Abstract TP453: The Effect of Case Volume and Comprehensive Stroke Centre Capabilities on Patient Outcomes of Clipping and Coiling for Subarachnoid Haemorrhage

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Ryota Kurogi ◽  
Akiko Kada ◽  
Kuniaki Ogasawara ◽  
Takanari Kitazono ◽  
Yoshiaki Shiokawa ◽  
...  

Objectives: To examine whether hospital case volume and comprehensive stroke centre(CSC) capabilities affect patient outcomes of clipping and coiling for subarachnoid haemorrhage (SAH). Methods: We conducted a nationwide retrospective cohort study. Using the J-ASPECT Diagnosis Procedure Combination database, we identified 27,490 SAH patients who underwent clipping or coiling in 621 institutions between 2010 and 2015. The CSC capabilities of each hospital were assessed using a validated scoring system (CSC score: 1-25 points). We classified the hospitals into quartiles based on CSC score and case volume of clipping or coiling for SAH. Results: In clipped patients, a high case volume ( > 14 cases / year) was significantly associated with reduced in-hospital mortality (Q1 as control, Q4 odds ratios (ORs) 0.71 [95% confidence interval 0.55 - 0.90]) but not poor outcome. In coiled patients, a high case volume ( > 9 cases / year) was associated with reduced in-hospital mortality (Q4 0.69 [0.53 - 0.90]) and poor outcomes (Q3 ( > 5 cases / year) 0.75 [0.59 - 0.96], Q4 0.65 [0.51 - 0.82]). A high CSC score ( > 19 points) was significantly associated with reduced in-hospital mortality of clipped (0.68 [0.54 - 0.86]) but not coiled patients. There was no association between CSC capabilities and poor outcomes. Conclusions: The effect of case volume and CSC capabilities on in-hospital mortality and short-term functional outcomes in SAH patients was different between clipping and coiling. In the modern endovascular era, better outcomes of clipping may be achieved in facilities with high CSC capabilities.

2020 ◽  
pp. 1-11 ◽  
Author(s):  
Ryota Kurogi ◽  
Akiko Kada ◽  
Kuniaki Ogasawara ◽  
Takanari Kitazono ◽  
Nobuyuki Sakai ◽  
...  

OBJECTIVEImproved outcomes in patients with subarachnoid hemorrhage (SAH) treated at high-volume centers have been reported. The authors sought to examine whether hospital case volume and comprehensive stroke center (CSC) capabilities affect outcomes in patients treated with clipping or coiling for SAH.METHODSThe authors conducted a nationwide retrospective cohort study in 27,490 SAH patients who underwent clipping or coiling in 621 institutions between 2010 and 2015 and whose data were collected from the Japanese nationwide J-ASPECT Diagnosis Procedure Combination database. The CSC capabilities of each hospital were assessed by use of a validated scoring system based on answers to a previously reported 25-item questionnaire (CSC score 1–25 points). Hospitals were classified into quartiles based on CSC scores and case volumes of clipping or coiling for SAH.RESULTSOverall, the absolute risk reductions associated with high versus low case volumes and high versus low CSC scores were relatively small. Nevertheless, in patients who underwent clipping, a high case volume (> 14 cases/yr) was significantly associated with reduced in-hospital mortality (Q1 as control, Q4 OR 0.71, 95% CI 0.55–0.90) but not with short-term poor outcome. In patients who underwent coiling, a high case volume (> 9 cases/yr) was associated with reduced in-hospital mortality (Q4 OR 0.69, 95% CI 0.53–0.90) and short-term poor outcomes (Q3 [> 5 cases/yr] OR 0.75, 95% CI 0.59–0.96 vs Q4 OR 0.65, 95% CI 0.51–0.82). A high CSC score (> 19 points) was significantly associated with reduced in-hospital mortality for clipping (OR 0.68, 95% CI 0.54–0.86) but not coiling treatment. There was no association between CSC capabilities and short-term poor outcomes.CONCLUSIONSThe effects of case volume and CSC capabilities on in-hospital mortality and short-term functional outcomes in SAH patients differed between patients undergoing clipping and those undergoing coiling. In the modern endovascular era, better outcomes of clipping may be achieved in facilities with high CSC capabilities.


