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Agnello L, Buscemi S, Di Buono G, Vidali M, Lo Sasso B, Agrusa A, Ciaccio M. Drainage fluid LDH and neutrophil to lymphocyte ratio as biomarkers for early detecting anastomotic leakage in patients undergoing colorectal surgery. Clin Chem Lab Med 2024; 62:967-978. [PMID: 37988156 DOI: 10.1515/cclm-2023-1164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 10/27/2023] [Indexed: 11/22/2023]
Abstract
OBJECTIVES In this study, we investigated the role of several circulating and drainage fluid biomarkers for detecting postoperative complications (PCs) and anastomotic leakage (AL) in patients undergoing colorectal surgery. METHODS All consecutive patients undergoing colorectal surgery between June 2018 and April 2020 were prospectively considered. On postoperative days (POD) 1, 3, and 5, we measured lactate dehydrogenase (LDH) in drainage fluid, C-reactive protein (CRP) in serum and drainage fluid, and neutrophil to lymphocyte ratio (NLR). RESULTS We enrolled 187 patients. POD1 patients with AL had higher serum CRP levels, while on POD3 and on POD5 higher NLR and serum CRP. LDH and CRP in drainage fluid were also significantly higher at both time points. The area under the curves (AUCs) of serum and drainage fluid CRP were 0.752 (0.629-0.875) and 0.752 (0.565-0.939), respectively. The best cut-off for serum and drainage fluid CRP was 185.23 and 76 mg/dL, respectively. The AUC of NLR on POD3 was 0.762 (0.662-0.882) with a sensitivity and specificity of 84 and 63 %, respectively, at a cut-off of 6,6. Finally, drainage fluid LDH showed the best diagnostic performance for AL, with an AUC, sensitivity, and specificity of 0.921 (0.849-0.993), 82 %, and 90 % at a cut-off of 2,186 U/L. Trends in serum parameters between patients with or without PCs or AL were also evaluated. Interestingly, we found that NLR decreased faster in patients without PCs than in patients with PCs and patients with AL. CONCLUSIONS Drainage fluid LDH and NLR could be promising biomarkers of PCs and AL.
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Affiliation(s)
- Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Salvatore Buscemi
- Department of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy
| | - Giuseppe Di Buono
- Department of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy
| | - Matteo Vidali
- Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico Milan, Italy
| | - Bruna Lo Sasso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, Palermo, Italy
- Department of Laboratory Medicine, AOUP "P. Giaccone", Palermo, Italy
| | - Antonino Agrusa
- Department of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, Palermo, Italy
- Department of Laboratory Medicine, AOUP "P. Giaccone", Palermo, Italy
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Vidali M, Giacchetti F, Sangiorgio A, Vantaggiato C, Rodari G, Orsenigo C, Di Modugno A, Napolitano F, Morniroli D, Colombo L, Profka E, Vizzari G, Mosca F, Ceriotti F, Mantovani G, Arosio M, Giannì ML, Giavoli C. Estimation of the reference values and decision limits for growth hormone in newborns using dried blood spots. Clin Chem Lab Med 2024; 62:939-945. [PMID: 37999718 DOI: 10.1515/cclm-2023-0972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Accepted: 11/10/2023] [Indexed: 11/25/2023]
Abstract
OBJECTIVES Severe deficiency of growth hormone (GHD) of the newborn is a rare but potentially life-threatening disease. GH measured during the first week of life, using dried blood spots (DBS), may offer several advantages. Aim of the study was to estimate the reference values for GH in newborns by a new analytical method using DBS. METHODS Using a new developed analytical method, GH was estimated from DBS of 1,036 healthy newborns attending the Neonatology Unit of Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico of Milan in the period July-October 2021. Reference values for GH deficiency were estimated by the Harrell-Davis bootstrap method, with 90 %CI calculated by the bias-corrected and accelerated bootstrap method. RESULTS All GH measurements required 33 analytical sessions (8 months) with a CV% for calibration curve slopes equal to 6.9 %. Intermediate precision evaluated by measurement of low (3 μg/L) and high (10 μg/L) quality controls was, respectively, 14 and 6.5 %. GH reference values, estimated at percentiles 1.0st, 2.5th and 5.0th, and their 90 %CI, were, respectively, 4.5 μg/L (90 %CI 3.8-5.1), 5.9 μg/L (90 %CI 5.4-6.4) and 7.0 μg/L (90 %CI 6.7-7.3). GH levels were not associated with sex, standard deviation scores, birth weight, gestational age, type of delivery or mother's variables (age, smoking habit, gestational diabetes). CONCLUSIONS Validation data suggest that this method can be used to measured GH in newborns using DBS. The reference values estimated in this study are in accordance with previous published works using ELISA and may help confirming the clinical suspicion of neonatal GHD.
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Affiliation(s)
- Matteo Vidali
- Clinical Pathology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Federico Giacchetti
- Endocrinology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | | | - Chiara Vantaggiato
- Clinical Pathology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giulia Rodari
- Endocrinology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Chiara Orsenigo
- Clinical Pathology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Adriana Di Modugno
- Clinical Pathology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Filomena Napolitano
- Clinical Pathology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Daniela Morniroli
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Lorenzo Colombo
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, NICU, Milan, Italy
| | - Eriselda Profka
- Endocrinology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giulia Vizzari
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, NICU, Milan, Italy
| | - Fabio Mosca
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, NICU, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Ferruccio Ceriotti
- Clinical Pathology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giovanna Mantovani
- Endocrinology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Maura Arosio
- Endocrinology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Maria L Giannì
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, NICU, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Claudia Giavoli
- Endocrinology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
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Gambino CM, Agnello L, Vidali M, Lo Sasso B, Mansueto P, Seidita A, Giuliano A, Scazzone C, Massa D, Masucci A, Tamburello M, Vassallo R, Ciaccio AM, Candore G, Carroccio A, Ciaccio M. The role of Killer immunoglobulin-like receptors (KIRs) in the genetic susceptibility to non-celiac wheat sensitivity (NCWS). Clin Chem Lab Med 2024; 0:cclm-2024-0034. [PMID: 38639193 DOI: 10.1515/cclm-2024-0034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 04/07/2024] [Indexed: 04/20/2024]
Abstract
OBJECTIVES Non-celiac wheat sensitivity (NCWS) is an emerging clinical condition characterized by gastrointestinal and extraintestinal symptoms following the ingestion of gluten-containing foods in patients without celiac disease (CD) or wheat allergy. Despite the great interest for NCWS, the genetic risk factors still need to be fully clarified. In this study, we first assessed the possible contribution of KIR genes and KIR haplotypes on the genetic predisposition to NCWS. METHODS Fifty patients with NCWS, 50 patients with CD, and 50 healthy controls (HC) were included in this study. KIR genes and KIR genotyping were investigated in all subjects by polymerase chain reaction with the sequence oligonucleotide probe (PCR-SSOP) method using Luminex technology. RESULTS We found a statistically different distribution of some KIR genes among NCWS, CD, and HC. Specifically, NCWS showed a decreased frequency of KIR2DL1, -2DL3, -2DL5, -2DS2, -2DS3, -2DS4, -2DS5, and -3DS1 genes, and an increased frequency of -3DL1 gene respect to both CD and HC. No difference was detected in the KIR haplotype expression. At the multivariate analysis, KIR2DL5, -2DS4, and -2DS5 were independent predictors of NCWS. CONCLUSIONS Our findings suggest a role of KIR genes in NCWS susceptibility, with KIR2DL5, -2DS4, and -2DS5 having a protective effect. Further large-scale multicentric studies are required to validate these preliminary findings.
