The prognostic nutritional index is correlated negatively with the lung allocation score and predicts survival after both cadaveric and living-donor lobar lung transplantation

Effect of pretransplant sarcopenia on patient and graft outcomes in solid organ transplant recipients: A systematic review and meta-analysis

The relationship between sarcopenia and prognosis in solid organ transplantation recipients (SOTr) remains unverified. We aimed to quantify the prevalence of pretransplant sarcopenia and its effect on patient and graft survival in SOTr. We used PubMed, EMBASE, Cochrane Library and Web of Science to search relevant studies published in English (from inception to December 31, 2021). Prospective and retrospective cohort studies that reported the prevalence of sarcopenia before transplant or the association between sarcopenia and clinical outcomes in SOTr were included. Primary outcomes were the prevalence of sarcopenia and its impact on patient and graft survival. Secondary outcomes included perioperative complications, acute rejection, length of hospital stay, length of intensive care unit stay (ICU LOS) and early readmission. Thirty-nine studies involving 5792 patients were included. Pooled prevalence of sarcopenia amongst SOTr candidates was 40 % (95 % confidence interval [CI]: 34%-47 % and I2 = 97 %). Sarcopenia was associated with increased risk of death (hazard ratio [HR] = 1.87, 95 % CI: 1.46-2.41 and I2 = 60 %), poor graft survival (HR = 1.71, 95 % CI: 1.16-2.54 and I2 = 57 %) and increased liver graft loss (HR = 1.43, 95 % CI: 1.03-1.99 and I2 = 38 %). Patients with sarcopenia demonstrated increased incidence of perioperative complications (risk ratio [RR] = 1.34, 95 % CI: 1.17-1.53 and I2 = 40 %), long ICU LOS (mean difference = 2.31 days, 95 % CI: 0.58-4.04 and I2 = 97 %) and decreased risk of acute rejection (RR = 0.61, 95 % CI: 0.42-0.89 and I2 = 0 %). In Conclusion, sarcopenia is prevalent in SOTr candidates and associated with death and graft loss. Identifying sarcopenia before transplantation and intervening may improve long-term outcomes.

Restrictive allograft dysfunction rather than bronchiolitis obliterans syndrome had a major impact on the overall survival after living-donor lobar lung transplantation

PURPOSE

Chronic lung allograft dysfunction (CLAD) is a known long-term fatal disorder after lung transplantation. In this study, we evaluated the CLAD classification of the International Society for Heart and Lung Transplantation (ISHLT) for living-donor lobar lung transplantation (LDLLT).

METHODS

We conducted a single-center retrospective review of data from 73 patients who underwent bilateral LDLLT between 1998 and 2019. Factors related to opacity on computed tomography (CT) and restriction on pulmonary function tests (PFTs) were also analyzed.

RESULTS

Overall, 26 (36%) patients were diagnosed with CLAD, including restrictive allograft syndrome (RAS), n = 10 (38.5%); bronchiolitis obliterans syndrome (BOS), n = 8 (30.8%); mixed, n = 1 (3.8%); undefined, n = 2 (7.7%); and unclassified, n = 5 (19.2%). The 5-year survival rate after the CLAD onset was 60.7%. The survival of patients with BOS was significantly better than that of patients with RAS (p = 0.012). In particular, patients with restriction on PFT had a significantly worse survival than those without restriction (p = 0.001).

CONCLUSIONS

CLAD after bilateral LDLLT does not have a major impact on the recipient survival, especially in patients with BOS. Restriction on PFT may predict a particularly poor prognosis in patients with CLAD after bilateral LDLLT.

Preoperative prognostic nutritional index is an independent indicator for perioperative prognosis in coronary artery bypass grafting patients

OBJECTIVES

The prognostic nutritional index is widely used for surgery prognosis, but the association between preoperative prognostic nutritional index and short-term prognosis for coronary artery bypass grafting surgery and the profiles of perioperative prognostic nutritional index remain unclear.

METHODS

This study retrospectively enrolled a total of 879 adult patients undergoing coronary artery bypass grafting surgery in the Shanghai Chest Hospital from 2006 to 2022. The prognostic nutritional index was calculated based on serum albumin and peripheral lymphocyte count. In-hospital mortality, demographic characteristics, blood biochemistry parameters, cardiovascular medical history, and physical examination results were collected from the hospital information system. The propensity score matching method and multivariate logistic regression were used to detect the association between preoperative prognostic nutritional index and in-hospital mortality.

RESULTS

Patients were divided into a high-prognostic nutritional index group (n = 500) and a low-prognostic nutritional index group (n = 379), using a cutoff value of 48.1 according to receiver operating characteristic curve analysis. The propensity score matching-adjusted mean prognostic nutritional index levels decreased from 48.35 before the operation to 34.04 an in ≤24 h after the operation and rebounded to 43.36 before discharge. High preoperative prognostic nutritional index was inversely associated with in-hospital mortality for coronary artery bypass grafting surgery (odds ratio = 0.86; 95% CI, 0.77-0.97) in propensity score matching-adjusted multivariate logistic regression.

CONCLUSIONS

Preoperative prognostic nutritional index is an independent indicator for in-hospital mortality of for coronary artery bypass grafting surgery, and the variation trend of prognostic nutritional index during perioperation tends to be U-shaped.

Bibliometric analysis of the classic cited papers in the American Journal of Surgery: Citation recapitulates surgical history

BACKGROUND

We performed a bibliometric analysis of the American Journal of Surgery (AJS) to identify, characterize and place within a historical context, its published classic cited papers (CCPs).

METHODS

Bibliometric data from papers published in the AJS between January 1, 1945, and December 31, 2021 was extracted from the Web of Science database. Analysis was performed utilizing Bibliometrix and VOSViewer software.

