Laparoscopic cholecystectomy in cirrhotic patients: the value of MELD score and Child–Pugh classification in predicting outcome

Delis, Spiros; Bakoyiannis, Andreas; Madariaga, Juan; Bramis, John; Tassopoulos, Nikos; Dervenis, Christos

doi:10.1007/s00464-009-0588-y

Cited by 88 publications

(69 citation statements)

References 30 publications

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“…All these factors explain the lack of liver function deterioration in the LC group compared with the OC group. This finding was reported by Poggio et al [2], El-Awadi et al [7], and Delis et al [8].…”

Section: Discussionsupporting

confidence: 67%

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Clipless laparoscopic cholecystectomy using the Harmonic scalpel for cirrhotic patients: a prospective randomized study

et al. 2010

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Section: Discussionsupporting

confidence: 67%

“…Laparoscopic cholecystectomy offers the advantages of shorter anesthesia and operative times, reduced blood loss, and a reduced hospital stay [4,7,8].…”

mentioning

confidence: 99%

Clipless laparoscopic cholecystectomy using the Harmonic scalpel for cirrhotic patients: a prospective randomized study

et al. 2010

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“…However, a higher postoperative complication rate was noted for patients with MELD >13. 99 MELD score remains a powerful predictor of outcomes for head and neck cancer surgery at a cutoff of 9.7 (23% vs. 3% postoperative mortality; P = 0.03). 100 Regarding elective cardiac surgery, if possible, least invasive option of angioplasty with or without stent placement should be considered.…”

Section: Type Of Surgerymentioning

confidence: 94%

Model for End-stage Liver Disease

Singal

Kamath

2013

Journal of Clinical and Experimental Hepatology

132

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“…Readmission has been associated with limited English proficiency, 20 and with a lack of medical interpreter for those with limited English proficiency. 21 Fraility 22,23 and cirrhosis 24 are markers of poor outcomes after procedures, and could influence readmission after PCI. Conditions such as bleeding because of anticoagulation, atrial fibrillation, and syncope/presyncope are known to cause a significant number of readmissions after PCI, 25 but may not be captured at the time of index PCI to enable inclusion in registry-derived risk models.…”

Section: Discussionmentioning

confidence: 99%

Enhancing the Prediction of 30-Day Readmission After Percutaneous Coronary Intervention Using Data Extracted by Querying of the Electronic Health Record

Wasfy

Singal

O’Brien

et al. 2015

Circ: Cardiovascular Quality and Outcomes

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A mong patients discharged from the hospital, those discharged after undergoing percutaneous coronary intervention (PCI) have among the highest rates of early readmission, accounting for an estimated $359 million 1 cost each year to Medicare alone. Because of their importance, hospital 30-day readmission rates are now publicly reported on a volunteer basis on the Hospital Compare website. Identifying patients at high risk for readmission is critical to targeted interventions that improve value. Editorial see p 463Nevertheless, despite a growing emphasis on reducing short-term hospital readmissions, predicting readmissions accurately has remained elusive.2 Risk prediction models derived from registry data have been developed, 3 but are limited by modest discrimination. The electronic health record (EHR) may be a repository of patient-level information, including both structured and unstructured data, that can improve the ability to risk-stratify patients based on their likelihood of readmission.Registry-derived risk models can benefit from large data sets and reflect broad ranges of patients. Nevertheless, registryderived risk models cannot account for unstructured data. In fact, Background-Early readmission after percutaneous coronary intervention is an important quality metric, but prediction models from registry data have only moderate discrimination. We aimed to improve ability to predict 30-day readmission after percutaneous coronary intervention from a previously validated registry-based model. Methods and Results-We matched readmitted to non-readmitted patients in a 1:2 ratio by risk of readmission, and extracted unstructured and unconventional structured data from the electronic medical record, including need for medical interpretation, albumin level, medical nonadherence, previous number of emergency department visits, atrial fibrillation/ flutter, syncope/presyncope, end-stage liver disease, malignancy, and anxiety. We assessed differences in rates of these conditions between cases/controls, and estimated their independent association with 30-day readmission using logistic regression conditional on matched groups. Among 9288 percutaneous coronary interventions, we matched 888 readmitted with 1776 non-readmitted patients. In univariate analysis, cases and controls were significantly different with respect to interpreter (7.9% for cases and 5.3% for controls; P=0.009), emergency department visits (

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Laparoscopic cholecystectomy in cirrhotic patients: the value of MELD score and Child–Pugh classification in predicting outcome

Cited by 88 publications

References 30 publications

Clipless laparoscopic cholecystectomy using the Harmonic scalpel for cirrhotic patients: a prospective randomized study

Clipless laparoscopic cholecystectomy using the Harmonic scalpel for cirrhotic patients: a prospective randomized study

Model for End-stage Liver Disease

Enhancing the Prediction of 30-Day Readmission After Percutaneous Coronary Intervention Using Data Extracted by Querying of the Electronic Health Record

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