scholarly journals Development and Implementation of a clinical pathway to reduce inappropriate admissions among patients with Community acquired pneumonia in a private health system in Brazil: An observational cohort study and a promising tool for efficiency improvement.

2019 ◽  
Author(s):  
Rodrigo Moreira ◽  
Hugo T. F. Mendonça ◽  
Ayla M. Farias ◽  
Henry Sznejder ◽  
Eddy Lang ◽  
...  
Keyword(s):  
Clinical Pathway ◽  
Hospital Admissions ◽  
Clinical Decision ◽  
Community Acquired Pneumonia ◽  
Low Risk ◽  
Logistic Regression Models ◽  
Risk Of Death ◽  
Promising Tool ◽  
Inappropriate Admissions ◽  
Prolonged Hospital

Abstract Background: Patients with community-acquired pneumonia (CAP) at low risk of death by CURB-65 scoring system are usually unnecessarily treated as inpatients generating additional economic and clinical burden. We aimed to implement an evidence based clinical pathway to reduce hospital admissions of low risk CAP and investigate factors related to mortality and readmissions within 30 days.Methods: From November 2015 to August 2017 a clinical pathway was implemented at twenty hospitals. We included patients aged >18 years, with a diagnosis of CAP by the attendant physician. The main outcome was the monthly proportion of low risk CURB-65 admission after implementation of the clinical pathway. Logistic regression models were performed to assess variables associated with mortality and readmission in the admitted population within 30 days.Results: We included 10909 participants with suspected CAP. The proportion of low risk CAP admitted decreased from 22.1% to 12.8% in the period. Among participants with low risk, there has been no perceptible increase in deaths (0.80%) or readmissions (6.92%). Regression analysis identified that CURB-65 variables, presence of pleural effusion (OR= 1.74; 95%IC=1.08-2.8; p=0.02) and leucopenia (OR= 2.47; 95%IC=1.11-5.48;p=0.02) were independently associated with 30-day mortality whereas a prolonged hospital stay (OR= 2.09; 95%=1.14-3.83;p=0.01) were associated with 30-day readmission in the low risk population.Conclusion: The implementations of a clinical pathway diminished the proportion of low risk CAP admissions with no apparent increase of clinical outcomes within 30 days. Nonetheless, additional factors influences the clinical decision about site of care management in low risk CAP.

scholarly journals External validation of the 4C mortality score among COVID-19 patients admitted to hospital in Ontario, Canada: a retrospective study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Aaron Jones ◽  
Tyler Pitre ◽  
Mats Junek ◽  
Jessica Kapralik ◽  
Rina Patel ◽  
...  
Keyword(s):  
Clinical Decision Making ◽  
Hospital Admissions ◽  
Characteristic Curve ◽  
External Validation ◽  
Risk Groups ◽  
Clinical Decision ◽  
Risk Of Death ◽  
The United Kingdom ◽  
Canadian Population ◽  
Very High

AbstractRisk prediction scores are important tools to support clinical decision-making for patients with coronavirus disease (COVID-19). The objective of this paper was to validate the 4C mortality score, originally developed in the United Kingdom, for a Canadian population, and to examine its performance over time. We conducted an external validation study within a registry of COVID-19 positive hospital admissions in the Kitchener-Waterloo and Hamilton regions of southern Ontario between March 4, 2020 and June 13, 2021. We examined the validity of the 4C score to prognosticate in-hospital mortality using the area under the receiver operating characteristic curve (AUC) with 95% confidence intervals calculated via bootstrapping. The study included 959 individuals, of whom 224 (23.4%) died in-hospital. Median age was 72 years and 524 individuals (55%) were male. The AUC of the 4C score was 0.77, 95% confidence interval 0.79–0.87. Overall mortality rates across the pre-defined risk groups were 0% (Low), 8.0% (Intermediate), 27.2% (High), and 54.2% (Very High). Wave 1, 2 and 3 values of the AUC were 0.81 (0.76, 0.86), 0.74 (0.69, 0.80), and 0.76 (0.69, 0.83) respectively. The 4C score is a valid tool to prognosticate mortality from COVID-19 in Canadian hospitals and can be used to prioritize care and resources for patients at greatest risk of death.