Author(s):  
Jacob A. Doll ◽  
Adam J. Nelson ◽  
Lisa A. Kaltenbach ◽  
Daniel Wojdyla ◽  
Stephen W. Waldo ◽  
...  

Background: Percutaneous coronary intervention is performed by operators with differing experience, technique, and case mix. It is unknown if operator practice patterns impact patient outcomes. We sought to determine if a cluster algorithm can identify distinct profiles of percutaneous coronary intervention operators and if these profiles are associated with patient outcomes. Methods: Operators performing at least 25 annual procedures between 2014 and 2018 were clustered using an agglomerative hierarchical clustering algorithm. Risk-adjusted in-hospital mortality was compared between clusters. Results: We identified 4 practice profiles among 7706 operators performing 2 937 419 procedures. Cluster 1 (n=3345) demonstrated case mix and practice patterns similar to the national median. Cluster 2 (n=1993) treated patients with lower clinical acuity and were less likely to use intracoronary diagnostics, atherectomy, and radial access. Cluster 3 (n=1513) had the lowest case volume, were more likely to work at rural hospitals, and cared for a higher proportion of patients with ST-segment–elevation myocardial infarction and cardiogenic shock. Cluster 4 (n=855) had the highest case volume, were most likely to treat patients with high anatomic complexity and use atherectomy, intracoronary diagnostics, and mechanical support. Compared with cluster 1, adjusted in-hospital mortality was similar for cluster 2 (estimated difference, −0.03 [95% CI, −0.10 to 0.04]), higher for cluster 3 (0.14 [0.07–0.22]), and lower for cluster 4 (−0.15 [−0.24 to −0.06]). Conclusions: Distinct percutaneous coronary intervention operator profiles are differentially associated with patient outcomes. A phenotypic approach to physician assessment may provide actionable feedback for quality improvement.


2020 ◽  
Author(s):  
Shoujiang You ◽  
Lixuan Wang ◽  
Huaping Du ◽  
Danni Zheng ◽  
Chongke Zhong ◽  
...  

Abstract Background The impact of elevated total homocysteine (tHcy) on functional outcomes and pneumonia after acute ischemic stroke (AIS) is still not well understood. We investigated the association between tHcy levels upon hospital admission and in-hospital short-term outcomes in AIS patients. Methods A total of 2,084 AIS patients enrolled from December 2013 to May 2014 across 22 hospitals in Suzhou city were included in the present study. We divided patients into 4 groups according to their level of admission tHcy: Q1 (<9.70 umol/L), Q2 (9.70-12.3 umol/L), Q3 (12.3-16.9 umol/L), and Q4 (≥16.9 umol/L). Logistic regression models were used to estimate the effect of tHcy on the short-term outcomes, including in-hospital pneumonia, all cause in-hospital mortality and poor outcome upon discharge (modified Rankin Scale score ≥3) in AIS patients. Results During hospitalization, 332 patients (15.9%) had pneumonia, 57 patients (2.7%) died from all causes and 784 (37.6%) patients experienced poor outcome at discharge. The risk of in-hospital pneumonia was significantly higher in patients with highest tHcy level (Q4) compared to those with lowest (Q1) (adjusted odds ratio [OR] 1.55; 95% confidence interval [CI], 1.03-2.33; P -trend =0.019). The highest tHcy level (Q4) was associated with a 3.35-fold and 1.50-fold increase in the risk of in-hospital mortality(adjusted OR 3.35; 95% CI, 1.11–10.13; P -trend =0.015) and poor outcome upon discharge(adjusted OR 1.50; 95% CI, 1.06–2.12; P -trend =0.044) in comparison to Q1 after adjustment for potential covariates including pneumonia. Subgroup analyses further confirmed a significant association between higher tHcy levels and a high risk of short-term outcomes. Conclusions Having a high admission tHcy level was independently associated with in-hospital pneumonia, all cause in-hospital mortality and poor outcome upon discharge in AIS patients. Moreover, the association between higher tHcy and poor functional outcome was not modified by pneumonia.


