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Impact of Prognostic Nutritional Index on Outcomes in Patients with Mycobacterium Avium Complex Pulmonary Disease

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Journal PLoS One
Date 2020 May 7
PMID 32374770
Citations 10
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Abstract

Onodera's prognostic nutritional index (PNI) is useful in predicting prognosis of various diseases. But the usefulness of PNI in non-surgical patients has not been sufficiently proven yet. In patients with mycobacterium avium complex pulmonary disease (MAC-PD), malnutrition is an important factor that affects the quality of life and morbidity. Here, we aimed to evaluate whether PNI is related with clinical outcomes in MAC-PD patients. We examined 663 patients diagnosed with MAC-PD between May 2005 and November 2017. PNI score was calculated at the time of diagnosis and treatment initiation, and patients were divided into malnutrition and non-malnutrition groups according to a cut-off PNI score of 45. As the recommended duration of treatment for MAC-PD is 12 months following sputum conversion, treatment duration less than 12 months was defined as treatment intolerance. Survivals were compared with the log-rank test. Multivariate logistic regression and multivariate Cox proportional hazards models were used to estimate the odds ratio (OR) and hazards ratio (HR) for treatment intolerance and mortality, respectively. Of the 306 patients that received treatment, 193 received treatment longer than 12 months. In the multivariable logistic regression model, malnutrition at the time of treatment initiation was related with treatment intolerance (OR: 2.559, 95% confidence interval [CI]: 1.414-4.634, P = 0.002). Patients in the malnutrition group at the time of diagnosis exhibited lower survival (P<0.001) and malnutrition at the time of diagnosis was a significant risk for all-cause mortality (HR: 2.755, 95% CI: 1.610-4.475, P<0.001). Malnutrition, as defined by PNI, is an independent predictor for treatment intolerance and all-cause mortality in patients with MAC-PD.

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References
1.
Min J, Park J, Lee Y, Kim S, Park J, Cho Y . Determinants of recurrence after successful treatment of Mycobacterium avium complex lung disease. Int J Tuberc Lung Dis. 2015; 19(10):1239-45. DOI: 10.5588/ijtld.14.0139. View

2.
Pinato D, North B, Sharma R . A novel, externally validated inflammation-based prognostic algorithm in hepatocellular carcinoma: the prognostic nutritional index (PNI). Br J Cancer. 2012; 106(8):1439-45. PMC: 3326674. DOI: 10.1038/bjc.2012.92. View

3.
Torrado E, Robinson R, Cooper A . Cellular response to mycobacteria: balancing protection and pathology. Trends Immunol. 2011; 32(2):66-72. PMC: 3039081. DOI: 10.1016/j.it.2010.12.001. View

4.
Huppert F, Solomou W, OConnor S, Morgan K, Sussams P, Brayne C . Aging and lymphocyte subpopulations: whole-blood analysis of immune markers in a large population sample of healthy elderly individuals. Exp Gerontol. 1998; 33(6):593-600. DOI: 10.1016/s0531-5565(98)00033-3. View

5.
Bossi P . Prognostic Nutritional Index: an easy nutritional screening for patients with head and neck cancer?. ESMO Open. 2018; 3(6):e000449. PMC: 6212675. DOI: 10.1136/esmoopen-2018-000449. View