scholarly journals Procalcitonin predicts patients at low risk of death from community-acquired pneumonia across all CRB-65 classes

2008 ◽  
Vol 31 (2) ◽  
pp. 349-355 ◽  
Author(s):  
S. Kruger ◽  
S. Ewig ◽  
R. Marre ◽  
J. Papassotiriou ◽  
K. Richter ◽  
...  
Keyword(s):  
Community Acquired Pneumonia ◽  
Low Risk ◽  
Risk Of Death

scholarly journals A tool to support the clinical decision based on risk of death in hospital admissions

2019 ◽  
Vol 164 ◽  
pp. 573-580
Author(s):  
Isabelle Carvalho ◽  
Vinícius Lima ◽  
Juan Stuardo Yazlle Rocha ◽  
Domingos Alves
Keyword(s):  
Hospital Admissions ◽  
Clinical Decision ◽  
Risk Of Death

scholarly journals Weekend Mortality in an Italian Hospital: Immediate versus Delayed Bedside Critical Care Treatment

2022 ◽  
Vol 19 (2) ◽  
pp. 767
Author(s):  
Antonio Gallo ◽  
Anna Anselmi ◽  
Francesca Locatelli ◽  
Eleonora Pedrazzoli ◽  
Roberto Petrilli ◽  
...  
Keyword(s):  
Hospital Admissions ◽  
Multinomial Logistic Regression ◽  
Medical Emergency Team ◽  
Total Mortality ◽  
Weekend Effect ◽  
Medical Emergency ◽  
Organizational Model ◽  
Emergency Team ◽  
Logistic Regression Models ◽  
Risk Of Death

Background: a number of studies highlighted increased mortality associated with hospital admissions during weekends and holidays, the so–call “weekend effect”. In this retrospective study of mortality in an acute care public hospital in Italy between 2009 and 2015, we compared inpatient mortality before and after a major organizational change in 2012. The new model (Model 2) implied that the intensivist was available on call from outside the hospital during nighttime, weekends, and holidays. The previous model (Model 1) ensured the presence of the intensivist coordinating a Medical Emergency Team (MET) inside the hospital 24 h a day, 7 days a week. Methods: life status at discharge after 9298 and 8223 hospital admissions that occurred during two consecutive periods of 1185 days each (organizational Model 1 and 2), respectively, were classified into “discharged alive”, “deceased during nighttime–weekends–holidays” and “deceased during daytime-weekdays”. We estimated Relative Risk Ratios (RRR) for the associations between the organizational model and life status at discharge using multinomial logistic regression models adjusted for demographic and case-mix indicators, and timing of admission (nighttime–weekends–holidays vs. daytime-weekdays). Results: there were 802 and 840 deaths under Models 1 and 2, respectively. Total mortality was higher for hospital admissions under Model 2 compared to Model 1. Model 2 was associated with a significantly higher risk of death during nighttime–weekends–holidays (IRR: 1.38, 95% CI 1.20–1.59) compared to daytime–weekdays (RRR: 1.12, 95% CI 0.97–1.31) (p = 0.04). Respiratory diagnoses, in particular, acute and chronic respiratory failure (ICD 9 codes 510–519) were the leading causes of the mortality excess under Model 2. Conclusions: our data suggest that the immediate availability of an intensivist coordinating a MET 24 h, 7 days a week can result in a better prognosis of in-hospital emergencies compared to delayed consultation.

Implementation of a Clinical Pathway to Avoid Lumbar Puncture in Febrile Young Infants Aged 29-56 Days Meeting a Set of Low Risk Criteria

PEDIATRICS ◽  
2016 ◽  
Vol 137 (Supplement 3) ◽  
pp. 282A-282A
Author(s):  
Payal K. Gala ◽  
Ashlee L Murray ◽  
Aileen P. Schast ◽  
Christian Minich ◽  
Ashley L. Woodford ◽  
...  
Keyword(s):  
Lumbar Puncture ◽  
Clinical Pathway ◽  
Low Risk ◽  
Risk Criteria ◽  
Young Infants

scholarly journals Structured Reporting of Rectal Cancer Staging and Restaging: A Consensus Proposal