Open Heart ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. e001860
Author(s):  
Robert Zheng ◽  
Kenya Kusunose ◽  
Yuichiro Okushi ◽  
Yoshihiro Okayama ◽  
Michikazu Nakai ◽  
...  

BackgroundCardiovascular diseases are the second most common cause of mortality among cancer survivors, after death from cancer. We sought to assess the impact of cancer on the short-term outcomes of acute myocardial infarction (AMI), by analysing data obtained from a large-scale database.MethodsThis study was based on the Diagnosis Procedure Combination database in the Japanese Registry of All Cardiac and Vascular Diseases and the Diagnosis Procedure Combination. We identified patients who were hospitalised for primary AMI between April 2012 and March 2017. Propensity Score (PS) was estimated with logistic regression model, with cancer as the dependent variable and 21 clinically relevant covariates. The main outcome was in-hospital mortality.ResultsWe split 1 52 208 patients into two groups with or without cancer. Patients with cancer tended to be older (cancer group 73±11 years vs non-cancer group 68±13 years) and had smaller body mass index (cancer group 22.8±3.6 vs non-cancer 23.9±4.3). More patients in the non-cancer group had hypertension or dyslipidaemia than their cancer group counterparts. The non-cancer group also had a higher rate of percutaneous coronary intervention (cancer 92.6% vs non-cancer 95.2%). Patients with cancer had a higher 30-day mortality (cancer 6.0% vs non-cancer 5.3%) and total mortality (cancer 8.1% vs non-cancer 6.1%) rate, but this was statistically insignificant after PS matching.ConclusionCancer did not significantly impact short-term in-hospital mortality rates after hospitalisation for primary AMI.


2020 ◽  
Author(s):  
Kentaro Hayashi ◽  
Yusuke Sasabuchi ◽  
Hiroki Matsui ◽  
Mikio Nakajima ◽  
Hiroyuki Ohbe ◽  
...  

Abstract Background: Cytokine removal therapy is one of the available therapies for sepsis. Acrylonitrile-co-methallyl sulfonate surface-treated (AN69ST, sepXiris®) membrane has cytokine adsorption capacity and has been widely used for treating sepsis in Japan. The aim of this study was to compare the effects of continuous renal replacement therapy (CRRT) with AN69ST membrane and conventional CRRT for patients with pneumonia-associated sepsis.Methods: We conducted a retrospective cohort study using the Diagnosis Procedure Combination database, a nationwide inpatient database in Japan. We identified adult patients who were hospitalized due to pneumonia and received CRRT within 2 days of admission from September 2014 to March 2017. We included patients who received CRRT with AN69ST membrane within 2 days of admission in the treatment group (AN69ST group); those who received CRRT with other membranes within 2 days of admission were included in the control group (non-AN69ST group). Propensity score matching was used to compare in-hospital mortality between the two groups.Results: Eligible patients (n=2,393) were categorized into the AN69ST group (n=631) or the non-AN69ST group (n=1,762). The overall in-hospital mortality rate in pneumonia patients treated with CRRT was 38.9%. Propensity score matching created a matched cohort of 545 pairs of patients. The in-hospital mortality rate was significantly lower in the AN69ST group than in the non-AN69ST group (35.8 vs. 41.8%, p=0.046).Conclusion: Our data suggest that CRRT with the AN69ST membrane was associated with a significantly lower in-hospital mortality than CRRT with standard membranes among patients with pneumonia-associated sepsis.


