Background: Serum chromogranin A (CgA) is routinely used as a biomarker in patients with neuroendocrine neoplasms (NENs). Several conditions and comorbidities may be associated with falsely elevated CgA, often leading to extensive diagnostic evaluation, which may be costly and harmful. The aim of this study was to analyze the effectiveness of the acute octreotide suppression test (AOST) in differentiating falsely elevated serum CgA.
Methods: Our prospective study enrolled 45 patients from two different patient cohorts: (1) 29 patients with suspicion or presence of NENs (extensive workup and subsequent biopsy confirmed 16 NENs); (2) 16 consecutive patients admitted via the Emergency Department without NENs (non-NENs). AOST was performed after an overnight fast. Baseline CgA was measured, after which 0.25 mg of octreotide was administered subcutaneously. CgA was measured 3 and 6 h after administration.
Results: Baseline CgA levels were similar in NENs and non-NENs. At the end of the AOST, CgA decreased by a median of 83.3% (41.0-127.4) in non-NENs and 13.8% (0.0-43.6) in NENs (p < 0.001). In patients with increased baseline CgA, a decrease in CgA at the 6th hour of < 51.3% had 90.0% sensitivity and 88.9% specificity in detecting NENs. In patients with normal baseline serum CgA, a decrease in CgA at the 3rd hour of < 17.6% had 83.3% sensitivity and 81.8% specificity in detecting patients with NENs. The diagnostic accuracy of the AOST in the entire study population was 86.7%.
Conclusions: AOST is a promising tool to increase the diagnostic accuracy of serum CgA.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1159/000492934 | DOI Listing |
Kidney Int Rep
January 2025
Australian Frailty Network, The University of Queensland, Brisbane, Australia.
Introduction: The GOAL trial, a cluster randomized controlled trial, investigated the effect of comprehensive geriatric assessment (CGA) on frail older people with chronic kidney disease (CKD). This paper describes the following: (i) participant baseline characteristics, and (ii) their relationship with CKD stage and frailty severity.
Methods: Sixteen kidney outpatient clinics (clusters) were randomly allocated 1:1 to CGA or usual care.
Cancers (Basel)
November 2024
Endocrinology, Abdominal Center, Helsinki University Hospital and University of Helsinki, ENDO-ERN (European Reference Network on Rare Endocrine Conditions), 00280 Helsinki, Finland.
Small intestinal neuroendocrine tumors (SI-NETs) are characterized by carcinoid syndrome and carcinoid heart disease (CHD). The aim of the present study was to identify early risk markers for carcinoid heart disease and survival in a prospective median-term follow-up setting. We measured 5-HIAA and cumulative 5-HIAA exposure (Cum-5-HIAA) based on repeated measurements, proBNP, vascular function, hepatic tumor load, and transthoracic echocardiography (TTE) at baseline and during the median 5-year follow-up.
View Article and Find Full Text PDFInt J Mol Sci
November 2024
Laboratory Medicine Unit, Istituto Nazionale Tumori-IRCCS-Fondazione "G. Pascale", 80131 Naples, Italy.
The management of neuroendocrine neoplasms (NENs) involves the measurement of serum chromogranin A (s-CGA), serum neuro-specific enolase (s-NSE), and urinary 5-hydroxindolacetic acid (5-HIAA). Urinary para-hydroxyphenylacetic acid (u-pHPAA), a metabolite of tyrosine, has been proposed as a potential biomarker for these diseases. This study aims to evaluate the effectiveness of u-pHPAA and tyrosine as biomarkers.
View Article and Find Full Text PDFTransl Lung Cancer Res
September 2024
Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Arch Gerontol Geriatr
February 2025
School of Nursing, Nanjing Medical University, Nanjing, Jiangsu 211166, PR China. Electronic address:
Background: The accurate prediction of Alzheimer's disease (AD) is crucial for the efficient management of its progression. The objective of this research was to construct a new risk predictive model utilizing novel plasma protein biomarkers for predicting AD incidence in the future and analyze their potential biological correlation with AD incidence.
Methods: A cohort of 440 participants aged 60 years and older from the Alzheimer's Disease Neuroimaging Initiative (ADNI) longitudinal cohort was utilized.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!