Cancers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 2135
Author(s):  
Vincenza Granata ◽  
Damiano Caruso ◽  
Roberto Grassi ◽  
Salvatore Cappabianca ◽  
Alfonso Reginelli ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Correlation Coefficient ◽  
Clinical Decision Making ◽  
Intraclass Correlation ◽  
Clinical Decision ◽  
Cancer Staging ◽  
Structured Reporting ◽  
Quality Analysis ◽  
Promising Tool ◽  
Structured Reports

Background: Structured reporting (SR) in oncologic imaging is becoming necessary and has recently been recognized by major scientific societies. The aim of this study was to build MRI-based structured reports for rectal cancer (RC) staging and restaging in order to provide clinicians all critical tumor information. Materials and Methods: A panel of radiologist experts in abdominal imaging, called the members of the Italian Society of Medical and Interventional Radiology, was established. The modified Delphi process was used to build the SR and to assess the level of agreement in all sections. The Cronbach’s alpha (Cα) correlation coefficient was used to assess the internal consistency of each section and to measure the quality analysis according to the average inter-item correlation. The intraclass correlation coefficient (ICC) was also evaluated. Results: After the second Delphi round of the SR RC staging, the panelists’ single scores and sum of scores were 3.8 (range 2–4) and 169, and the SR RC restaging panelists’ single scores and sum of scores were 3.7 (range 2–4) and 148, respectively. The Cα correlation coefficient was 0.79 for SR staging and 0.81 for SR restaging. The ICCs for the SR RC staging and restaging were 0.78 (p < 0.01) and 0.82 (p < 0.01), respectively. The final SR version was built and included 53 items for RC staging and 50 items for RC restaging. Conclusions: The final version of the structured reports of MRI-based RC staging and restaging should be a helpful and promising tool for clinicians in managing cancer patients properly. Structured reports collect all Patient Clinical Data, Clinical Evaluations and relevant key findings of Rectal Cancer, both in staging and restaging, and can facilitate clinical decision-making.

Functional Decline in Emergency Department Patients with Dyspnea; a Register-Based Cohort

2021 ◽  
Author(s):  
Karoline Stentoft Rybjerg Larsen ◽  
Marianne Lisby ◽  
Hans Kirkegaard ◽  
Annemette Krintel Petersen
Keyword(s):  
Emergency Department ◽  
Electronic Patient Record ◽  
Hospital Admissions ◽  
Functional Decline ◽  
Patient Characteristics ◽  
Risk Of Death ◽  
Record Data ◽  
Emergency Department Patients ◽  
One Year ◽  
Historic Cohort

Abstract Background Functional decline is associated with frequent hospital admissions and elevated risk of death. Presumably patients acutely admitted to hospital with dyspnea have a high risk of functional decline. The aim of this study was to describe patient characteristics, hospital trajectory, and use of physiotherapy services of dyspneic patients in an emergency department. Furthermore, to compare readmission and death among patients with and without a functional decline, and to identify predictors of functional decline. Methods Historic cohort study of patients admitted to a Danish Emergency Department using prospectively collected electronic patient record data from a Business Intelligence Registry of the Central Denmark Region. The study included adult patients that due to dyspnea in 2015 were treated at the emergency department (ED). The main outcome measures were readmission, death, and functional decline. Results In total 2,048 dyspneic emergency treatments were registered. Within 30 days after discharge 20% was readmitted and 3.9% had died. Patients with functional decline had a higher rate of 30-day readmission (31.2% vs. 19.1%, p&lt;0.001) and mortality (9.3% vs. 3.6%, p=0.009) as well as mortality within one year (36.1% vs. 13.4%, p&lt;0.001). Predictors of functional decline were age ≥60 years and hospital stay ≥6 days. Conclusion Patients suffering from acute dyspnea are seen at the ED at all hours. In total one in five patients were readmitted and 3.9% died within 30 days. Patients with a functional decline at discharge seems to be particularly vulnerable.

