scholarly journals Hospitalization for Community Acquired Pneumonia in Alberta First Nations Aboriginals Compared with Non-First Nations Albertans

2004 ◽  
Vol 11 (5) ◽  
pp. 336-342 ◽  
Author(s):  
Thomas J Marrie ◽  
Keumhee C Carriere ◽  
Yan Jin ◽  
David H Johnson

BACKGROUND:The rates and outcomes of hospital admission for community-acquired pneumonia between First Nations Aboriginal and non-First Nations groups were compared.METHODS:Alberta administrative hospital abstracts from April 1, 1997, to March 31, 1999, were analyzed, and each case of a First Nations Aboriginal person with pneumonia was matched by age and sex with three non-First Nations persons with pneumonia.RESULTS:The First Nations Aboriginal age and sex-adjusted hospital discharge rate was 22 per 1000 (95% CI 20.7 to 23.6) compared with 4.4 per 1000 (95% CI 4.4 to 4.5) for the general population of Alberta. After accounting for comorbidity and severity of pneumonia, in-hospital mortality and hospital length of stay were lower for First Nations Aboriginals compared with the matched non-First Nations group (odds ratio 0.49; 95% CI 0.37 to 0.66, and odds ratio 0.87; 95% CI 0.79 to 0.97, respectively). The odds for 30-day hospital readmission were higher in First Nations Aboriginals compared with the non-First Nations group (odds ratio 1.42; 95% CI 1.21 to 1.68). The cost per hospital admission for First Nations Aboriginals was 94% of the average cost for the matched non-First Nations group (CDN$4,206). However, their median daily cost was 1.25 times higher (95% CI 1.14 to 1.36) than the matched non-First Nations group.CONCLUSIONS:First Nations Aboriginals had higher rates of hospitalization, rehospitalization and hospital costs for community-acquired pneumonia than non-First Nations Albertans. It was unlikely that the high rate of hospitalizations in First Nations Aboriginals was due to more severe pneumonia or greater comorbidity. Other unexplained factors increase the burden of this disease in First Nation Aboriginals.

2021 ◽  
pp. 019459982110196
Author(s):  
Kevin Chorath ◽  
Neil Luu ◽  
Beatrice C. Go ◽  
Alvaro Moreira ◽  
Karthik Rajasekaran

Objective Enhanced recovery after surgery (ERAS) protocols are evidenced-based multidisciplinary programs implemented in the perioperative setting to improve postoperative recovery and attenuate the surgical stress response. However, evidence on their effectiveness in thyroid and parathyroid surgery remains sparse. Therefore, our goal was to investigate the clinical benefits and cost-effectiveness of ERAS protocols for the perioperative management of thyroidectomy and parathyroidectomy. Data Source A systematic review of Medline, Scopus, Embase, and gray literature was performed to identify studies of ERAS or clinical care protocols for thyroidectomy and parathyroidectomy. Review Methods Two reviewers screened studies using predetermined inclusion criteria. Our primary outcomes included hospital length of stay and hospital costs. Readmission and postoperative complication rates composed our secondary outcomes. Meta-analysis was performed to compare outcomes for patients enrolled in the ERAS protocol versus standard of care. Results A total of 450 articles were identified; 7 (1.6%) met inclusion criteria with a total of 3082 patients. Perioperative components in ERAS protocols varied across the studies. Nevertheless, patients enrolled in ERAS protocols had reduced hospital length of stay (mean difference, –0.64 days [95% CI, −0.92 to −0.37]) and hospital costs (in US dollars; mean difference, –307.70 [95% CI, −346.49 to −268.90]), without an increase in readmission (odds ratio, 0.75 [95% CI, 0.29-1.94]) or complication rates (odds ratio, 1.14 [95% CI, 0.82-1.57]). Conclusion There is growing literature supporting the role of ERAS protocols for the perioperative management of thyroidectomy and parathyroidectomy. These protocols significantly reduce hospital length of stay and costs without increasing complications or readmission rates.


2016 ◽  
Vol 65 (2) ◽  
Author(s):  
P.L. Migliorati ◽  
E. Boccoli ◽  
L.S. Bracci ◽  
P. Sestini ◽  
A.S. Melani

