. The dominating cause of injury in all ages was falls (55%) but increased with age. Upon admission, the head injury was classified as mild TBI in 46%, moderate in 28%, and severe (Glasgow coma score ≤ 8) in 26%. Case load was stable without seasonal variation. Majority of patients (68%) were admitted during evening, night or weekend. 68% was admitted to intensive care unit. Length of hospital stay was 4 days (median, interquartile range 3–9). 30-day survival for mild, moderate and severe TBI was 98, 94 and 69%, respectively.

Conclusions

The typical TBI patients admitted to hospital with abnormal neuroimaging were aged 50–79 years, often with significant comorbidity, and admitted outside ordinary working hours. This suggests the necessity for all-hour presence of competent health care professionals.

Exploring trends in admissions and treatment for ankle fractures: a longitudinal cohort study of routinely collected hospital data in England

BACKGROUND

Evidence on the most effective and cost-effective management of ankle fractures is sparse but evolving. A recent large RCT in older patients with unstable fractures found that management with close-contact-casting was functionally equivalent and more cost-effective than internal fixation. We describe temporal and geographic variation in ankle fracture management and estimate the potential savings if close-contact-casting was used more often in older patients.

METHODS

Patients admitted to hospital in England between 2007/08 and 2016/17 with an ankle fracture were identified using routine hospital episode statistics. We tested whether the use of internal fixation, and the proportion of internal fixations using intramedullary implants, changed over time. We estimated the potential annual cost savings if patients aged 60+ years were treated with close-contact-casting rather than internal fixation, in line with emerging evidence.

RESULTS

Over the 10-year period, there were 223,465 hospital admissions with a primary ankle fracture diagnosis. The incidence (per 100,000) of internal fixation was fairly consistent over time in younger (33.2 in 2007/08, 30.9 in 2016/17) and older (36.5 in 2007/08, 37.4 in 2016/17) patients. The proportion of internal fixations which used intramedullary implants increased in both age groups (17.0-19.5% < 60 years; 15.2-17.4% 60+ years). In 2016/17, the cost of inpatient hospital care for ankle fractures in England was over £63.1million. If 50% of older patients who had an internal fixation instead had close-contact-casting, we estimate that approximately £1.56million could have been saved.

CONCLUSIONS

Despite emerging evidence that non-surgical and surgical management achieve equivalent functional outcomes in older patients, the rate of surgical fixation has remained relatively stable over the decade. The health service could achieve substantial savings if a higher proportion of older patients were treated with close-contact-casting, in line with recent evidence.

Factors associated with low-acuity hospital admissions in a public safety-net setting: a cross-sectional study

Background

Given system-level focus on avoidance of unnecessary hospitalizations, better understanding admission decision-making is of utility. Our study sought to identify factors associated with hospital admission versus discharge from the Emergency Department (ED) for a population of patients who were assessed as having low medical acuity at time of decision.

Methods

Using an institutional database, we identified ED admission requests received from March 1, 2018 to Feb 28, 2019 that were assessed by a physician at the time of request as potentially inappropriate based on lack of medical acuity. Focused chart review was performed to extract data related to patient demographics, socioeconomic information, measures of illness, and system-level factors such as previous healthcare utilization and day/time of presentation. A binary logistic regression model was constructed to correlate patient and system factors with disposition outcome of admission to the hospital versus discharge from the ED. Physician-reported contributors to admission decision-making and chief complaint/reason for admission were summarized.

Results

A total of 349 (77.2%) of 452 calls resulted in admission to the hospital and 103 (22.8%) resulted in discharge from the ED. Predictors of admission included age over 65 (OR 3.5 [95%CI 1.1–11.6], p = 0.039), homelessness (OR 3.3 [95% CI 1.7–6.4], p=0.001), and night/weekend presentation (OR 2.0 [95%CI 1.1–3.5], p = 0.020). The most common contributing factors to the decision to admit reported by the responding physician included: lack of outpatient social support (35.8% of admissions), homelessness (33.0% of admissions), and substance use disorder (23.5% of admissions).

