Pre-operative serum inflammation-based scores in patients with pituitary adenomas

Objective Full blood count (FBC) and serum inflammation-based scores reflect systemic inflammation and predict outcomes in cancer, but little is known in pituitary adenomas (PAs). We aimed to characterise FBC and inflammation-based scores in PA patients and investigate their usefulness in predicting...

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Veröffentlicht in:Pituitary 2021-06, Vol.24 (3), p.334-350
Hauptverfasser: Marques, Pedro, de Vries, Friso, Dekkers, Olaf M., van Furth, Wouter R., Korbonits, Márta, Biermasz, Nienke R., Pereira, Alberto M.
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container_end_page 350
container_issue 3
container_start_page 334
container_title Pituitary
container_volume 24
creator Marques, Pedro
de Vries, Friso
Dekkers, Olaf M.
van Furth, Wouter R.
Korbonits, Márta
Biermasz, Nienke R.
Pereira, Alberto M.
description Objective Full blood count (FBC) and serum inflammation-based scores reflect systemic inflammation and predict outcomes in cancer, but little is known in pituitary adenomas (PAs). We aimed to characterise FBC and inflammation-based scores in PA patients and investigate their usefulness in predicting challenging disease course. Methods We studied 424 PA patients first operated at our centre with available pre-operative biochemical data. Patients with infection, malignancies, autoimmune or haematological conditions were excluded. Inflammation-based scores studied: Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), Lymphocyte-to-Monocyte Ratio (LMR), Systemic Immune-Inflammation Index (SII), Neutrophil-Platelet Score (NPS), Prognostic Nutrition Index (PNI), and Glasgow Prognostic Score (GPS). Results Cushing’s disease patients had more platelets, leucocytes, neutrophils and monocytes, and higher NLR, NPS and SII. Serum inflammation-based scores didn’t differ among non-Cushing PA subtypes. The glucocorticoid excess severity influenced leucocyte, eosinophil, basophil and platelet counts, and GPS in Cushing’s disease. Patients with functioning non-Cushing PAs with suprasellar extension, cavernous sinus invasion and hypopituitarism had GPS ≥ 1, while NPS ≥ 1 was associated with suprasellar extension. More invasive and difficult to treat corticotrophinomas were associated with fewer platelets pre-operatively (
doi_str_mv 10.1007/s11102-020-01112-5
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We aimed to characterise FBC and inflammation-based scores in PA patients and investigate their usefulness in predicting challenging disease course. Methods We studied 424 PA patients first operated at our centre with available pre-operative biochemical data. Patients with infection, malignancies, autoimmune or haematological conditions were excluded. Inflammation-based scores studied: Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), Lymphocyte-to-Monocyte Ratio (LMR), Systemic Immune-Inflammation Index (SII), Neutrophil-Platelet Score (NPS), Prognostic Nutrition Index (PNI), and Glasgow Prognostic Score (GPS). Results Cushing’s disease patients had more platelets, leucocytes, neutrophils and monocytes, and higher NLR, NPS and SII. Serum inflammation-based scores didn’t differ among non-Cushing PA subtypes. The glucocorticoid excess severity influenced leucocyte, eosinophil, basophil and platelet counts, and GPS in Cushing’s disease. Patients with functioning non-Cushing PAs with suprasellar extension, cavernous sinus invasion and hypopituitarism had GPS ≥ 1, while NPS ≥ 1 was associated with suprasellar extension. More invasive and difficult to treat corticotrophinomas were associated with fewer platelets pre-operatively (&lt; 299.5 × 10 9 /L predicting multimodal treatment). Non-functioning PA patients who suffered apoplexy had more leucocytes, neutrophils and monocytes, higher GPS ≥ 1 and fewer platelets; re-operated cases had fewer lymphocytes, higher NLR and PLR. Conclusions Serum inflammation-based scores may predict invasive/refractory PAs: GPS and PNI in non-functioning and functioning non-Cushing PAs; NPS in functioning non-Cushing PAs; NLR and PLR in non-functioning PAs. Platelets &lt; 299.5 × 10 9 /L predict multimodal treatment in Cushing’s disease. 