Background and aim. Community Acquired Pneumonia (CAP) remains a major cause of disease and death. We evaluated the levels of care, the outcome and the characteristics of hospitalised patients with CAP in a primary hospital in Italy. We also investigated the value of both the Pneumonia Severity Index (PSI) and the modified Appropriateness Evaluation Protocol (AEP) for recognising both the outcome and the unnecessary admissions and stay of hospitalised patients with CAP. Methods. A retrospective review of all the charts of adult patients with CAP at Manerbio, Brescia, Italy between January 2001 and December 2002 was performed. Results. We evaluated 148 patients; their mean age (±SD) was 70 (±17) years; 34% were female. Most patients (87%) had at least a concomitant co-morbid disease. The overall survival rate at 30 days was 88%. All but one death occurred in the high-risk group of patients according to the PSI. On the contrary, the death rate of patients with inappropriate hospital admission according to the AEP was high. Patients with high PSI score had a significantly longer hospital length of stay than the low-risk group. However, a substantial part of the hospital stay did not show any justification into the charts. Conclusions. The PSI, but not the AEP, upon hospital admission, was useful for evaluating the outcome of patients with CAP. The PSI score and the modified AEP can be useful for assessing the appropriateness of hospitalisation for patients with CAP. There is the need for a practical and validated tool to support physicians in their decision making regarding the early and safe discharge of hospitalised patients with CAP.


Author(s):  
Owen Tan ◽  
Deborah J. Schofield ◽  
Rupendra Shrestha

Background: This study used a linked dataset consisting of all childhood cancers recorded over the course of 10 years in New South Wales (NSW), Australia, to evaluate the hospital and emergency department costs (from a payer perspective) and resources used by patients with childhood cancer. We also analyzed determinants responsible for high-frequency hospital admissions, hospital length of stay (LoS), and hospital costs. Methods: We analyzed linked data at the individual patient level for a retrospective cohort of 2,966 patients with cancer aged <18 years with a diagnosis date between 2001 and 2012 from the NSW Central Cancer Registry, Australia. We reported costs and use of hospitalization and emergency department presentation 1 year before the date of diagnosis, 1 year after diagnosis, and 2 to 5 years after diagnosis. We also examined the association between cancer types and hospital admission and hospital costs from the payer perspective. Patient characteristics associated with the frequency of hospital admissions, hospital LoS, and hospital costs were also determined using a generalized linear model. Results: Most hospital admission costs occurred in the first year after diagnosis, accounting for >70% of hospital costs within 5 years after diagnosis. The estimated median annual cost of hospitalization in the first year after diagnosis was A$88,964 (interquartile range [IQR], A$34,399–A$163,968) for patients diagnosed at age 0 to 14 years and A$23,384 (IQR, A$5,585–A$91,565) for those diagnosed at age 15 to 17 years. Higher frequency of hospital admissions, hospital LoS, and hospital costs were significantly associated with younger age at cancer diagnosis, cancer metastases, and living in remote/disadvantaged socioeconomic areas. Conclusions: Our study represents one of the first in Australia to include detailed hospitalization cost information for all childhood cancer cases. This study highlights the high hospital use by pediatric patients and the importance of early diagnosis. Our findings also demonstrate the health inequities experienced by patients from remote areas and the lowest socioeconomic areas.


2021 ◽  
Vol 9 (2) ◽  
pp. 232596712098164
Author(s):  
Steven F. DeFroda ◽  
Devan D. Patel ◽  
John Milner ◽  
Daniel S. Yang ◽  
Brett D. Owens

Background: Anterior cruciate ligament (ACL) injury in National Basketball Association (NBA) players can have a significant impact on player longevity and performance. Current literature reports a high rate of return to play, but there are limited data on performance after ACL reconstruction (ACLR). Purpose/Hypothesis: To determine return to play and player performance in the first and second seasons after ACLR in NBA players. We hypothesized that players would return at a high rate. However, we also hypothesized that performance in the first season after ACLR would be worse as compared with the preinjury performance, with a return to baseline by postoperative year 2. Study Design: Case series; Level of evidence, 4. Methods: An online database of NBA athlete injuries between 2010 and 2019 was queried using the term ACL reconstruction. For the included players, the following data were recorded: name; age at injury; position; height, weight, and body mass index; handedness; NBA experience; dates of injury, surgery, and return; knee affected; and postoperative seasons played. Regular season statistics for 1 preinjury season and 2 postoperative seasons were compiled and included games started and played, minutes played, and player efficiency rating. Kaplan-Meier survivorship plots were computed for athlete return-to-play and retirement endpoints. Results: A total of 26 athletes underwent ACLR; of these, 84% (95% CI, 63.9%-95.5%) returned to play at a mean 372.5 days (95% CI, 323.5-421.5 days) after surgery. Career length after injury was a mean of 3.36 seasons (95% CI, 2.27-4.45 seasons). Factors that contributed to an increased probability of return to play included younger age at injury (odds ratio, 0.71 [95% CI, 0.47-0.92]; P = .0337) and fewer years of experience in the NBA before injury (odds ratio, 0.70 [95% CI, 0.45-0.93]; P = .0335). Postoperatively, athletes played a significantly lower percentage of total games in the first season (48.4%; P = .0004) and second season (62.1%; P = .0067) as compared with the preinjury season (78.5%). Player efficiency rating in the first season was 19.3% less than that in the preinjury season ( P = .0056). Performance in the second postoperative season was not significantly different versus preinjury. Conclusion: NBA players have a high rate of RTP after ACLR. However, it may take longer than a single season for elite NBA athletes to return to their full preinjury performance. Younger players and those with less NBA experience returned at higher rates.