Conclusions

Physician medical decision-making regarding the need for hospitalization incorporates consideration of individual patient characteristics, social setting, and system-level barriers. Interventions aimed at reducing unnecessary hospitalizations, especially those involving patients with low medical acuity, should focus on underlying unmet needs and involve a broad set of perspectives.

Variations in outcomes for women admitted to hospital in early versus active labour: an observational study

Background

There is no available evidence for the prevalence of early labour admission to hospital or its association with rates of intervention and clinical outcomes in Australia. The objectives of this study were to: estimate the prevalence of early labour admission in one hospital in Australia; compare rates of clinical intervention, length of hospital stay and clinical outcomes for women admitted in early (< 4 cm cervical dilatation) or active (≥4 cm) labour; and determine the impact of recent recommendations to define early labour as < 5 cm on the findings.

Methods

We conducted a retrospective cohort study using medical record data from a random sample of 1223 women from live singleton births recorded between July 2013 and December 2015. Analyses included women who had spontaneous onset of labour at ≥37 weeks gestation whilst not a hospital inpatient, who had not scheduled a caesarean section before labour onset or delivered prior to hospital admission. Associations between timing of hospital admission in labour and clinical intervention, outcomes and hospital stay were assessed using logistic regression.

Results

Between 32.4% (< 4 cm) and 52.9% (< 5 cm) of eligible women (N = 697) were admitted to hospital in early labour. After adjustment for potential confounders, women admitted in early labour (< 4 cm) were more likely to have their labour augmented by oxytocin (AOR = 3.57, 95% CI 2.39–5.34), an epidural (AOR = 2.27, 95% CI 1.51–3.41), a caesarean birth (AOR = 3.50, 95% CI 2.10–5.83), more vaginal examinations (AOR = 1.73, 95% CI = 1.53–1.95), and their baby admitted to special care nursery (AOR = 1.54, 95% CI = 1.01–2.35). Defining early labour as < 5 cm cervical dilatation produced additional significant associations with artificial rupture of membranes (AOR = 1.41, 95% CI = 1.02–1.95), assisted vaginal birth (AOR = 1.96, 95% CI = 1.12–3.41) neonatal resuscitation (AOR = 1.73, 95% CI = 1.01–2.99) and longer maternal hospital stay (AOR = 1.21, 95% CI = 1.04–1.40).

Conclusions

Findings provide preliminary evidence that a notable proportion of labouring women are admitted in early labour and are more likely to experience several medical procedures, neonatal resuscitation and admission to special care nursery, and longer hospital stay.

Appropriate patient selection facilitates safe discharge from the PACU after laparoscopic ventral hernia repair: an analysis of the AHSQC database

BACKGROUND

The postoperative management of patients undergoing laparoscopic ventral hernia repair (VHR) remains relatively unknown. The purpose of our study was to determine if patient and hernia-specific factors could be used to predict the likelihood of hospital admission following laparoscopic VHR using the Americas Hernia Society Quality Collaborative (AHSQC) database.

METHODS

All patients who underwent elective, laparoscopic VHR with mesh placement from October 2015 through April 2019 were identified within the AHSQC database. Patients without clean wounds, those with chronic liver disease, and those without 30-day follow-up data were excluded from our analysis. Patient and hernia-specific variables were compared between patients who were discharged from the post-anesthesia care unit (PACU) and patients who required hospital admission. Comparisons were also made between the two groups with respect to 30-day morbidity and mortality events.

RESULTS

A total of 1609 patients met inclusion criteria; 901 (56%) patients were discharged from the PACU. The proportion of patients discharged from the PACU increased with each subsequent year. Several patient comorbidities and hernia-specific factors were found to be associated with postoperative hospital admission, including older age, repair of a recurrent hernia, a larger hernia width, longer operative time, drain placement, and use of mechanical bowel preparation. Patients who required hospital admission were more likely than those discharged from the PACU to be readmitted to the hospital within 30 days (4% vs. 2%, respectively) and to experience a 30-day morbidity event (18% vs. 8%, respectively).

CONCLUSIONS

Patient- and hernia-specific factors can be used to identify patients who can be safely discharged from the PACU following laparoscopic VHR. Additional studies are needed to determine if appropriate patient selection for discharge from the PACU leads to decreased healthcare costs for laparoscopic VHR over the long-term.