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We aimed to characterise FBC and inflammation-based scores in PA patients and investigate their usefulness in predicting challenging disease course. Methods We studied 424 PA patients first operated at our centre with available pre-operative biochemical data. Patients with infection, malignancies, autoimmune or haematological conditions were excluded. Inflammation-based scores studied: Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), Lymphocyte-to-Monocyte Ratio (LMR), Systemic Immune-Inflammation Index (SII), Neutrophil-Platelet Score (NPS), Prognostic Nutrition Index (PNI), and Glasgow Prognostic Score (GPS). Results Cushing’s disease patients had more platelets, leucocytes, neutrophils and monocytes, and higher NLR, NPS and SII. Serum inflammation-based scores didn’t differ among non-Cushing PA subtypes. The glucocorticoid excess severity influenced leucocyte, eosinophil, basophil and platelet counts, and GPS in Cushing’s disease. Patients with functioning non-Cushing PAs with suprasellar extension, cavernous sinus invasion and hypopituitarism had GPS ≥ 1, while NPS ≥ 1 was associated with suprasellar extension. More invasive and difficult to treat corticotrophinomas were associated with fewer platelets pre-operatively (&lt; 299.5 × 10 9 /L predicting multimodal treatment). Non-functioning PA patients who suffered apoplexy had more leucocytes, neutrophils and monocytes, higher GPS ≥ 1 and fewer platelets; re-operated cases had fewer lymphocytes, higher NLR and PLR. Conclusions Serum inflammation-based scores may predict invasive/refractory PAs: GPS and PNI in non-functioning and functioning non-Cushing PAs; NPS in functioning non-Cushing PAs; NLR and PLR in non-functioning PAs. Platelets &lt; 299.5 × 10 9 /L predict multimodal treatment in Cushing’s disease. 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We aimed to characterise FBC and inflammation-based scores in PA patients and investigate their usefulness in predicting challenging disease course. Methods We studied 424 PA patients first operated at our centre with available pre-operative biochemical data. Patients with infection, malignancies, autoimmune or haematological conditions were excluded. Inflammation-based scores studied: Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), Lymphocyte-to-Monocyte Ratio (LMR), Systemic Immune-Inflammation Index (SII), Neutrophil-Platelet Score (NPS), Prognostic Nutrition Index (PNI), and Glasgow Prognostic Score (GPS). Results Cushing’s disease patients had more platelets, leucocytes, neutrophils and monocytes, and higher NLR, NPS and SII. Serum inflammation-based scores didn’t differ among non-Cushing PA subtypes. The glucocorticoid excess severity influenced leucocyte, eosinophil, basophil and platelet counts, and GPS in Cushing’s disease. Patients with functioning non-Cushing PAs with suprasellar extension, cavernous sinus invasion and hypopituitarism had GPS ≥ 1, while NPS ≥ 1 was associated with suprasellar extension. More invasive and difficult to treat corticotrophinomas were associated with fewer platelets pre-operatively (&lt; 299.5 × 10 9 /L predicting multimodal treatment). Non-functioning PA patients who suffered apoplexy had more leucocytes, neutrophils and monocytes, higher GPS ≥ 1 and fewer platelets; re-operated cases had fewer lymphocytes, higher NLR and PLR. Conclusions Serum inflammation-based scores may predict invasive/refractory PAs: GPS and PNI in non-functioning and functioning non-Cushing PAs; NPS in functioning non-Cushing PAs; NLR and PLR in non-functioning PAs. Platelets &lt; 299.5 × 10 9 /L predict multimodal treatment in Cushing’s disease. 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subjects Adrenocorticotropic hormone
Cushing syndrome
Cushing's disease
Endocrinology
Glucocorticoids
Human Physiology
Hypopituitarism
Inflammation
Invasiveness
Leukocytes (eosinophilic)
Leukocytes (neutrophilic)
Lymphocytes
Medicine
Medicine & Public Health
Monocytes
Nervous system diseases
Neutrophils
Pituitary
Platelets
Tumors
title Pre-operative serum inflammation-based scores in patients with pituitary adenomas
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