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Affiliation(s)
- Caterina Maria Gambino
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, 18998 Institute of Clinical Biochemistry, Clinical Molecular Medicine, and Clinical Laboratory Medicine, University of Palermo , Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, 18998 Institute of Clinical Biochemistry, Clinical Molecular Medicine, and Clinical Laboratory Medicine, University of Palermo , Palermo, Italy
| | - Matteo Vidali
- Clinical Pathology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Bruna Lo Sasso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, 18998 Institute of Clinical Biochemistry, Clinical Molecular Medicine, and Clinical Laboratory Medicine, University of Palermo , Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Pasquale Mansueto
- Department of Health Promotion Sciences, Maternal and Infant Care, Internal Medicine, and Medical Specialties (PROMISE), Unit of Internal Medicine, 18998 University of Palermo , Palermo, Italy
| | - Aurelio Seidita
- Unit of Internal Medicine, "V. Cervello" Hospital, Ospedali Riuniti "Villa Sofia-Cervello", Palermo, Italy
| | - Alessandra Giuliano
- Unit of Internal Medicine, "V. Cervello" Hospital, Ospedali Riuniti "Villa Sofia-Cervello", Palermo, Italy
| | - Concetta Scazzone
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, 18998 Institute of Clinical Biochemistry, Clinical Molecular Medicine, and Clinical Laboratory Medicine, University of Palermo , Palermo, Italy
| | - Davide Massa
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, 18998 Institute of Clinical Biochemistry, Clinical Molecular Medicine, and Clinical Laboratory Medicine, University of Palermo , Palermo, Italy
| | - Anna Masucci
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, 18998 Institute of Clinical Biochemistry, Clinical Molecular Medicine, and Clinical Laboratory Medicine, University of Palermo , Palermo, Italy
| | - Martina Tamburello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, 18998 Institute of Clinical Biochemistry, Clinical Molecular Medicine, and Clinical Laboratory Medicine, University of Palermo , Palermo, Italy
| | - Roberta Vassallo
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, 18998 Institute of Clinical Biochemistry, Clinical Molecular Medicine, and Clinical Laboratory Medicine, University of Palermo , Palermo, Italy
| | - Anna Maria Ciaccio
- Department of Health Promotion, Maternal and Child Health, Internal Medicine, and Specialty Excellence "G. D'Alessandro" (PROMISE), Internal Medicine and Stroke Care Ward, University of Palermo, Palermo, Italy
| | - Giuseppina Candore
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, 18998 Laboratory of Immunopathology and Immunosenescence, University of Palermo , Palermo, Italy
| | - Antonio Carroccio
- Department of Health Promotion Sciences, Maternal and Infant Care, Internal Medicine, and Medical Specialties (PROMISE), Unit of Internal Medicine, 18998 University of Palermo , Palermo, Italy
- Unit of Internal Medicine, "V. Cervello" Hospital, Ospedali Riuniti "Villa Sofia-Cervello", Palermo, Italy
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, 18998 Institute of Clinical Biochemistry, Clinical Molecular Medicine, and Clinical Laboratory Medicine, University of Palermo , Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
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Agnello L, Vidali M, Salvaggio G, Agnello F, Lo Sasso B, Gambino CM, Ciaccio M. Prostate Health Index (PHI) as a triage tool for reducing unnecessary magnetic resonance imaging (MRI) in patients at risk of prostate cancer. Clin Biochem 2024; 127-128:110759. [PMID: 38583655 DOI: 10.1016/j.clinbiochem.2024.110759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 03/27/2024] [Accepted: 03/28/2024] [Indexed: 04/09/2024]
Abstract
INTRODUCTION The aim of this study is to assess the usefulness of the Prostate Health Index (PHI) as a triage tool for selecting patients at risk of prostate cancer (PCa) who should undergo multiparametric Magnetic Resonance Imaging (mpMRI). MATERIAL AND METHODS We enrolled 204 patients with suspected PCa. For each patient, a blood sample was collected before mpMRI to measure PHI. Findings on mpMRI were assessed according to the Prostate Imaging Reporting & Data System version 2.0 (PI-RADSv2) category scale. RESULTS According to PI-RADSv2, patients were classified into two groups: PI-RADS < 3 (48 %) and ≥ 3 (52 %). PHI showed the best performance for predicting PI-RADS ≥ 3 [AUC: 0,747 (0,679-0,815), 0,680(0,607-0,754), and 0,613 (0,535-0,690) for PHI, PSA ratio, and total PSA, respectively]. The best PHI cut-off was 30, with a sensitivity of 90%. At the univariate logistic regression, total PSA (p = 0.007), PSA ratio (p = 0.001), [-2]proPSA (p = 0.019) and PHI (p < 0.001) were associated with PI-RADS ≥ 3; however, at the multivariate analysis, only PHI (p < 0.001) was found to be an independent predictor of PI-RADS ≥ 3. CONCLUSION PHI could represent a reliable noninvasive tool for selecting patients to undergo mpMRI.
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Affiliation(s)
- Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine, and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy
| | - Matteo Vidali
- Foundation IRCCS Ca' Grande Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Giuseppe Salvaggio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Unit of Radiology, University of Palermo, 90127 Palermo, Italy
| | - Francesco Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Unit of Radiology, University of Palermo, 90127 Palermo, Italy
| | - Bruna Lo Sasso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine, and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127 Palermo, Italy
| | - Caterina Maria Gambino
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine, and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127 Palermo, Italy
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine, and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127 Palermo, Italy.
