scholarly journals Using the ACS-NSQIP to Identify Factors Affecting Hospital Length of Stay After Elective Posterior Lumbar Fusion

Spine ◽  
2014 ◽  
Vol 39 (6) ◽  
pp. 497-502 ◽  
Author(s):  
Bryce A. Basques ◽  
Michael C. Fu ◽  
Rafael A. Buerba ◽  
Daniel D. Bohl ◽  
Nicholas S. Golinvaux ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Lumbar Fusion ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Factors Affecting ◽  
Posterior Lumbar Fusion ◽  
Acs Nsqip

Reduction of Inpatient Hospital Length of Stay in Lumbar Fusion Patients With Implementation of an Evidence-Based Clinical Care Pathway

Spine ◽  
2017 ◽  
Vol 42 (3) ◽  
pp. 169-176 ◽  
Author(s):  
Alison Bradywood ◽  
Farrokh Farrokhi ◽  
Barbara Williams ◽  
Mark Kowalczyk ◽  
C. Craig Blackmore
Keyword(s):  
Length Of Stay ◽  
Care Pathway ◽  
Lumbar Fusion ◽  
Clinical Care ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Evidence Based ◽  
Inpatient Hospital ◽  
Clinical Care Pathway

scholarly journals Multimodal Analgesia in Lumbar Fusion Surgery: Impact Amidst the Opioid Epidemic

Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Yi Lu ◽  
Erica Bertoncini
Keyword(s):  
Length Of Stay ◽  
Lumbar Fusion ◽  
Multimodal Analgesia ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Control Group ◽  
P Value ◽  
Standard Group ◽  
Fusion Surgery ◽  
Hospital Stays

Abstract INTRODUCTION Spine surgery traditionally relies on opioid analgesics for postoperative pain management. Opioids are associated with prolonged hospital stays and opioid use disorders. Opioid-focused prescribing habits in surgery have partially contributed to the opioid epidemic. METHODS A retrospective analysis was performed comparing patients receiving a multimodal analgesia regimen after lumbar fusion surgery vs control group receiving standard analgesia regimen. The multimodal regimen consisted of Acetaminophen 975 mg TID, Toradol 7.5 mg Q6 hours for 24-ho followed by Celebrex 100 mg BID for 7-d, Robaxin 500 mg Q6 hours prn for muscle spasms, Gabapentin 300 mg/100 mg TID for 4-wk, and prn narcotic. The standard regimen consisted of Acetaminophen 975 mg TID, narcotic prn, and muscle relaxant prn. There were 12 patients in the multimodal group and 26 patients in the control group evaluated over 3-mo and 6-mo time periods respectively. Primary outcomes included hospital length-of-stay, total and IV narcotic requirements in Morphine Milligram Equivalent (MME), and VASS pain scores. RESULTS Study results demonstrate differences between patient populations when focusing on the opioid-naïve participants. Opioid-naïve patients in the multimodal group were found to have significantly lower IV narcotic requirement than the control (0.22+/−0.67 mg/d for multimodal vs 5.36+/−5.56 mg/d for standard group, P-value = .001). These patients also had shorter hospital stays than the control (2.78+/−0.83 d for multimodal vs 3.53+/−1.17 d for standard group) but the difference was just below our threshold for significance (P-value = .066). Including both opioid-naïve and opioid-tolerant patients, no significant differences were found in hospital length-of-stay, MME, IV narcotic requirement nor VASS score between the multimodal group and the control groups (P-values of .46, .81, .36, and .91, respectively). CONCLUSION Overall, the study favors using multimodal analgesia in those undergoing lumbar spinal fusion surgeries as evident by considerably reduced IV narcotic requirement and nearly significant shortened hospital length-of-stay in opioid-naïve patients compared to control.

Use of a Clustered Model to Identify Factors Affecting Hospital Length of Stay

1999 ◽  
Vol 52 (11) ◽  
pp. 1031-1036 ◽  
Author(s):  
Yael C Cohen ◽  
Haya R Rubin ◽  
Laurence Freedman ◽  
Benjamin Mozes
Keyword(s):  
Length Of Stay ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Factors Affecting

scholarly journals Factors affecting hospital length of stay and hospital charges associated with road traffic-related injuries in Iran

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Hassan Haghparast-Bidgoli ◽  
Soheil Saadat ◽  
Lennart Bogg ◽  
Mohammad Hossein Yarmohammadian ◽  
Marie Hasselberg
Keyword(s):  
Length Of Stay ◽  
Road Traffic ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Hospital Charges ◽  
Factors Affecting

scholarly journals 1129: Factors affecting hospital length of stay after cesarean delivery

2020 ◽  
Vol 222 (1) ◽  
pp. S694-S695
Author(s):  
Kathy C. Matthews ◽  
Rebkah Tesfamariam ◽  
Stephen T. Chasen ◽  
Robin B. Kalish
Keyword(s):  
Length Of Stay ◽  
Cesarean Delivery ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Factors Affecting

scholarly journals Development and Validation of a web-based Postoperative Clostridioides difficile infection risk prediction model

2020 ◽  
Author(s):  
Sang H. Woo ◽  
Bryan Hess ◽  
Lily Ackermann ◽  
Scott W. Cowan ◽  
Jennifer Valentine
Keyword(s):  
Length Of Stay ◽  
Prediction Model ◽  
Risk Prediction ◽  
Infection Risk ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Surgical Patients ◽  
Training Cohort ◽  
Acs Nsqip ◽  
Clostridioides Difficile

AbstractBackgroundClostridioides difficile infection is associated with significant morbidity, mortality and increased costs. Assessment of the postoperative C. difficile infection risk is necessary to improve the outcome of surgical patients.ObjectiveTo develop and validate a risk prediction tool for C. difficile infection after surgery.MethodsIn this retrospective cohort study, 2,451,169 surgical patients from the American College of Surgeons National Surgical Quality Improvement Program Database (ACS-NSQIP) over 2015-2017 were included. Nine predictors were selected for the model: age, preoperative leukocytosis (>12 ×109/L), hematocrit (≤30%), chronic dialysis, insulin dependent diabetes, weight loss, steroid use, presence of preoperative sepsis, and surgery type. A second model included hospital length of stay as a predictor. A predictive model was developed using ACS-NSQIP 2015-2016 training cohort (n=1,435,157) and tested using 2017 validation cohort (n=1,016,012). Multivariate logistic regression was used for the model.Main outcomeThe primary outcome was postoperative 30-day C. difficile infection (CDI).Results0.39% of the patients (n=9,675) developed CDI and 42.3% (n=4,091) of CDI occurred post-discharge. The Clostridioides difficile risk prediction model had excellent AUC (area under the receiver operating characteristic curve) for postoperative C. difficile infection (training cohort=0.804, test cohort= 0.803). The model that includes hospital length of stay has a high AUC (training cohort=0.841, test cohort=0.838).ConclusionThe C. difficile prediction model provides a robust predictive tool for postoperative C. difficile infection.

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