scholarly journals Impact of AKI care bundles on kidney and patient outcomes in hospitalized patients: a systematic review and meta-analysis

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Hannah A. I. Schaubroeck ◽  
Diana Vargas ◽  
Wim Vandenberghe ◽  
Eric A. J. Hoste
Keyword(s):  
Systematic Review ◽  
Length Of Stay ◽  
Patient Outcomes ◽  
Meta Analysis ◽  
Kidney Injury ◽  
Hospitalized Patients ◽  
Hospital Length Of Stay ◽  
Care Bundle ◽  
Care Bundles ◽  
Bundle Compliance

Abstract Background A bundle of preventive measures can be taken to avoid acute kidney injury (AKI) or progression of AKI. We performed a systematic review and meta-analysis to evaluate the compliance to AKI care bundles in hospitalized patients and its impact on kidney and patient outcomes. Methods Randomized controlled trials, observational and interventional studies were included. Studied outcomes were care bundle compliance, occurrence of AKI and moderate-severe AKI, use of kidney replacement therapy (KRT), kidney recovery, mortality (ICU, in-hospital and 30-day) and length-of-stay (ICU, hospital). The search engines PubMed, Embase and Google Scholar were used (January 1, 2012 - June 30, 2021). Meta-analysis was performed with the Mantel Haenszel test (risk ratio) and inverse variance (mean difference). Bias was assessed by the Cochrane risk of bias tool (RCT) and the NIH study quality tool (non-RCT). Results We included 23 papers of which 13 were used for quantitative analysis (4 RCT and 9 non-randomized studies with 25,776 patients and 30,276 AKI episodes). Six were performed in ICU setting. The number of trials pooled per outcome was low. There was a high variability in care bundle compliance (8 to 100%). Moderate-severe AKI was less frequent after bundle implementation [RR 0.78, 95%CI 0.62–0.97]. AKI occurrence and KRT use did not differ between the groups [resp RR 0.90, 95%CI 0.76–1.05; RR 0.67, 95%CI 0.38–1.19]. In-hospital and 30-day mortality was lower in AKI patients exposed to a care bundle [resp RR 0.81, 95%CI 0.73–0.90, RR 0.95 95%CI 0.90–0.99]; this could not be confirmed by randomized trials. Hospital length-of-stay was similar in both groups [MD -0.65, 95%CI -1.40,0.09]. Conclusion This systematic review and meta-analysis shows that implementation of AKI care bundles in hospitalized patients reduces moderate-severe AKI. This result is mainly driven by studies performed in ICU setting. Lack of data and heterogeneity in study design impede drawing firm conclusions about patient outcomes. Moreover, compliance to AKI care bundles in hospitalized patients is highly variable. Additional research in targeted patient groups at risk for moderate-severe AKI with correct and complete implementation of a feasible, well-tailored AKI care bundle is warranted. (CRD42020207523).

scholarly journals Optimal use of tocilizumab for severe and critical COVID-19: a systematic review and meta-analysis

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 73
Author(s):  
Cahyo Wibisono Nugroho ◽  
Satriyo Dwi Suryantoro ◽  
Yuliasih Yuliasih ◽  
Alfian Nur Rosyid ◽  
Tri Pudy Asmarawati ◽  
...  
Keyword(s):  
Systematic Review ◽  
Length Of Stay ◽  
Critically Ill ◽  
Meta Analysis ◽  
Standard Of Care ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Eligibility Criteria ◽  
All Cause Mortality ◽  
Clinical Benefits