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Bianco C, Pelusi S, Margarita S, Tavaglione F, Jamialahmadi O, Malvestiti F, Periti G, Rondena J, Tomasi M, Carpani R, Ronzoni L, Vidali M, Ceriotti F, Fraquelli M, Vespasiani‐Gentilucci U, Romeo S, Prati D, Valenti L. Predictors of controlled attenuation parameter in metabolic dysfunction. United European Gastroenterol J 2024; 12:364-373. [PMID: 38141028 PMCID: PMC11017762 DOI: 10.1002/ueg2.12513] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 10/26/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND & AIMS Hepatic fat content can be non-invasively estimated by controlled attenuation parameter (CAP) during transient elastography. The aim of this study was to examine the determinants and predictors of CAP values in individuals with metabolic dysfunction. METHODS We enrolled 1230 consecutive apparently healthy individuals (Liver-Bible-2022 cohort) with ≥3 metabolic dysfunction features. CAP was measured by Fibroscan. CAP determinants and predictors were identified using backward stepwise analysis and introduced in generalized linear models. RESULTS Participants were predominantly males (82.9%), mean age was 53.8 ± 6.4 years, 600 (48.8%) had steatosis (CAP ≥ 275 dB/m), and 27 had liver stiffness measurement (LSM) ≥ 8 kPa. CAP values correlated with LSM (p < 10-22). In multivariable analysis, fasting insulin and abdominal circumference (AC) were the main determinants of CAP (p < 10-6), together with body mass index (BMI; p < 10-4), age, diabetes, triglycerides, ferritin, and lower HDL and thyroid stimulating hormone (TSH; p < 0.05 for all). In a subset of 592 participants with thyroid hormone measurement, we found an association between higher free triiodothyronine levels, correlating with lower TSH, and CAP values, independent of TSH and of levothyroxine treatment (p = 0.0025). A clinical CAP score based on age, BMI, AC, HbA1c, ALT, and HDL predicted CAP ≥ 275 dB/m with moderate accuracy (AUROC = 0.73), which was better than that of the Fatty Liver Index and of ALT (AUROC = 0.70/0.61, respectively) and validated it in multiple cohorts. CONCLUSION Abdominal adiposity and insulin resistance severity were the main determinants of CAP in individuals with metabolic dysfunction and may improve steatotic liver disease risk stratification. CAP values were modulated by the hypophysis-thyroid axis.
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Affiliation(s)
- Cristiana Bianco
- Precision Medicine LabBiological Resource Center and Department of Transfusion MedicineFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Serena Pelusi
- Precision Medicine LabBiological Resource Center and Department of Transfusion MedicineFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Sara Margarita
- Precision Medicine LabBiological Resource Center and Department of Transfusion MedicineFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Federica Tavaglione
- Clinical Medicine and Hepatology UnitDepartment of Internal Medicine and GeriatricsFondazione Policlinico Campus Bio‐MedicoRomeItaly
- Department of Medicine and SurgeryUniversità Campus Bio‐Medico di RomaRomeItaly
| | - Oveis Jamialahmadi
- Department of Molecular and Clinical MedicineInstitute of MedicineSahlgrenska AcademyWallenberg LaboratoryUniversity of GothenburgGothenburgSweden
| | - Francesco Malvestiti
- Department of Pathophysiology and TransplantationUniversità degli Studi di MilanoMilanItaly
| | - Giulia Periti
- Precision Medicine LabBiological Resource Center and Department of Transfusion MedicineFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Jessica Rondena
- Precision Medicine LabBiological Resource Center and Department of Transfusion MedicineFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Melissa Tomasi
- Precision Medicine LabBiological Resource Center and Department of Transfusion MedicineFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Rossana Carpani
- Precision Medicine LabBiological Resource Center and Department of Transfusion MedicineFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Luisa Ronzoni
- Precision Medicine LabBiological Resource Center and Department of Transfusion MedicineFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Matteo Vidali
- Clinical Chemistry Unit and Laboratory MedicineFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Ferruccio Ceriotti
- Clinical Chemistry Unit and Laboratory MedicineFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Mirella Fraquelli
- Gastroenterology and Endoscopy UnitFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Umberto Vespasiani‐Gentilucci
- Clinical Medicine and Hepatology UnitDepartment of Internal Medicine and GeriatricsFondazione Policlinico Campus Bio‐MedicoRomeItaly
- Department of Medicine and SurgeryUniversità Campus Bio‐Medico di RomaRomeItaly
| | - Stefano Romeo
- Department of Molecular and Clinical MedicineInstitute of MedicineSahlgrenska AcademyWallenberg LaboratoryUniversity of GothenburgGothenburgSweden
- Clinical Nutrition UnitDepartment of Medical and Surgical SciencesUniversity Magna GraeciaCatanzaroItaly
- Cardiology DepartmentSahlgrenska University HospitalGothenburgSweden
| | - Daniele Prati
- Precision Medicine LabBiological Resource Center and Department of Transfusion MedicineFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Luca Valenti
- Precision Medicine LabBiological Resource Center and Department of Transfusion MedicineFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
- Department of Pathophysiology and TransplantationUniversità degli Studi di MilanoMilanItaly
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Agnello L, Vidali M, Ciaccio AM, Lo Sasso B, Iacona A, Biundo G, Scazzone C, Gambino CM, Ciaccio M. A machine learning strategy to mitigate the inappropriateness of procalcitonin request in clinical practice. Heliyon 2024; 10:e26556. [PMID: 38444484 PMCID: PMC10912224 DOI: 10.1016/j.heliyon.2024.e26556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 02/09/2024] [Accepted: 02/15/2024] [Indexed: 03/07/2024] Open
Abstract
Aim The aim of this study was to develop machine learning (ML) models to mitigate the inappropriate request of Procalcitonin (PCT) in clinical wards. Material and methods We built six different ML models based on both demographical data, i.e., sex and age, and laboratory parameters, i.e., cell blood count (CBC) parameters, inclusive of monocyte distribution width (MDW), and C-reactive protein (CRP). The dataset included 1667 PCT measurements of different patients. Based on a PCT cut-off of 0.50 ng/mL, we found 1090 negative (65.4%) and 577 positive (34.6%) results. We performed a 70:15:15 train:validation:test splitting based on the outcome. Results Random Forest, Support Vector Machine and eXtreme Gradient Boosting showed optimal performances for predicting PCT positivity, with an area under the curve ranging from 0.88 to 0.89. Conclusions The ML models developed could represent a useful tool to predict PCT positivity, avoiding unusefulness PCT requests. ML models are based on laboratory tests commonly ordered together with PCT but have the great advantage to be easy to measure and low-cost.