2020 ◽  
Vol 41 (S1) ◽  
pp. s339-s340
Author(s):  
Roopali Sharma ◽  
Deepali Dixit ◽  
Sherin Pathickal ◽  
Jenny Park ◽  
Bernice Lee ◽  
...  

Background: Data from Clostridium difficile infection (CDI) in neutropenic patients are still scarce. Objective: To assess outcomes of CDI in patients with and without neutropenia. Methods: The study included a retrospective cohort of adult patients at 3 academic hospitals between January 2013 and December 2017. The 2 study arms were neutropenic patients (neutrophil count <500/mm3) and nonneutropenic patients with confirmed CDI episodes. The primary outcome evaluated the composite end point of all-cause in-hospital mortality, intensive care unit (ICU) admissions, and treatment failure at 7 days. The secondary outcome evaluated hospital length of stay. Results: Of 962 unique cases of CDI, 158 were neutropenic (59% men) and 804 were nonneutropenic (46% men). The median age was 57 years (IQR, 44–64) in the neutropenic group and 68 years (IQR, 56–79) in the nonneutropenic group. The median Charlson comorbidity score was 5 (IQR, 3–7.8) and 4 (IQR, 3–5) in the neutropenic and nonneutropenic groups, respectively. Regarding severity, 88.6% versus 48.9% were nonsevere, 8.2% versus 47% were severe, and 3.2% versus 4.1% were fulminant in the neutropenic and nonneutropenic groups, respectively. Also, 63% of patients (60.9% in nonneutropenic, 65.2% in neutropenic) were exposed to proton-pump inhibitors. A combination CDI treatment was required in 53.2% of neutropenic patients and 50.1% of nonneutropenic patients. The primary composite end point occurred in 27% of neutropenic patients versus 22% of nonneutropenic patients (P = .257), with an adjusted odds ratio of 1.30 (95% CI, 0.84–2.00). The median hospital length of stay after controlling for covariates was 21.3 days versus 14.2 days in the neutropenic and nonneutropenic groups, respectively (P < .001). Complications (defined as hypotension requiring vasopressors, ileus, or bowel perforation) were seen in 6.0% of the nonneutropenic group and 4.4% of the neutropenic group (P = .574), with an adjusted odds ratio of 0.61 (95% CI, 0.28–1.45). Conclusions: Neutropenic patients were younger and their cases were less severe; however, they had lower incidences of all-cause in-hospital mortality, ICU admissions, and treatment failure. Hospital length of stay was significantly shorter in the neutropenic group than in the nonneutropenic group.Funding: NoneDisclosures: None


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bindu Vekaria ◽  
Christopher Overton ◽  
Arkadiusz Wiśniowski ◽  
Shazaad Ahmad ◽  
Andrea Aparicio-Castro ◽  
...  

Abstract Background Predicting hospital length of stay (LoS) for patients with COVID-19 infection is essential to ensure that adequate bed capacity can be provided without unnecessarily restricting care for patients with other conditions. Here, we demonstrate the utility of three complementary methods for predicting LoS using UK national- and hospital-level data. Method On a national scale, relevant patients were identified from the COVID-19 Hospitalisation in England Surveillance System (CHESS) reports. An Accelerated Failure Time (AFT) survival model and a truncation corrected method (TC), both with underlying Weibull distributions, were fitted to the data to estimate LoS from hospital admission date to an outcome (death or discharge) and from hospital admission date to Intensive Care Unit (ICU) admission date. In a second approach we fit a multi-state (MS) survival model to data directly from the Manchester University NHS Foundation Trust (MFT). We develop a planning tool that uses LoS estimates from these models to predict bed occupancy. Results All methods produced similar overall estimates of LoS for overall hospital stay, given a patient is not admitted to ICU (8.4, 9.1 and 8.0 days for AFT, TC and MS, respectively). Estimates differ more significantly between the local and national level when considering ICU. National estimates for ICU LoS from AFT and TC were 12.4 and 13.4 days, whereas in local data the MS method produced estimates of 18.9 days. Conclusions Given the complexity and partiality of different data sources and the rapidly evolving nature of the COVID-19 pandemic, it is most appropriate to use multiple analysis methods on multiple datasets. The AFT method accounts for censored cases, but does not allow for simultaneous consideration of different outcomes. The TC method does not include censored cases, instead correcting for truncation in the data, but does consider these different outcomes. The MS method can model complex pathways to different outcomes whilst accounting for censoring, but cannot handle non-random case missingness. Overall, we conclude that data-driven modelling approaches of LoS using these methods is useful in epidemic planning and management, and should be considered for widespread adoption throughout healthcare systems internationally where similar data resources exist.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Wenfang Guo ◽  
Letai Yi ◽  
Peng Wang ◽  
Baojun Wang ◽  
Minhui Li