Background: Several studies have revealed the potential use of tocilizumab in treating COVID-19 since no therapy has yet been approved for COVID-19 pneumonia. Tocilizumab may provide clinical benefits for cytokine release syndrome in COVID-19 patients. Methods: We searched for relevant studies in PubMed, Embase, Medline, and Cochrane published from March to October 2020 to evaluate optimal use and baseline criteria for administration of tocilizumab in severe and critically ill COVID-19 patients. Research involving patients with confirmed SARS-CoV-2 infection, treated with tocilizumab and compared with the standard of care (SOC) was included in this study. We conducted a systematic review to find data about the risks and benefits of tocilizumab and outcomes from different baseline criteria for administration of tocilizumab as a treatment for severe and critically ill COVID-19 patients. Results: A total of 26 studies, consisting of 23 retrospective studies, one prospective study, and two randomised controlled trials with 2112 patients enrolled in the tocilizumab group and 6160 patients in the SOC group, were included in this meta-analysis. Compared to the SOC, tocilizumab showed benefits for all-cause mortality events and a shorter time until death after first intervention but showed no difference in hospital length of stay. Upon subgroup analysis, tocilizumab showed fewer all-cause mortality events when CRP level ≥100 mg/L, P/F ratio 200-300 mmHg, and P/F ratio <200 mmHg. However, tocilizumab showed a longer length of stay when CRP <100 mg/L than the SOC. Conclusion: This meta-analysis demonstrated that tocilizumab has a positive effect on all-cause mortality. It should be cautiously administrated for optimal results and tailored to the patient's eligibility criteria.

Clinical and Economic Outcomes of Telemedicine Programs in the Intensive Care Unit: A Systematic Review and Meta-Analysis

2017 ◽  
Vol 33 (7) ◽  
pp. 383-393 ◽  
Author(s):  
Jing Chen ◽  
Dalong Sun ◽  
Weiming Yang ◽  
Mingli Liu ◽  
Shufan Zhang ◽  
...  
Keyword(s):  
Systematic Review ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Length Of Stay ◽  
Hospital Mortality ◽  
Meta Analysis ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Icu Length Of Stay ◽  
The Impact

Objective: To evaluate the impact of telemedicine programs in intensive care unit (Tele-ICU) on ICU or hospital mortality or ICU or hospital length of stay and to summarize available data on implementation cost of Tele-ICU. Methods: Controlled trails or observational studies assessing outcomes of interest were identified by searching 7 electronic databases from inception to July 2016 and related journals and conference literatures between 2000 and 2016. Two reviewers independently screened searched records, extracted data, and assessed the quality of included studies. Random-effect models were applied to meta-analyses and sensitivity analysis. Results: Nineteen of 1035 records fulfilled the inclusion criteria. The pooled effects demonstrated that Tele-ICU programs were associated with reductions in ICU mortality (15 studies; risk ratio [RR], 0.83; 95% confidence interval [CI], 0.72 to 0.96; P = .01), hospital mortality (13 studies; RR, 0.74; 95% CIs, 0.58 to 0.96; P = .02), and ICU length of stay (9 studies; mean difference [MD], −0.63; 95% CI, −0.28 to 0.17; P = .007). However, there is no significant association between the reduction in hospital length of stay and Tele-ICU programs. Summary data concerning costs suggested approximately US$50 000 to US$100 000 per Tele-ICU bed was required to implement Tele-ICU programs for the first year. Hospital costs of US$2600 reduction to US$5600 increase per patient were estimated using Tele-ICU programs. Conclusions: This systematic review and meta-analysis provided limited evidence that Tele-ICU approaches may reduce the ICU and hospital mortality, shorten the ICU length of stay, but have no significant effect in hospital length of stay. Implementation of Tele-ICU programs substantially costs and its long-term cost-effectiveness is still unclear.

scholarly journals The effects of care bundles on patient outcomes: a systematic review and meta-analysis

2017 ◽  
Vol 12 (1) ◽  
Author(s):  
Jacqueline F. Lavallée ◽  
Trish A. Gray ◽  
Jo Dumville ◽  
Wanda Russell ◽  
Nicky Cullum
Keyword(s):  
Systematic Review ◽  
Patient Outcomes ◽  
Meta Analysis ◽  
Care Bundles

scholarly journals Acute kidney injury in hospitalized COVID-19 patients in Iran; a systematic review and meta-analysis