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Affiliation(s)
- Luisa Agnello
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127, Palermo, Italy
| | - Matteo Vidali
- Foundation IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122, Milan, Italy
| | - Anna Maria Ciaccio
- Internal Medicine and Medical Specialties “G. D'Alessandro”, Department of Health Promotion, Maternal and Infant Care, University of Palermo, 90127, Palermo, Italy
| | - Bruna Lo Sasso
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127, Palermo, Italy
- Department of Laboratory Medicine, AOUP “P. Giaccone”, Palermo, Italy
| | - Alessandro Iacona
- Department of Laboratory Medicine, AOUP “P. Giaccone”, Palermo, Italy
| | - Giuseppe Biundo
- Department of Laboratory Medicine, AOUP “P. Giaccone”, Palermo, Italy
| | - Concetta Scazzone
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127, Palermo, Italy
| | - Caterina Maria Gambino
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127, Palermo, Italy
- Department of Laboratory Medicine, AOUP “P. Giaccone”, Palermo, Italy
| | - Marcello Ciaccio
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127, Palermo, Italy
- Department of Laboratory Medicine, AOUP “P. Giaccone”, Palermo, Italy
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7
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Sacchetti S, Vidali M, Esposito T, Zorzi S, Burgener A, Ciccarello L, Cammarota G, Zanotti V, Giacomini L, Bellan M, Pirisi M, Lopez RS, Dianzani U, Vaschetto R, Rolla R. The Role of New Morphological Parameters Provided by the BC 6800 Plus Analyzer in the Early Diagnosis of Sepsis. Diagnostics (Basel) 2024; 14:340. [PMID: 38337856 PMCID: PMC10855753 DOI: 10.3390/diagnostics14030340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 01/31/2024] [Accepted: 02/02/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND Late diagnosis of sepsis is associated with adverse consequences and high mortality rate. The aim of this study was to evaluate the diagnostic value of hematologic research parameters, that reflect the cell morphology of blood cells, available on the BC 6800 plus automated analyzer (Mindray) for the early detection of sepsis. MATERIALS AND METHODS A complete blood count (CBC) was performed by Mindray BC 6800 Plus Analyzer in 327 patients (223 with a confirmed diagnosis of sepsis following sepsis-3 criteria, 104 without sepsis), admitted at the Intensive Care Unit of the Novara's Hospital (Italy) and in 56 patients with localized infection. RESULTS In univariate logistic regression, age, Hb, RDW, MO#, NMR, NeuX, NeuY, NeuZ, LymX, MonX, MonY, MonZ were associated with sepsis (p < 0.005). In multivariate analysis, only RDW, NeuX, NeuY, NeuZ, MonX and MonZ were found to be independent predictors of sepsis (p < 0.005). Morphological research parameters are confirmed to be predictors of sepsis even when analyzing the group with localized infection. CONCLUSIONS In addition to already established biomarkers and basic CBC parameters, new morphological cell parameters can be a valuable aid in the early diagnosis of sepsis at no additional cost.
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Affiliation(s)
- Sara Sacchetti
- Clinical Chemistry Laboratory, Department of Health Sciences, Università del Piemonte Orientale, Maggiore della Carità University Hospital, 28100 Novara, Italy; (S.S.); (V.Z.); (L.G.); (U.D.); (R.R.)
| | - Matteo Vidali
- Clinical Pathology Unit, Foundation IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Teresa Esposito
- Unit of Anaesthesia and Intensive Care, Department of Translational Medicine, Università del Piemonte Orientale, Maggiore della Carità University Hospital, 28100 Novara, Italy; (T.E.); (S.Z.); (A.B.); (L.C.); (G.C.); (R.V.)
| | - Stefano Zorzi
- Unit of Anaesthesia and Intensive Care, Department of Translational Medicine, Università del Piemonte Orientale, Maggiore della Carità University Hospital, 28100 Novara, Italy; (T.E.); (S.Z.); (A.B.); (L.C.); (G.C.); (R.V.)
| | - Alessia Burgener
- Unit of Anaesthesia and Intensive Care, Department of Translational Medicine, Università del Piemonte Orientale, Maggiore della Carità University Hospital, 28100 Novara, Italy; (T.E.); (S.Z.); (A.B.); (L.C.); (G.C.); (R.V.)
| | - Lorenzo Ciccarello
- Unit of Anaesthesia and Intensive Care, Department of Translational Medicine, Università del Piemonte Orientale, Maggiore della Carità University Hospital, 28100 Novara, Italy; (T.E.); (S.Z.); (A.B.); (L.C.); (G.C.); (R.V.)
| | - Gianmaria Cammarota
- Unit of Anaesthesia and Intensive Care, Department of Translational Medicine, Università del Piemonte Orientale, Maggiore della Carità University Hospital, 28100 Novara, Italy; (T.E.); (S.Z.); (A.B.); (L.C.); (G.C.); (R.V.)
| | - Valentina Zanotti
- Clinical Chemistry Laboratory, Department of Health Sciences, Università del Piemonte Orientale, Maggiore della Carità University Hospital, 28100 Novara, Italy; (S.S.); (V.Z.); (L.G.); (U.D.); (R.R.)
| | - Luca Giacomini
- Clinical Chemistry Laboratory, Department of Health Sciences, Università del Piemonte Orientale, Maggiore della Carità University Hospital, 28100 Novara, Italy; (S.S.); (V.Z.); (L.G.); (U.D.); (R.R.)
| | - Mattia Bellan
- Department of Translational Medicine, Division of Internal Medicine, Università del Piemonte Orientale, “Maggiore della Carità” University Hospital, 28100 Novara, Italy; (M.B.); (M.P.)
| | - Mario Pirisi
- Department of Translational Medicine, Division of Internal Medicine, Università del Piemonte Orientale, “Maggiore della Carità” University Hospital, 28100 Novara, Italy; (M.B.); (M.P.)
| | - Ramon Simon Lopez
- Medical Xpert Systems SA, Brunnenmattstrasse 6, 6317 Oberwil bei Zug, Switzerland;
| | - Umberto Dianzani
- Clinical Chemistry Laboratory, Department of Health Sciences, Università del Piemonte Orientale, Maggiore della Carità University Hospital, 28100 Novara, Italy; (S.S.); (V.Z.); (L.G.); (U.D.); (R.R.)
| | - Rosanna Vaschetto
- Unit of Anaesthesia and Intensive Care, Department of Translational Medicine, Università del Piemonte Orientale, Maggiore della Carità University Hospital, 28100 Novara, Italy; (T.E.); (S.Z.); (A.B.); (L.C.); (G.C.); (R.V.)
| | - Roberta Rolla
- Clinical Chemistry Laboratory, Department of Health Sciences, Università del Piemonte Orientale, Maggiore della Carità University Hospital, 28100 Novara, Italy; (S.S.); (V.Z.); (L.G.); (U.D.); (R.R.)