Comparable Outcomes of Short-Course and Prolonged-Course Therapy in Selected Cases of Methicillin-Susceptible Staphylococcus aureus Bacteremia: A Pooled Cohort Study

2021 ◽  
Author(s):  
Louise Thorlacius-Ussing ◽  
Håkon Sandholdt ◽  
Jette Nissen ◽  
Jon Rasmussen ◽  
Robert Skov ◽  
...  
Keyword(s):  
Staphylococcus Aureus ◽  
Clinical Outcomes ◽  
Treatment Duration ◽  
Cohort Analysis ◽  
Antimicrobial Treatment ◽  
Low Risk ◽  
Logistic Regression Models ◽  
Staphylococcus Aureus Bacteremia ◽  
Short Course ◽  
The Individual

Abstract Background The recommended duration of antimicrobial treatment for Staphylococcus aureus bacteremia (SAB) is a minimum of 14 days. We compared the clinical outcomes of patients receiving short-course (SC; 6–10 days), or prolonged-course (PC; 11–16 days) antibiotic therapy for low-risk methicillin-susceptible SAB (MS-SAB). Methods Adults with MS-SAB in 1995–2018 were included from 3 independent retrospective cohorts. Logistic regression models fitted with inverse probability of treatment weighting were used to assess the association between the primary outcome of 90-day mortality and treatment duration for the individual cohorts as well as a pooled cohort analysis. Results A total of 645, 219, and 141 patients with low-risk MS-SAB were included from cohorts I, II, and III. Median treatment duration in the 3 SC groups was 8 days (interquartile range [IQR], 7–10), 9 days (IQR, 8–10), and 8 days (IQR, 7–10). In the PC groups, patients received a median therapy of 14 days (IQR, 13–15), 14 days (IQR, 13–15), and 13 days (IQR, 12–15). No significant differences in 90-day mortality were observed between the SC and PC group in cohort I (odds ratio [OR], 0.85 [95% confidence interval {CI}, .49–1.41]), cohort II (OR, 1.24 [95% CI, .60–2.62]), or cohort III (OR, 1.15 [95% CI, .24–4.01]). This result was consistent in the pooled cohort analysis (OR, 1.05 [95% CI, .71–1.51]). Furthermore, duration of therapy was not associated with the risk of relapse. Conclusions In patients with low-risk MS-SAB, shorter courses of antimicrobial therapy yielded similar clinical outcomes as longer courses of therapy.

scholarly journals Comparison of Cancer Patients to Non-Cancer Patients among COVID-19 Inpatients at a National Level

Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1436
Author(s):  
Alain Bernard ◽  
Jonathan Cottenet ◽  
Philippe Bonniaud ◽  
Lionel Piroth ◽  
Patrick Arveux ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Patients ◽  
Mortality Risk ◽  
Hospital Admissions ◽  
National Level ◽  
Administrative Database ◽  
Hospital Death ◽  
Solid Cancer ◽  
Hematological Cancer ◽  
Risk Of Death

(1) Background: Several smaller studies have shown that COVID-19 patients with cancer are at a significantly higher risk of death. Our objective was to compare patients hospitalized for COVID-19 with cancer to those without cancer using national data and to study the effect of cancer on the risk of hospital death and intensive care unit (ICU) admission. (2) Methods: All patients hospitalized in France for COVID-19 in March–April 2020 were included from the French national administrative database, which contains discharge summaries for all hospital admissions in France. Cancer patients were identified within this population. The effect of cancer was estimated with logistic regression, adjusting for age, sex and comorbidities. (3) Results: Among the 89,530 COVID-19 patients, we identified 6201 cancer patients (6.9%). These patients were older and were more likely to be men and to have complications (acute respiratory and kidney failure, venous thrombosis, atrial fibrillation) than those without cancer. In patients with hematological cancer, admission to ICU was significantly more frequent (24.8%) than patients without cancer (16.4%) (p < 0.01). Solid cancer patients without metastasis had a significantly higher mortality risk than patients without cancer (aOR = 1.4 [1.3–1.5]), and the difference was even more marked for metastatic solid cancer patients (aOR = 3.6 [3.2–4.0]). Compared to patients with colorectal cancer, patients with lung cancer, digestive cancer (excluding colorectal cancer) and hematological cancer had a higher mortality risk (aOR = 2.0 [1.6–2.6], 1.6 [1.3–2.1] and 1.4 [1.1–1.8], respectively). (4) Conclusions: This study shows that, in France, patients with COVID-19 and cancer have a two-fold risk of death when compared to COVID-19 patients without cancer. We suggest the need to reorganize facilities to prevent the contamination of patients being treated for cancer, similar to what is already being done in some countries.

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