2021 ◽  
Vol 10 (2) ◽  
pp. e09-e09
Author(s):  
Alireza Saghafi ◽  
Mohammad Aghaali ◽  
Hossein Saghafi
Keyword(s):  
Systematic Review ◽  
Acute Kidney Injury ◽  
Racial Differences ◽  
Outcome Measurement ◽  
Meta Analysis ◽  
Renal Involvement ◽  
Kidney Injury ◽  
The United States ◽  
Hospitalized Patients ◽  
Published Data

Acute kidney injury (AKI) is one of the complications in COVID-19 patients, which is reported with widely varied incidence rates in different studies and is known to have a major impact on prognosis and outcome of the disease. It is noticed that there are considerable differences in AKI rates between different countries. Rates in China are generally much lower than in Western Europe and the United States. One of the potential explanations is heterogeneity along racial and ethnic lines. This study aims to systematically investigate the scientific resources regarding AKI prevalence among hospitalized COVID-19 patients in Iran, and run a meta-analysis on currently published data. Web of Science, PubMed, Embase, Scopus, and Google Scholar databases were searched to identify the articles discussing the occurrence of AKI in hospitalized patients with COVID-19 in Iran. All observational and interventional studies with English full-text providing necessary data for analysis were included with no limitation in time of release or peer-review. Around, 4069 confirmed cases (age; 10-94) from 22 studies were included in the pooled outcome measurement. The proportion of hospitalized patients with COVID-19 in Iran who developed AKI was 24% (95% CI: 17-31%). To the best of our knowledge, this is the first systematic review and meta-analysis to measure the prevalence of AKI in hospitalized COVID-19 patients in Iran. The geographical dissimilarities in the proportion of AKI among COVID-19 patients suggest a role for ethnical and racial differences in the tendency to develop renal involvement.

scholarly journals Local or general anesthesia for TAVI surgery? An updated systematic review and meta-analysis

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
D R Cheng
Keyword(s):  
Systematic Review ◽  
Mortality Rate ◽  
Length Of Stay ◽  
Cohort Studies ◽  
Meta Analysis ◽  
Hospital Length ◽  
Cardiovascular Drugs ◽  
Hospital Length Of Stay ◽  
Procedure Time ◽  
Procedural Success

Abstract Background The choice of anesthesia for transcatheter aortic valve implantation (TAVI) is still under controversial. This systematic review and meta-analysis was performed to evaluate the safety of local anesthesia (LA) with or without conscious sedation (CS) and general anesthesia (GA) for the TAVI-procedure. Methods This meta-analysis is registered with PROSPERO (CRD42021221777). We searched OVID, PUBMED, EMBASE, Web of Science databases to collect all the related studies published from January 1, 2002 to December 31, 2020. The primary outcome measures were hospital length of stay, operation time, 30-day mortality, use of cardiovascular drugs, permanent pacemaker (PPM) implantation rate, stroke rate, the incidence of myocardial infarction (MI), incidence of acute kidney injury (AKI), major bleeding (MB) rate, rate of procedural success. Results A total of 33 studies (3 RCT studies, 23 retrospective cohort studies, 4 prospective cohort studies, 3 case-control studies) including 23244 patients were analyzed. There were no significant statistically differences between LA and GA with respect to PPM [OR=0.99, 95% CI (0.88, 1.11), P=0.88], shock [OR=0.91, 95% CI (0.69, 1.21), P=0.52], MI [OR=0.89, 95% CI (0.52, 1.53), P=0.68], AKI [OR=1.26, 95% CI (0.99, 1.62), P=0.06], rate of procedural success [OR=0.66, 95% CI (0.43, 1.03), P=0.06]. However, compared to GA, LA for TAVI was associated with a significantly shorter hospital length of stay [WMD=−2.45, 95% CI (−2.77, −2.13), P&lt;0.ehab724.16701], a reduction in procedure time [WMD=−12.32, 95% CI (−13.78, −10.87), P&lt;0.ehab724.16701], a reduction in using of cardiovascular drugs [OR=0.52, 95% CI (0.35, 0.78), P=0.002] and in MB [OR=0.59, 95% CI (0.46, 0.75), P&lt;0.0001], reduced 30-day mortality rate [OR=1.19, 95% CI (1.00, 1.42), P=0.05]. Conclusion This Systematic review and meta-analysis showed that compared to GA, LA for TAVI can reduce hospital length of stay, procedure time, 30-day mortality rate, use of cardiovascular drugs, and MB rate, but no significant differences in PPM, shock, MI, AKI, and the rate of procedural success. FUNDunding Acknowledgement Type of funding sources: None.