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Di Deo P, Vantaggiato C, Di Modugno A, Licari D, Savina PF, Zagliani A, Viganò C, Grimaldi G, Frassanito A, Lettera T, De Corato P, Ammirabile M, Ferraris Fusarini C, De Liso F, Maregnani A, Silvani I, Taverriti TPS, Ceriotti F, Vidali M. Extensive analytical evaluation of the performances of the new DiaSys PCT assay and comparison with Elecsys B·R·A·H·M·S PCT test on Roche Cobas and B·R·A·H·M·S PCT-sensitive Kryptor. Clin Chem Lab Med 2024; 62:e44-e47. [PMID: 37531078 DOI: 10.1515/cclm-2023-0776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Accepted: 07/24/2023] [Indexed: 08/03/2023]
Affiliation(s)
- Priscilla Di Deo
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, SC Patologia Clinica, Milan, Italy
| | - Chiara Vantaggiato
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, SC Patologia Clinica, Milan, Italy
| | - Adriana Di Modugno
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, SC Patologia Clinica, Milan, Italy
| | - Debora Licari
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, SC Patologia Clinica, Milan, Italy
| | - Pier Francesco Savina
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, SC Patologia Clinica, Milan, Italy
| | - Arianna Zagliani
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, SC Patologia Clinica, Milan, Italy
| | - Cristina Viganò
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, SC Patologia Clinica, Milan, Italy
| | - Gabriella Grimaldi
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, SC Patologia Clinica, Milan, Italy
| | - Antonio Frassanito
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, SC Patologia Clinica, Milan, Italy
| | - Tommaso Lettera
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, SC Patologia Clinica, Milan, Italy
| | - Paola De Corato
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, SC Patologia Clinica, Milan, Italy
| | - Massimiliano Ammirabile
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, SC Patologia Clinica, Milan, Italy
| | | | - Federica De Liso
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, SC Patologia Clinica, Milan, Italy
| | - Alessio Maregnani
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, SC Patologia Clinica, Milan, Italy
| | - Iris Silvani
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, SC Patologia Clinica, Milan, Italy
| | | | - Ferruccio Ceriotti
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, SC Patologia Clinica, Milan, Italy
| | - Matteo Vidali
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, SC Patologia Clinica, Milan, Italy
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Agnello L, Vidali M, Padoan A, Lucis R, Mancini A, Guerranti R, Plebani M, Ciaccio M, Carobene A. Machine learning algorithms in sepsis. Clin Chim Acta 2024; 553:117738. [PMID: 38158005 DOI: 10.1016/j.cca.2023.117738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/20/2023] [Accepted: 12/20/2023] [Indexed: 01/03/2024]
Abstract
Sepsis remains a significant global health challenge due to its high mortality and morbidity, compounded by the difficulty of early detection given its variable clinical manifestations. The integration of machine learning (ML) into laboratory medicine for timely sepsis identification and outcome forecasting is an emerging field of interest. This comprehensive review assesses the current body of research on ML applications for sepsis within the realm of laboratory diagnostics, detailing both their strengths and shortcomings. An extensive literature search was performed by two independent investigators across PubMed and Scopus databases, employing the keywords "Sepsis," "Machine Learning," and "Laboratory" without publication date limitations, culminating in January 2023. Each selected study was meticulously evaluated for various aspects, including its design, intent (diagnostic or prognostic), clinical environment, demographics, sepsis criteria, data gathering period, and the scope and nature of features, in addition to the ML methodologies and their validation procedures. Out of 135 articles reviewed, 39 fulfilled the criteria for inclusion. Among these, the majority (30 studies) were focused on devising ML algorithms for diagnosis, fewer (8 studies) on prognosis, and one study addressed both aspects. The dissemination of these studies across an array of journals reflects the interdisciplinary engagement in the development of ML algorithms for sepsis. This analysis highlights the promising role of ML in the early diagnosis of sepsis while drawing attention to the need for uniformity in validating models and defining features, crucial steps for ensuring the reliability and practicality of ML in clinical setting.
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Affiliation(s)
- Luisa Agnello
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Matteo Vidali
- Clinical Pathology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Andrea Padoan
- Department of Medicine-DIMED, University of Padova, Padova, Italy; Laboratory Medicine Unit, University-Hospital of Padova, Padova, Italy; QI.LAB.MED., Spin-off of the University of Padova, Padova, Italy
| | - Riccardo Lucis
- Department of Medicine (DAME), University of Udine, 33100, Udine, Italy; Microbiology and Virology Unit, Department of Laboratory Medicine, Azienda Sanitaria Friuli Occidentale (ASFO), Santa Maria degli Angeli Hospital, 33170, Pordenone, Italy
| | - Alessio Mancini
- School of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy; Operative Unit of Clinical Pathology, AST2 Ancona, Senigallia, Italy
| | - Roberto Guerranti
- Department of Medical Biotechnologies, University of Siena, Siena, Italy; Clinical Pathology Unit, Innovation, Experimentation and Clinical and Translational Research Department, University Hospital of Siena, Siena, Italy
| | - Mario Plebani
- Department of Medicine-DIMED, University of Padova, Padova, Italy; Laboratory Medicine Unit, University-Hospital of Padova, Padova, Italy; QI.LAB.MED., Spin-off of the University of Padova, Padova, Italy; Clinical Biochemistry and Clinical Molecular Biology, School of Medicine, University of Padova, Padova, Italy
| | - Marcello Ciaccio
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy; Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy.
| | - Anna Carobene
- IRCCS San Raffaele Scientific Institute, Milan, Italy
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10
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Ferrari D, Trbos M, Vidali M, Locatelli M. Customized cutoff limits for the sediMAX-2 automated analyzer reduce the number of urine culture tests. Acta Biomed 2023; 94:e2023192. [PMID: 37850763 PMCID: PMC10644934 DOI: 10.23750/abm.v94i5.14951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 07/03/2023] [Indexed: 10/19/2023]
Abstract
BACKGROUND Urinary tract infections are highly prevalent in nosocomial and community settings. Their diagnosis, although costly and time-consuming, is crucial to avoid inappropriate treatments and/or clinical complications. In this context, automated analyzers have been developed and commercialized to screen and rule out negative urine samples. Adjustments of the manufacturers' suggested cutoff values might lead to substantial diagnostic and economic advantages. METHODS We retrospectively analyzed 776 urine samples from different individuals. 546 samples (training group) were used to optimize develop new cutoffs values. The remaining 230 samples (validation group) were used to validate the optimized cutoffs. All samples were subjected to urine culture, 17% resulted positive. Escherichia coli and Enterococcus faecalis were the two most frequently identified bacteria, 95 and 9 samples, respectively. RESULTS Two different cutoffs levels were obtained. Cutoff-A (bacteria>110 and/or white blood cells> 15 cell/µL), showed the same sensitivity of the manufacturers' suggested cutoff, yet leads to a large reduction of the samples to be cultured. Cutoff-B (bacteria>50 and/or white blood cells>20 cell/µL), showed an almost 100% sensitivity by subjecting only ~70% of the samples to urine culture. CONCLUSION Cutoff-A is a good compromise between sensitivity and specificity yet allowing economic advantages by reducing the number of urinary cultures. Cutoff-B relegates urinary tract infection misdiagnosis to a rare event without the need of culturing the entire batch of samples. We believe that clinical implementation of the proposed cutoffs will help other laboratories, using similar instrumentation, to reach their most convenient balance between sensitivity and economical needs.
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Affiliation(s)
| | | | - Matteo Vidali
- Clinical Pathology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
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11
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Vidali M, Paleari R, Ceriotti F, Bernardini S, Giambini I, Brugnoni D, Trainini L, Carru C, Porcu F, Carta M, Giavarina D, Ciaccio M, Lo Sasso B, Corso G, Paolillo C, Dorizzi R, Rosetti M, Fiorini M, Bombara M, Grosso M, Giuliano M, Locatelli M, Lucci A, Mencarelli F, Scattolo N, Strollo M, Mosca A. Analysis of annual distributions of hemoglobin A 2 values as a method to test for HbA 2 standardization. Clin Chim Acta 2023; 550:117564. [PMID: 37748747 DOI: 10.1016/j.cca.2023.117564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 09/20/2023] [Accepted: 09/21/2023] [Indexed: 09/27/2023]
Abstract
BACKGROUND AND AIMS The monitoring of yearly distributions of HbA2 measured has been indicated as a reliable indicator of worldwide standardization. MATERIALS AND METHODS Measurements/year of HbA2 have been collected over three consecutive years in 15 Italian laboratories each using the same analytical method over three years period. HbA2 distributions, cleaned of replicated measurements, were compared by the overlapping area of the raw probability density functions expressed by coefficient eta (η), and by comparing the reference intervals for the central part of each distribution estimated by the indirect method refineR using the R package "refineR". RESULTS According to the overlapping areas analysis the distributions/year of the data provided by 4 centers able to perform at least 1000 measurements/year were similar in 2 consecutive years. Moreover, the reference intervals provided by 2 centers using the same analytical methods in two separate locations over the three consecutive years, were very similar. The highest overlap (99.7 %) was observed in one center over two consecutive years. The overlapping areas were very high (93.6-95.7%) in 8 out of 9 inter-comparisons. CONCLUSION Despite the limitations of this study the yearly distribution of the HbA2 measured in various centers appears a reliable tool to test HbA2 standardization over different centers using different analytical methods.