AbstractThe relationship between air temperature and the hospital admission of adult patients with community-acquired pneumonia (CAP) was analyzed. The hospitalization data pertaining to adult CAP patients (age ≥ 18 years) in two tertiary comprehensive hospitals in Baotou, Inner Mongolia Autonomous Region, China from 2014 to 2018 and meteorological data there in the corresponding period were collected. The exposure–response relationship between the daily average temperature and the hospital admission of adult CAP patients was quantified by using a distributed lag non-linear model. A total of 4466 cases of adult patients with CAP were admitted. After eliminating some confounding factors such as relative humidity, wind speed, air pressure, long-term trend, and seasonal trend, a lower temperature was found to be associated with a higher risk of adult CAP. Compared to 21 °C, lower temperature range of 4 to –12 °C was associated with a greater number of CAP hospitalizations among those aged ≥ 65 years, and the highest relative risk (RR) was 2.80 (95% CI 1.15–6.80) at a temperature of − 10 °C. For those < 65 years, lower temperature was not related to CAP hospitalizations. Cumulative lag RRs of low temperature with CAP hospitalizations indicate that the risk associated with colder temperatures appeared at a lag of 0–7 days. For those ≥ 65 years, the cumulative RR of CAP hospitalizations over lagging days 0–5 was 1.89 (95% CI 1.01–3. 56). In brief, the lower temperature had age-specific effects on CAP hospitalizations in Baotou, China, especially among those aged ≥ 65 years.


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S52-S52
Author(s):  
Pegah Shakeraneh ◽  
Jeffrey Steele ◽  
Robert Seabury ◽  
Stephen J Thomas ◽  
Kristopher M Paolino ◽  
...  

Abstract Background Ceftriaxone and azithromycin are common empiric antibiotics for community-acquired pneumonia (CAP). Despite low suspicion for atypical infection, azithromycin is often continued for a full course. Negative laboratory data for atypical bacteria may assist with azithromycin de-escalation. Thus, a pharmacist-driven azithromycin de-escalation protocol was implemented for immunocompetent, non-intensive care unit (ICU) patients treated for CAP. The primary outcome was to compare azithromycin duration before and after protocol implementation. Secondary outcomes included hospital length of stay (LOS) and all-cause 30-day readmission. Methods This was a single-center, quasi-experimental study of hospitalized, non-ICU patients treated with azithromycin and a beta-lactam for CAP. The pre- and post-intervention cohorts were from 07/01/2018–04/30/2019 and 07/01/2019–04/30/2020, respectively. Patients were included if they were ≥18 years old, diagnosed with CAP, and had a negative Legionella pneumophila urinary antigen and negative nasopharyngeal swab PCR for Mycoplasma pneumoniae and Chlamydia pneumoniae. Patients were excluded if they were immunocompromised, admitted to an ICU, prescribed azithromycin for an alternative indication, or had evidence of atypical bacteria. Results After exclusion criteria were applied, 90 and 100 patients were included in the pre- and post-intervention cohorts, respectively. Demographic and clinical characteristics were mostly similar between cohorts. This initiative was associated with a statistically significant decrease in azithromycin duration (2 days (IQR 1–2.75) vs. 5 days (IQR 3–6), p &lt; 0.001) and hospital LOS (3 days (IQR 2–5) vs. 5 days (IQR 3–8.25), p &lt; 0.001). No statistically significant difference was observed for all-cause 30-day readmission (14 days (15.6%) vs 13 days (13.0%), p=0.614). Conclusion Implementation of a pharmacist-driven azithromycin de-escalation protocol for CAP was associated with reduced azithromycin duration and hospital LOS, but not all-cause 30-day readmission. Disclosures Jeffrey Steele, PharMD, Paratek Pharmaceuticals (Advisor or Review Panel member) Wesley D. Kufel, PharmD, Melinta (Research Grant or Support)Merck (Research Grant or Support)Theratechnologies, Inc. (Advisor or Review Panel member)


2008 ◽  
Vol 80 (10) ◽  
pp. 1843-1849 ◽  
Author(s):  
Gustavo Cilla ◽  
Eider Oñate ◽  
Eduardo G. Perez-Yarza ◽  
Milagrosa Montes ◽  
Diego Vicente ◽  
...  

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