After-Hours/Nighttime Transfers Out of the Intensive Care Unit and Patient Outcomes: A Systematic Review and Meta-Analysis

2020 ◽  
pp. 088506662098441
Author(s):  
Anton I. Moshynskyy ◽  
Jonathan F. Mailman ◽  
Eric J. Sy
Keyword(s):  
Systematic Review ◽  
Critical Care ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Patient Outcomes ◽  
Meta Analysis ◽  
Case Series ◽  
Hospital Length Of Stay ◽  
Cochrane Library ◽  
After Hours

Purpose: We evaluated the effects of after-hours/nighttime patient transfers out of the ICU on patient outcomes, by performing a systematic review and meta-analysis (PROSPERO CRD 42017074082). Data Sources: MEDLINE, PubMed, EMBASE, Google Scholar, CINAHL, and the Cochrane Library from 1987-November 2019. Conference abstracts from the Society of Critical Care Medicine, American Thoracic Society, CHEST, Critical Care Canada Forum, and European Society of Intensive Care Medicine from 2011-2019. Data Extraction: Observational or randomized studies of adult ICU patients were selected if they compared after-hours transfer out of the ICU to daytime transfer on patient outcomes. Case reports, case series, letters, and reviews were excluded. Study year, country, design, co-variates for adjustment, definitions of after-hours, mortality rates, ICU readmission rates, and hospital length of stay (LOS) were extracted. Data Synthesis: We identified 3,398 studies. Thirty-one observational studies (1,418,924 patients) were selected for the systematic review and meta-analysis. Included studies had varying definitions of after-hours, with the after-hours period starting anytime between 16:00-22:00 and ending between 06:00-09:00. Approximately 16% of transfers occurred after-hours. After-hours transfers were associated with increased in-hospital mortality for both unadjusted (odds ratio [OR] 1.51, 95% confidence interval [CI] 1.30-1.75, I2 = 96%, number of studies [n] = 26, P < 0.001, low certainty) and adjusted (OR 1.32, 95% CI 1.25-1.38, I 2 = 33%, n = 10, P < 0.001, low certainty) data, compared to daytime transfers. They were also associated with increased ICU readmission (pooled unadjusted OR 1.28, 95% CI 1.18-1.38, I2 = 85%, n = 17, P < 0.001, low certainty) and longer hospital LOS (standardized mean difference 0.13, 95% CI 0.09-0.18, I 2 = 93%, n = 9, P < 0.001, low certainty), compared to daytime transfers. Conclusions: After-hours transfers out of the ICU are associated with increased in-hospital mortality, ICU readmission, and hospital LOS, across many settings. While the certainty of evidence is low, future research is needed to reduce the number and effects of after-hours transfers.

scholarly journals Clinical outcomes of digital sensor alerting systems in remote monitoring: a systematic review and meta-analysis

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Fahad M. Iqbal ◽  
Kyle Lam ◽  
Meera Joshi ◽  
Sadia Khan ◽  
Hutan Ashrafian ◽  
...  
Keyword(s):  
Systematic Review ◽  
Emergency Department ◽  
Length Of Stay ◽  
Clinical Outcomes ◽  
Remote Monitoring ◽  
Meta Analysis ◽  
Hospital Length Of Stay ◽  
Healthcare Outcomes ◽  
Outpatient Visits ◽  
Alerting Systems