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Affiliation(s)
- Matteo Vidali
- Clinical Pathology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Renata Paleari
- Dept. of Physiopathology and Transplantation, Università degli Studi di Milano, Milano, Italy
| | - Ferruccio Ceriotti
- Clinical Pathology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Sergio Bernardini
- Dept. of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Ilio Giambini
- Dept. of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Duilio Brugnoni
- Clinical Chemistry Central Laboratory, Diagnostic Department, Spedali Civili of Brescia, Brescia, Italy
| | - Laura Trainini
- Clinical Chemistry Central Laboratory, Diagnostic Department, Spedali Civili of Brescia, Brescia, Italy
| | - Ciriaco Carru
- Dept. of Biomedical Sciences, University of Sassari and Hospital University of Sassari (AOUSS), Sassari, Italy
| | - Filippo Porcu
- Laboratory of Clinical Pathology Unit of Azienda Ospedaliero Universitaria, Hospital University of Sassari (AOUSS), Sassari, Italy
| | - Mariarosa Carta
- Laboratory Medicine, Diagnostic Dept., St. Bortolo Hospital, Vicenza, Italy
| | - Davide Giavarina
- Laboratory Medicine, Diagnostic Dept., St. Bortolo Hospital, Vicenza, Italy
| | - Marcello Ciaccio
- Dept. of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Bruna Lo Sasso
- Dept. of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Gaetano Corso
- Dept. of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Carmela Paolillo
- Dept. of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Romolo Dorizzi
- Clinical Pathology Unit, Hub Laboratory, AUSL della Romagna, Cesena, Italy
| | - Marco Rosetti
- Clinical Pathology Unit, Hub Laboratory, AUSL della Romagna, Cesena, Italy
| | - Marcello Fiorini
- Clinical Pathology Laboratory, Azienda Ospedaliero-Universitaria Senese, Siena, Italy
| | - Maria Bombara
- Clinical Chemistry Laboratory, Ambito Territoriale Livorno, Azienda USL Toscana Nord Ovest, Livorno, Italy
| | - Michela Grosso
- Dept. of Molecular Medicine and Medical Biotechnology, Università degli Studi di Napoli Federico II, Napoli, Italy
| | - Mariarosaria Giuliano
- Dept. of Molecular Medicine and Medical Biotechnology, Università degli Studi di Napoli Federico II, Napoli, Italy
| | - Massimo Locatelli
- Laboratory Medicine Service, IRCCS San Raffaele Hospital, Milano, Italy
| | | | - Francesca Mencarelli
- Clinical Pathology and Hematology Service, Azienda Ospedaliera di Perugia, Perugia, Italy
| | - Novella Scattolo
- Central Laboratory, Ospedale S. Bonifacio, ULSS 9 Scaligera, Verona, Italy
| | - Marta Strollo
- Laboratory of Clinical Pathology, ASST dei Sette Laghi, Varese, Italy
| | - Andrea Mosca
- Dept. of Physiopathology and Transplantation, Università degli Studi di Milano, Milano, Italy.
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Affiliation(s)
- Ferruccio Ceriotti
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Clinical Pathology Unit, Milan, Italy
| | - Matteo Vidali
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Clinical Pathology Unit, Milan, Italy
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13
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Agnello L, Ciaccio AM, Vidali M, Cortegiani A, Biundo G, Gambino CM, Scazzone C, Lo Sasso B, Ciaccio M. Monocyte distribution width (MDW) in sepsis. Clin Chim Acta 2023; 548:117511. [PMID: 37562521 DOI: 10.1016/j.cca.2023.117511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 08/07/2023] [Accepted: 08/07/2023] [Indexed: 08/12/2023]
Abstract
Sepsis is a life-threatening syndrome due to a dysregulated host response to infection, which can be caused by bacterial, viral, or fungal infection. Thus, it is crucial to know how the different microorganisms influence the levels of a biomarker. In the last decade, monocyte distribution width (MDW) has emerged as a promising sepsis biomarker, especially in acute settings, such as the Emergency Department and Intensive Care Unit. In this article, we explore the relationship between MDW and the different pathogens causing infection. Noteworthy, MDW is not a biological molecule, but it is calculated by a mathematical formula based on monocyte characteristics. Monocytes represent the first line defence against microorganisms and undergo activation upon infection, independently from the invading pathogen. According to the knowledge on the biomarker biology and the few literatures evidence, MDW may be considered a biomarker of sepsis, independent of the causative pathogen. However, further investigations are warranted before drawing definite conclusion.
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Affiliation(s)
- Luisa Agnello
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Anna Maria Ciaccio
- Internal Medicine and Medical Specialties "G. D'Alessandro", Department of Health Promotion, Maternal and Infant Care, University of Palermo, Palermo, Italy
| | - Matteo Vidali
- Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Andrea Cortegiani
- Department of Surgical, Oncological and Oral Science, University of Palermo, Palermo, Italy
| | - Giuseppe Biundo
- Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Caterina Maria Gambino
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy; Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Concetta Scazzone
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Bruna Lo Sasso
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy; Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Marcello Ciaccio
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy; Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy.