2016 ◽  
Vol 158 (5) ◽  
pp. 829-835 ◽  
Author(s):  
Harshal Deshmukh ◽  
Matthew Hinkley ◽  
Louise Dulhanty ◽  
Hiren C. Patel ◽  
J. P. Galea

Author(s):  
Kexin Huang ◽  
Tamryn F Gray ◽  
Santiago Romero-Brufau ◽  
James A Tulsky ◽  
Charlotta Lindvall

Abstract Objective Electronic health record documentation by intensive care unit (ICU) clinicians may predict patient outcomes. However, it is unclear whether physician and nursing notes differ in their ability to predict short-term ICU prognosis. We aimed to investigate and compare the ability of physician and nursing notes, written in the first 48 hours of admission, to predict ICU length of stay and mortality using 3 analytical methods. Materials and Methods This was a retrospective cohort study with split sampling for model training and testing. We included patients ≥18 years of age admitted to the ICU at Beth Israel Deaconess Medical Center in Boston, Massachusetts, from 2008 to 2012. Physician or nursing notes generated within the first 48 hours of admission were used with standard machine learning methods to predict outcomes. Results For the primary outcome of composite score of ICU length of stay ≥7 days or in-hospital mortality, the gradient boosting model had better performance than the logistic regression and random forest models. Nursing and physician notes achieved area under the curves (AUCs) of 0.826 and 0.796, respectively, with even better predictive power when combined (AUC, 0.839). Discussion Models using only nursing notes more accurately predicted short-term prognosis than did models using only physician notes, but in combination, the models achieved the greatest accuracy in prediction. Conclusions Our findings demonstrate that statistical models derived from text analysis in the first 48 hours of ICU admission can predict patient outcomes. Physicians’ and nurses’ notes are both uniquely important in mortality prediction and combining these notes can produce a better predictive model.


BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
María E. Ramos-Araque ◽  
◽  
James E. Siegler ◽  
Marc Ribo ◽  
Manuel Requena ◽  
...  

Abstract Background and purpose Coronavirus disease 2019 (COVID-19) is associated with a small but clinically significant risk of stroke, the cause of which is frequently cryptogenic. In a large multinational cohort of consecutive COVID-19 patients with stroke, we evaluated clinical predictors of cryptogenic stroke, short-term functional outcomes and in-hospital mortality among patients according to stroke etiology. Methods We explored clinical characteristics and short-term outcomes of consecutively evaluated patients 18 years of age or older with acute ischemic stroke (AIS) and laboratory-confirmed COVID-19 from 31 hospitals in 4 countries (3/1/20–6/16/20). Results Of the 14.483 laboratory-confirmed patients with COVID-19, 156 (1.1%) were diagnosed with AIS. Sixty-one (39.4%) were female, 84 (67.2%) white, and 88 (61.5%) were between 60 and 79 years of age. The most frequently reported etiology of AIS was cryptogenic (55/129, 42.6%), which was associated with significantly higher white blood cell count, c-reactive protein, and D-dimer levels than non-cryptogenic AIS patients (p</=0.05 for all comparisons). In a multivariable backward stepwise regression model estimating the odds of in-hospital mortality, cryptogenic stroke mechanism was associated with a fivefold greater odds in-hospital mortality than strokes due to any other mechanism (adjusted OR 5.16, 95%CI 1.41–18.87, p = 0.01). In that model, older age (aOR 2.05 per decade, 95%CI 1.35–3.11, p < 0.01) and higher baseline NIHSS (aOR 1.12, 95%CI 1.02–1.21, p = 0.01) were also independently predictive of mortality. Conclusions Our findings suggest that cryptogenic stroke among COVID-19 patients carries a significant risk of early mortality.


2009 ◽  
Vol 115 (3) ◽  
pp. 334-338 ◽  
Author(s):  
Robert E. Bristow ◽  
Marianna L. Zahurak ◽  
Teresa P. Diaz-Montes ◽  
Robert L. Giuntoli ◽  
Deborah K. Armstrong

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