AbstractAdvances in digital technologies have allowed remote monitoring and digital alerting systems to gain popularity. Despite this, limited evidence exists to substantiate claims that digital alerting can improve clinical outcomes. The aim of this study was to appraise the evidence on the clinical outcomes of digital alerting systems in remote monitoring through a systematic review and meta-analysis. A systematic literature search, with no language restrictions, was performed to identify studies evaluating healthcare outcomes of digital sensor alerting systems used in remote monitoring across all (medical and surgical) cohorts. The primary outcome was hospitalisation; secondary outcomes included hospital length of stay (LOS), mortality, emergency department and outpatient visits. Standard, pooled hazard ratio and proportion of means meta-analyses were performed. A total of 33 studies met the eligibility criteria; of which, 23 allowed for a meta-analysis. A 9.6% mean decrease in hospitalisation favouring digital alerting systems from a pooled random effects analysis was noted. However, pooled weighted mean differences and hazard ratios did not reproduce this finding. Digital alerting reduced hospital LOS by a mean difference of 1.043 days. A 3% mean decrease in all-cause mortality from digital alerting systems was noted. There was no benefit of digital alerting with respect to emergency department or outpatient visits. Digital alerts can considerably reduce hospitalisation and length of stay for certain cohorts in remote monitoring. Further research is required to confirm these findings and trial different alerting protocols to understand optimal alerting to guide future widespread implementation.

scholarly journals Geospatial Distribution and Predictors of Mortality in Hospitalized Patients With COVID-19: A Cohort Study

2020 ◽  
Vol 7 (10) ◽  
Author(s):  
◽  
S K Mallipattu ◽  
R Jawa ◽  
R Moffitt ◽  
J Hajagos ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Logistic Regression ◽  
Cohort Study ◽  
Length Of Stay ◽  
Regression Models ◽  
Kidney Injury ◽  
Hospital Length ◽  
Hospitalized Patients ◽  
Hospital Length Of Stay ◽  
Logistic Regression Models

Abstract Background The global coronavirus disease 2019 (COVID-19) pandemic offers the opportunity to assess how hospitals manage the care of hospitalized patients with varying demographics and clinical presentations. The goal of this study was to demonstrate the impact of densely populated residential areas on hospitalization and to identify predictors of length of stay and mortality in hospitalized patients with COVID-19 in one of the hardest hit counties internationally. Methods This was a single-center cohort study of 1325 sequentially hospitalized patients with COVID-19 in New York between March 2, 2020, to May 11, 2020. Geospatial distribution of study patients’ residences relative to population density in the region were mapped, and data analysis included hospital length of stay, need and duration of invasive mechanical ventilation (IMV), and mortality. Logistic regression models were constructed to predict discharge dispositions in the remaining active study patients. Results The median age of the study cohort (interquartile range [IQR]) was 62 (49–75) years, and more than half were male (57%) with history of hypertension (60%), obesity (41%), and diabetes (42%). Geographic residence of the study patients was disproportionately associated with areas of higher population density (rs = 0.235; P = .004), with noted “hot spots” in the region. Study patients were predominantly hypertensive (MAP &gt; 90 mmHg; 670, 51%) on presentation with lymphopenia (590, 55%), hyponatremia (411, 31%), and kidney dysfunction (estimated glomerular filtration rate &lt; 60 mL/min/1.73 m2; 381, 29%). Of the patients with a disposition (1188/1325), 15% (182/1188) required IMV and 21% (250/1188) developed acute kidney injury. In patients on IMV, the median (IQR) hospital length of stay in survivors (22 [16.5–29.5] days) was significantly longer than that of nonsurvivors (15 [10–23.75] days), but this was not due to prolonged time on the ventilator. The overall mortality in all hospitalized patients was 15%, and in patients receiving IMV it was 48%, which is predicted to minimally rise from 48% to 49% based on logistic regression models constructed to project disposition in the remaining patients on ventilators. Acute kidney injury during hospitalization (odds ratioE, 3.23) was the strongest predictor of mortality in patients requiring IMV. Conclusions This is the first study to collectively utilize the demographics, clinical characteristics, and hospital course of COVID-19 patients to identify predictors of poor outcomes that can be used for resource allocation in future waves of the pandemic.

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