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14
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Agnello L, Ciaccio AM, Lo Sasso B, Vidali M, Giglio RV, Gambino CM, Bivona G, Baiamonte D, Pavan N, Simonato A, Ciaccio M. Monocyte distribution width (MDW) as a reliable biomarker for urosepsis. Clin Chem Lab Med 2023; 61:e140-e142. [PMID: 36727614 DOI: 10.1515/cclm-2023-0038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 01/25/2023] [Indexed: 02/03/2023]
Affiliation(s)
- Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Anna Maria Ciaccio
- Department of Health Promotion, Maternal and Infant Care, Internal Medicine, and Medical Specialties, "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Bruna Lo Sasso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Matteo Vidali
- Department of Preventive Medicine and Laboratory Services, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Unit of Clinical Chemistry, Milan, Italy
| | - Rosaria Vincenza Giglio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Caterina Maria Gambino
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Giulia Bivona
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Davide Baiamonte
- Department of Surgical, Oncological and Oral Sciences, Unit of Urology, University Hospital "P. Giaccone", Palermo, Italy
| | - Nicola Pavan
- Department of Surgical, Oncological and Oral Sciences, Unit of Urology, University Hospital "P. Giaccone", Palermo, Italy
| | - Alchiede Simonato
- Department of Surgical, Oncological and Oral Sciences, Unit of Urology, University Hospital "P. Giaccone", Palermo, Italy
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
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15
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Gambino CM, Agnello L, Ciaccio AM, Scazzone C, Vidali M, Di Stefano V, Milano S, Brighina F, Candore G, Lo Sasso B, Ciaccio M. Detection of Antibodies against the Acetylcholine Receptor in Patients with Myasthenia Gravis: A Comparison of Two Enzyme Immunoassays and a Fixed Cell-Based Assay. J Clin Med 2023; 12:4781. [PMID: 37510896 PMCID: PMC10381261 DOI: 10.3390/jcm12144781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 06/28/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023] Open
Abstract
The detection of serum anti-acetylcholine receptor (AChR) antibodies is currently an important tool for diagnosing myasthenia gravis (MG) since they are present in about 85% of MG patients. Many serological tests are now available. Nevertheless, results from these tests can be different in some patients. The aim of this study is to compare the sensitivity of a commercially available fixed cell-based assay (F-CBA) to that of enzyme-linked immunosorbent assay (ELISA) kits for anti-AChR detection in patients with a diagnosis of MG. Overall, 143 patients with a confirmed MG diagnosis were included in the study. The detection and measurement of serum anti-AChR antibodies were performed by three analytical methods, namely, a competitive ELISA (cELISA), an indirect ELISA (iELISA), and an F-CBA, according to the manufacturers' instructions. Anti-AChR antibody titers were positive in 94/143 (66%) using the cELISA, in 75/143 (52%) using the iELISA and in 61/143 (43%) using the F-CBA (adult and/or fetal). Method agreement, evaluated by concordant pairs and Cohen's kappa, was as follows: cELISA-iELISA: 110/143 (77%), k = 0.53 (95%CI 0.40-0.66); cELISA-F-CBA: 108/143 (76%), k = 0.53 (95%CI 0.41-0.66); iELISA-F-CBA: 121/143 (85%), k = 0.70 (95%CI 0.57-0.80). Our findings show that the cELISA has better analytical performance than the iELISA and F-CBA. However, the iELISA and F-CBA show the highest concordance.
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Affiliation(s)
- Caterina Maria Gambino
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127 Palermo, Italy
| | - Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy
| | - Anna Maria Ciaccio
- Department of Health Promotion, Maternal and Infant Care, Internal Medicine and Medical Specialties "G. D'Alessandro", University of Palermo, 90127 Palermo, Italy
| | - Concetta Scazzone
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy
| | - Matteo Vidali
- Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Vincenzo Di Stefano
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Unit of Neurology, University of Palermo, 90127 Palermo, Italy
| | - Salvatore Milano
- Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127 Palermo, Italy
| | - Filippo Brighina
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Unit of Neurology, University of Palermo, 90127 Palermo, Italy
| | - Giuseppina Candore
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127 Palermo, Italy
| | - Bruna Lo Sasso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127 Palermo, Italy
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127 Palermo, Italy
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16
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Agnello L, Giglio RV, Lo Sasso B, Vidali M, Pedone S, Massa D, Ciaccio AM, Gambino CM, Ciaccio M. Validation of glycated albumin reference interval in healthy Caucasian pregnant women. Acta Diabetol 2023; 60:447-448. [PMID: 36283986 DOI: 10.1007/s00592-022-01992-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 10/03/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy
| | - Rosaria Vincenza Giglio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127, Palermo, Italy
| | - Bruna Lo Sasso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127, Palermo, Italy
| | - Matteo Vidali
- Foundation IRCCS Ca' Grande Ospedale Maggiore Policlinico, 20122, Milan, Italy
| | - Silvia Pedone
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy
| | - Davide Massa
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy
| | - Anna Maria Ciaccio
- Unit of Clinical Biochemistry, University of Palermo, Via del Vespro, CAP 129, 90127, Palermo, Sicily, Italy
| | - Caterina Maria Gambino
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127, Palermo, Italy
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy.
- Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127, Palermo, Italy.
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17
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Vidali M. Use of Computer Simulation for Calculating Reference Limits for Distribution Overlap. J Appl Lab Med 2023; 8:106-112. [PMID: 36610424 DOI: 10.1093/jalm/jfac122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 10/28/2022] [Indexed: 01/09/2023]
Abstract
BACKGROUND In laboratory medicine, data collected in different settings or under different conditions are frequently analyzed to obtain meaningful information. Evaluation based only on location or variability measures, although useful, is not enough to extract all the value from data. Other mathematical or statistical approaches are possible, but the specific knowledge required is frequently out of the reach of most laboratorians. Computer simulation may help in solving the problem. The aim of this work was to use computer simulation for calculating reference limits for the overlap of 2 distributions. METHODS Computer simulation was applied to find a reference value, and its confidence limits, from the overlapping area of 2 distributions when population means were allowed to differ by a pre-set amount. The allowable limits were compared with the overlapping area observed between data distributions reported from 3 laboratories. The simulation was run in R language. A description for the experimental setting was added, with the instructions for the simulation reported in structured English. RESULTS The simulation allowed estimation of a limit to be used as a reference value when comparing two overlapping areas. Based on these limits, one laboratory in the study was found not to be aligned with the others. CONCLUSIONS Computer simulation is a low-cost, powerful, and easy to implement tool which may help in solving simple or complex problems, when assumptions are unrealistic or unmet, or when mathematical algorithms are not known or difficult to calculate.
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Affiliation(s)
- Matteo Vidali
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Clinical Pathology Unit, Milan, Italy
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18
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Di Felice G, Vidali M, Parisi G, Pezzi S, Di Pede A, Deidda G, D’Agostini M, Carletti M, Ceccarelli S, Porzio O. Reference Intervals for Coagulation Parameters in Developmental Hemostasis from Infancy to Adolescence. Diagnostics (Basel) 2022; 12:diagnostics12102552. [PMID: 36292241 PMCID: PMC9601585 DOI: 10.3390/diagnostics12102552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 10/17/2022] [Accepted: 10/19/2022] [Indexed: 11/21/2022] Open
Abstract
Background: The objective of this study was to establish the age and sex-dependent reference intervals for coagulation assays evaluated in healthy children, ranging from 0 days to 16 years old. Methods: PT, aPTT, Fibrinogen (functional), Antithrombin activity, Protein C anticoagulant activity, Protein S free antigen, Thrombin time, D-Dimer, Von Willebrand Factor antigen, Lupus anticoagulant (screening), extrinsic and intrinsic pathway factors, and activated Protein C resistance were evaluated using STA-R Max2. Results: A total of 1280 subjects (671 males and 609 females) were divided into five groups, according to their age: 0–15 days (n = 280, 174 M and 106 F), 15–30 days (n = 208, 101 M and 107 F), 1–6 months (n = 369, 178 M and 191 F), 6–12 months (n = 214, 110 M and 104 F), and 1–16 years (n = 209, 108 M and 101 F). The 95% reference intervals and the 90% CI were established using the Harrell–Davis bootstrap method and the bootstrap percentile method, respectively. Conclusions: The present study supports the concept that adult and pediatric subjects should be evaluated using different reference intervals, at least for some coagulation tests, to avoid misdiagnosis, which can potentially lead to serious consequences for patients and their families, and ultimately the healthcare system.