Smell and Taste Dysfunction in COVID-19 Is Associated With Younger Age in Ambulatory Settings: A Multicenter Cross-Sectional Study

BACKGROUND AND OBJECTIVE

Since the initial anecdotal reports of coronavirus disease 2019 (COVID-19) from China, a growing number of studies have reported on smell and/or taste dysfunction (STD). Objective: The aim of our study was to investigate the frequency and severity of STD in COVID-19 patients and to evaluate the association with demographic characteristics, hospital admission, symptoms, comorbidities, and blood biomarkers.

METHODS

We performed a multicenter cross-sectional study on patients who were positive for SARS-CoV-2 (n=846) and controls (n=143) from 15 Spanish hospitals. Data on STD were collected prospectively using an in-person survey. The severity of STD was categorized using a visual analog scale. We analyzed time to onset, recovery rate, time to recovery, hospital admission, pneumonia, comorbidities, smoking, and symptoms.

RESULTS

STD was at least 2-fold more common in COVID-19-positive patients than in controls. COVID-19-positive hospitalized patients were older, with a lower frequency of STD, and recovered earlier than outpatients. Analysis stratified by severity of STD showed that more than half of COVID-19 patients presented severe loss of smell (53.7%) or taste (52.2%); both senses were impaired in >90%. In the multivariate analysis, older age (>60 years), being hospitalized, and increased C-reactive protein were associated with a better sense of smell and/or taste. COVID-19-positive patients reported improvement in smell (45.6%) and taste (46.1%) at the time of the survey; in 90.6% this was within 2 weeks of infection.

CONCLUSION

STD is a common symptom in COVID-19 and presents mainly in young and nonhospitalized patients. More studies are needed to evaluate follow-up of chemosensory impairment.

Rethinking potentially inappropriate medication use in nursing homes within the Chinese population

This study aimed to understand the prevalence of Chinese medicine and other potentially inappropriate medications and to examine if there are relationships with emergency room visits, hospital admissions, and falls in a Chinese nursing home population. This cross-sectional descriptive study was a secondary analysis of data from 531 nursing home residents in Taiwan. Cox proportional hazard regression models were used in the analysis. Use of Chinese medicine in combination with Western medicine was observed in approximately 1% of residents. For every additional Chinese medicine used, the hazard ratio was 3.09 (p=.26) for emergency room visits and 3.22 (p=.21) for hospital admissions. For every additional nonsteroidal antiinflammatory agent used, the hazard ratio for falls was 5.42 (p=.006). Further studies with larger sample sizes are required to understand the appropriate time intervals required between administration of Chinese and Western medicine as well as to understand the drug-drug interactions.

Migrants and imported disease: Trends of admission in an Italian infectious disease ward during the migration crisis of 2015-2017

Background

Since 2014, the migrant population residing in Europe has dramatically increased. Migrants’ unmet health needs represent a barrier to integration and should be promptly addressed, without stigma, in order to favour resettlement.

Methods

All-cause of admissions in the migrant population at the Infectious Disease Clinic of Policlinico San Martino Hospital in Genoa between 2015 and 2017 were analysed. Patients were classified by duration of residence in Italy according to the Recommendation on Statistics of International Migration, cause of hospitalization, and region of origin. All data were evaluated with SPSS Statistics.

Results

Two hundred thirty-five people were admitted, 86 (36.5%) of them residing in Italy for less than 1 year. Except for a significant increase in migrants from Africa, there was no change considering the area of origin, hospitalization reason or by comparing residency in Italy for more or less than 1 year. A considerable number of hospitalizations were related to non-communicable pathologies and latent tuberculosis infection. Residents in Italy for less than 1 year or with active tuberculosis had prolonged hospitalizations, while HIV-infected had shorter hospital stays.

Conclusions

No difference in terms of diagnosis were found between migrants with longer or shorter period of residence in Italy. Adequate outpatient services for the management of communicable diseases could significantly reduce the length of hospitalizations in the migrant population.