RESULTS

27,070 papers were published in the AJS over the study period. There were 16 CCPs, including 5 Top CCPs, identified. Review of the Top CCPs reveals that they are based on careful clinical observations, innovation and generally build on prior published work. Top CCPs usually are specific to a particular diagnosis or a commonly performed procedure, as such papers frequently present a scoring or classification system, or important details related to new operative approaches or techniques.

CONCLUSIONS

Bibliometric study of the AJS has allowed for identification, characterization and appreciation of many of the key changes that have occurred in the discipline throughout the history of modern surgery.

Relationship between Preoperative Nutritional Status and Clinical Outcomes in Patients with Head and Neck Cancer

The nutritional status in cancer patients is related to cancer survival and surgical outcome. The objective of this study was to examine the relationship between preoperative prognostic nutritional index (PNI) and post-operative clinical outcomes in head and neck cancer (HNC) patients. A total of 1282 head and neck cancer patients receiving surgical resection in Changhua Christian Hospital between 1 January 2010 and 30 August 2021 were recruited in the final analysis after undergoing propensity score matching analysis. The logistic regression model was used to assess the association of the PNI group with overall and various complications. The patients in the high PNI group had a significant lower incidence of overall complications, medical complications, and pulmonary complications; but not significant surgical complications. The high PNI group had lower mortality risk. The results in this study revealed that PNI score was a significant independent predictor of postoperative complications in HNC patients undergoing surgical resection. We recommend preoperative testing and evaluation of HNC patients to identify low PNI and high-risk groups for postoperative surveillance.

The impact of prognostic nutrition index on the waitlist mortality of lung transplantation

OBJECTIVE

The prognostic nutrition index (PNI), calculated using serum albumin and total lymphocyte count, is a recent topical index related to inflammation. Preoperative PNI is regarded as a new preoperative prognostic score in lung transplantation (LTx). This study aimed to investigate the impact of PNI at the time of registration as a prognostic parameter of mortality on the waiting list for LTx.

METHODS

A retrospective review was conducted on the data of 132 adult patients registered for LTx in our department between January 2013 and June 2020. Patients who finally received LTx were analyzed as censored data. The overall survival was evaluated using the Kaplan-Meier method for pre-registered clinical factors including the PNI at the time of registration. Overall survival was calculated from the date of listing to the Japan Organ Transplant Network to the date of death.

RESULTS

The low-PNI group had a significantly worse prognosis. Multivariate analysis demonstrated that age (p = 0.023), idiopathic interstitial pneumonia (p < 0.001), lung allocation score (LAS) (p < 0.001), and PNI (p < 0.001) were independent prognostic factors for waitlist mortality.

CONCLUSIONS

PNI at the time of registration can be an independent prognostic parameter in registered candidates for LTx.

The Lung Allocation Score and Other Available Models Lack Predictive Accuracy for Post-Lung Transplant Survival

BACKGROUND

Improved predictive models are needed in lung transplantation in the setting of a proposed allocation system that incorporates longer-term post-transplant survival in the United States. Allocation systems require accurate mortality predictions to justly allocate organs.

METHODS

Utilizing the United Network for Organ Sharing database (2005-2017), we fit models to predict 1-year mortality based on the Lung Allocation Score (LAS), the Chan, et al, 2019 model, a novel "clinician" model (a priori clinician selection of pre-transplant covariates), and two machine learning models (Least Absolute Shrinkage and Selection Operator; LASSO and Random Forests) for predicting 1-year and 3-year post-transplant mortality. We compared predictive accuracy among models. We evaluated the calibration of models by comparing average predicted probability vs observed outcome per decile. We repeated analyses fit for 3-year mortality, disease category, including donor covariates, and LAS era.

RESULTS

The area under the cure for all models was low, ranging from 0.55 to 0.62. All exhibited reasonable negative predictive values (0.87-0.90), but the positive predictive value for was poor (all <0.25). Evaluating LAS calibration found 1-year post-transplant estimates consistently overestimated risk of mortality, with greater differences in higher deciles. LASSO, Random Forests, and clinician models showed no improvement when evaluated by disease category or with the addition of donor covariates and performed worse for 3-year outcomes.

CONCLUSIONS

The LAS overestimated patients' risk of post-transplant death, thus underestimating transplant benefit in the sickest candidates. Novel models based on pre-transplant recipient covariates failed to improve prediction. There should be wariness in post-transplant survival predictions from available models.

Importance of the preoperative prognostic nutritional index score as a predictor of chronic lung allograft dysfunction after lung transplantation: a Japanese single-institution study

PURPOSES

Numerous indicators have been discussed as predictive markers for the incidence of chronic allograft dysfunction (CLAD) after lung transplantation (LTX). The aim of this study was to evaluate whether or not the preoperative prognostic nutrition index (PNI) correlated with the development of CLAD.

METHOD

This study is a single-center and retrospective cohort study. Forty-six patients underwent cadaveric lung transplantation between 2000 and 2016 at our institution. The primary endpoint of this study was the CLAD-free survival of the patients.

RESULT

CLAD was diagnosed in 11 patients (23%) during the follow-up period. Potential risk factors included recipient factors, donor factors, number of HLA mismatches, operation-related factors, and preoperative blood test results, including the preoperative PNI. The patients with a higher PNI showed a longer CLAD-free survival after LTX than those with lower values according to univariate and multivariate analyses (p = 0.01, 0.04, respectively). The 5-year CLAD-free survival rates in the higher-PNI patients and lower-PNI patients were 94% and 62%, respectively.

CONCLUSION

We found that a lower preoperative PNI of the recipient was significantly associated with a higher incidence rate of CLAD. The preoperative PNI may, therefore, be useful as a predictor of the development of CLAD.