Rethinking morbidity compression

Studies of morbidity compression routinely report the average number of years spent in an unhealthy state but do not report variation in age at morbidity onset. Variation was highlighted by Fries (1980) as crucial for identifying disease postponement. Using incidence of first hospitalization after age 60, as one working example, we estimate variation in morbidity onset over a 27-year period in Denmark. Annual estimates of first hospitalization and the population at risk for 1987 to 2014 were identified using population-based registers. Sex-specific life tables were constructed, and the average age, the threshold age, and the coefficient of variation in age at first hospitalization were calculated. On average, first admissions lasting two or more days shifted towards older ages between 1987 and 2014. The average age at hospitalization increased from 67.8 years (95% CI 67.7-67.9) to 69.5 years (95% CI 69.4-69.6) in men, and 69.1 (95% CI 69.1-69.2) to 70.5 years (95% CI 70.4-70.6) in women. Variation in age at first admission increased slightly as the coefficient of variation increased from 9.1 (95% CI 9.0-9.1) to 9.9% (95% CI 9.8-10.0) among men, and from 10.3% (95% CI 10.2-10.4) to 10.6% (95% CI 10.5-10.6) among women. Our results suggest populations are ageing with better health today than in the past, but experience increasing diversity in healthy ageing. Pensions, social care, and health services will have to adapt to increasingly heterogeneous ageing populations, a phenomenon that average measures of morbidity do not capture.

Short-term effects of diurnal temperature range on hospital admission in Bangkok, Thailand

Diurnal temperature range (DTR) is a key indicator reflecting climate stability. Many previous studies have examined the effects of ambient temperature, both hot and cold, on human morbidity and mortality, but few studies have evaluated health effects of DTR, especially those in developing countries. This study aimed to investigate the association between short-term exposure to DTR and hospital admissions for cardiovascular and respiratory diseases in Bangkok, Thailand. We obtained daily meteorological variables from the Thai Meteorological Department from January 2006 through December 2014 and daily hospital admissions from the National Health Security Office during the same period. Quasi-Poisson generalized linear regression model combined with distributed lag non-linear model was used to examine the association between DTR and cardiovascular and respiratory hospital admissions controlling for daily average temperature, relative humidity, day of the week, public holiday, and seasonal and long-term trend. A J-shape relationship between DTR and hospital admissions was observed. With 7.8 °C DTR as a reference value, the relative risks for cardiovascular and respiratory hospital admission associated with extremely high DTR (11.6 °C) at cumulative lag 0-21 (21-day cumulative effects) were 1.206 (95% CI: 1.002-1.452) and 1.021 (95% CI: 0.856-1.218), respectively. The effects of extremely high DTR relative to a reference value did not significantly differ between males and females, as well as between young people (<65 years) and the elderly (≥65 years) for both cardiovascular and respiratory admission. When stratifying the effects by season, the effect of extremely high DTR in winter was greater than that in summer and rainy season. This study showed that short-term exposure to extremely high DTR was significantly associated with increased risk of hospital admissions for cardiovascular disease in Bangkok, especially during winter. Results from this study could provide important scientific evidence for policy decision making to protect populations from adverse health effects of DTR.

Short-term effect of PM1 on hospital admission for ischemic stroke: A multi-city case-crossover study in China

This study aims to examine the association between short-term exposures to PM₁, PM_2.5 and PM₁₀ (particulate matter with aerodynamic diameters ≤1 μm, ≤2.5 μm and ≤10 μm, respectively) and hospital admission for ischemic stroke in China. Daily counts of hospital admission for ischemic stroke were collected in 5 hospitals in China during November 2013 to October 2015. Daily concentrations of PM₁, PM_2.5 and PM₁₀ were collected in 5 cities where the hospitals were located. A time-stratified case-crossover design was used to examine the hospital-specific PM-ischemic stroke association after controlling for potential confounders. Then the effect estimates were pooled using a random-effect meta-analysis. A total of 68,122 hospital admissions for ischemic stroke were identified from 5 hospitals during the study period. The pooled results showed that exposures to PM₁, PM_2.5 and PM₁₀ were significantly associated with increased hospital admission for ischemic stroke on the current day and previous 1 day. The RRs (relative risk associated with per 10 μg/m³ increase in each pollutant) and 95%CIs (confidence intervals) for the cumulative effects of PM₁, PM_2.5 and PM₁₀ on ischemic stroke during lag 0-1 days were 1.014 (1.005, 1.0023), 1.007 (1.000, 1.014) and 1.005 (1.001, 1.009), respectively. In total, 3.5%, 3.6% and 4.1% of hospital admissions for ischemic stroke could be attributable to PM₁, PM_2.5 and PM₁₀, respectively. Exposures to ambient PM₁, PM_2.5 and PM₁₀ pollution showed acute adverse effects on hospital admission for ischemic stroke. The health effects of PM₁ should be considered by policy-makers.

Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure

Background

Accumulating evidence has linked environmental exposure, such as ambient air pollution and meteorological factors, to the development and severity of cardiovascular diseases (CVDs), resulting in increased healthcare demand. Effective prediction of demand for healthcare services, particularly those associated with peak events of CVDs, can be useful in optimizing the allocation of medical resources. However, few studies have attempted to adopt machine learning approaches with excellent predictive abilities to forecast the healthcare demand for CVDs. This study aims to develop and compare several machine learning models in predicting the peak demand days of CVDs admissions using the hospital admissions data, air quality data and meteorological data in Chengdu, China from 2015 to 2017.

Methods

Six machine learning algorithms, including logistic regression (LR), support vector machine (SVM), artificial neural network (ANN), random forest (RF), extreme gradient boosting (XGBoost), and light gradient boosting machine (LightGBM) were applied to build the predictive models with a unique feature set. The area under a receiver operating characteristic curve (AUC), logarithmic loss function, accuracy, sensitivity, specificity, precision, and F1 score were used to evaluate the predictive performances of the six models.

Results

The LightGBM model exhibited the highest AUC (0.940, 95% CI: 0.900–0.980), which was significantly higher than that of LR (0.842, 95% CI: 0.783–0.901), SVM (0.834, 95% CI: 0.774–0.894) and ANN (0.890, 95% CI: 0.836–0.944), but did not differ significantly from that of RF (0.926, 95% CI: 0.879–0.974) and XGBoost (0.930, 95% CI: 0.878–0.982). In addition, the LightGBM has the optimal logarithmic loss function (0.218), accuracy (91.3%), specificity (94.1%), precision (0.695), and F1 score (0.725). Feature importance identification indicated that the contribution rate of meteorological conditions and air pollutants for the prediction was 32 and 43%, respectively.

Conclusion

This study suggests that ensemble learning models, especially the LightGBM model, can be used to effectively predict the peak events of CVDs admissions, and therefore could be a very useful decision-making tool for medical resource management.

Impact of hospitalization on potentially inappropriate prescribing: a cross-sectional study in an acute geriatric hospital in Lithuania

Background Potentially inappropriate prescribing is frequent among elderly patients admitted to hospitals in many countries. However, the impact of hospitalization on potentially inappropriate medications and potential prescribing omissions has not been studied in depth. Objective This study aimed to investigate the impact of hospitalization on the prevalence of potentially inappropriate medications and potential prescribing omissions among elderly patients admitted to and discharged from an acute care geriatric clinic. Setting Geriatric wards of a teaching hospital in Lithuania. Method This observational cross-sectional study included 76 subjects aged ≥ 65 years. The Beers 2015 Criteria, the EU(7)-PIM list, and the second versions of the Screening Tool of Older Person's Prescriptions and the Screening Tool to Alert doctors to Right Treatment were applied to detect potentially inappropriate medications and potential prescribing omissions. Data were extracted from patient's medical records. Main outcome measure Prevalence of potentially inappropriate medications and potential prescribing omissions on hospital admission and hospital discharge. Results Potentially inappropriate medications were identified among 44.7% to 69.7% of patients upon hospital admission and 59.2% to 72.4% upon hospital discharge. The prevalence of potentially inappropriate medications had increased upon discharge based on each set of criteria. Potential prescribing omissions were detected in 93.4% of patients at admission and 96.1% of patients at discharge. Conclusion Potentially inappropriate prescribing is highly prevalent among older patients hospitalized in the studied setting in Lithuania and hospitalization had not reduced potentially inappropriate medications and potential prescribing omissions. There is a need for interventions aiming to reduce potentially inappropriate prescribing among elderly patients.