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Affiliation(s)
- Giovina Di Felice
- Clinical Laboratory Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy
- Correspondence: ; Tel.: +39-066-859-2334; Fax: +39-066-859-2014
| | - Matteo Vidali
- Clinical Chemistry Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Gelsomina Parisi
- Clinical Laboratory Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy
| | - Simona Pezzi
- Clinical Laboratory Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy
| | - Alessandra Di Pede
- Neonatal Intensive Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy
| | - Giulia Deidda
- Clinical Laboratory Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy
| | - Matteo D’Agostini
- Clinical Laboratory Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy
| | - Michaela Carletti
- Clinical Laboratory Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy
| | - Stefano Ceccarelli
- Clinical Laboratory Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy
| | - Ottavia Porzio
- Clinical Laboratory Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy
- Department of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy
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19
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Agnello L, Scazzone C, Lo Sasso B, Vidali M, Giglio RV, Ciaccio AM, Ragonese P, Salemi G, Ciaccio M. Role of Multiple Vitamin D-Related Polymorphisms in Multiple Sclerosis Severity: Preliminary Findings. Genes (Basel) 2022; 13:genes13081307. [PMID: 35893044 PMCID: PMC9394239 DOI: 10.3390/genes13081307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 07/21/2022] [Accepted: 07/21/2022] [Indexed: 02/01/2023] Open
Abstract
Background: Multiple Sclerosis (MS) is a multifactorial disease whose pathogenesis is the result of interaction among genetic, epigenetic, and environmental factors. Among these, a role for vitamin D hypovitaminosis has emerged in recent decades. Vitamin D levels are influenced by both environmental and genetic factors. Single nucleotide polymorphisms (SNPs) in genes codifying for molecules involved in vitamin D metabolism have been associated with an increased risk of developing MS. However, few studies assessed the association of such SNPs with the severity of the disease. The aim of this observational study was to evaluate the potential association among vitamin D status, MS severity, and vitamin D-related SNPs, alone or in combination. Methods: In a cohort of 100 MS patients, we genotyped 18 SNPs in the following genes: NAD synthetase 1, CYP2R1, vitamin D binding protein, vitamin D receptor, Retinoid X Receptor-α, KLOTHO, CYP24A1, and CYP27A1. Serum 25(OH)D3 levels were measured by high-performance liquid chromatography. Genotyping was performed by real-time polymerase chain reaction or PCR-RFLP. Results: We did not find any association between SNPs, alone or in combination, and MS severity. Conclusion: In this study, we make an initial evaluation of the possible influence of several SNPs in vitamin D-related genes on MS severity.
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Affiliation(s)
- Luisa Agnello
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy; (L.A.); (C.S.); (B.L.S.); (R.V.G.)
| | - Concetta Scazzone
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy; (L.A.); (C.S.); (B.L.S.); (R.V.G.)
| | - Bruna Lo Sasso
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy; (L.A.); (C.S.); (B.L.S.); (R.V.G.)
- Department of Laboratory Medicine, University Hospital “P. Giaccone”, 90127 Palermo, Italy
| | - Matteo Vidali
- Foundation IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy;
| | - Rosaria Vincenza Giglio
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy; (L.A.); (C.S.); (B.L.S.); (R.V.G.)
- Department of Laboratory Medicine, University Hospital “P. Giaccone”, 90127 Palermo, Italy
| | - Anna Maria Ciaccio
- Unit of Clinical Biochemistry, University Hospital “P. Giaccone”, 90127 Palermo, Italy;
| | - Paolo Ragonese
- Unit of Neurology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy; (P.R.); (G.S.)
| | - Giuseppe Salemi
- Unit of Neurology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy; (P.R.); (G.S.)
| | - Marcello Ciaccio
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy; (L.A.); (C.S.); (B.L.S.); (R.V.G.)
- Department of Laboratory Medicine, University Hospital “P. Giaccone”, 90127 Palermo, Italy
- Correspondence:
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20
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Agnello L, Giglio RV, Gambino CM, Iacona A, Mancuso G, Biundo G, Lo Sasso B, Vidali M, Ciaccio M. Time-dependent stability of monocyte distribution width (MDW). Clin Chim Acta 2022; 533:40-41. [PMID: 35714937 DOI: 10.1016/j.cca.2022.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 06/10/2022] [Indexed: 11/19/2022]
Affiliation(s)
- Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy
| | - Rosaria Vincenza Giglio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127 Palermo, Italy
| | - Caterina Maria Gambino
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127 Palermo, Italy
| | - Alessandro Iacona
- Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127 Palermo, Italy
| | - Giovanna Mancuso
- Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127 Palermo, Italy
| | - Giuseppe Biundo
- Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127 Palermo, Italy
| | - Bruna Lo Sasso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127 Palermo, Italy
| | - Matteo Vidali
- Foundation IRCCS Ca' Grande Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127 Palermo, Italy.
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21
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Lo Sasso B, Agnello L, Giglio RV, Gambino CM, Ciaccio AM, Vidali M, Ciaccio M. Longitudinal analysis of anti-SARS-CoV-2 S-RBD IgG antibodies before and after the third dose of the BNT162b2 vaccine. Sci Rep 2022; 12:8679. [PMID: 35606426 PMCID: PMC9126106 DOI: 10.1038/s41598-022-12750-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 05/12/2022] [Indexed: 12/20/2022] Open
Abstract
Immunosurveillance by evaluating anti-spike protein receptor-binding domain (S-RBD) antibodies represents a useful tool to estimate the long immunity against Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) infection. The aim of this study was to evaluate the kinetics of antibody response in vaccine recipients. We measured anti-S-RBD IgG levels by indirect chemiluminescence immunoassay on Maglumi 800 (SNIBE, California) in 1013 healthy individuals naïve to SARS-CoV2 infection after two and three COVID-19 vaccine doses. We found that anti-S-RBD IgG levels are higher in females than males. Antibody levels gradually decrease to a steady state after four months since the peak, and the decay is independent of age, sex, vaccine doses, and baseline antibodies titer. The third dose induces a high anti-S-RBD IgG reactivity in individuals with previous high responses and triggers a moderate-high anti-S-RBD IgG reactivity. The assessment of anti-S-RBD IgG levels is essential for monitoring long-term antibody response. A third SARS-CoV-2 vaccine dose is associated with a significant immunological response. Thus, our results support the efficacy of the vaccine programs and the usefulness of the third dose.
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Affiliation(s)
- Bruna Lo Sasso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy
- Department of Laboratory Medicine, Azienda Ospedaliera Universitaria Policlinico "P. Giaccone", 90127, Palermo, Italy
| | - Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy
| | - Rosaria Vincenza Giglio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy
- Department of Laboratory Medicine, Azienda Ospedaliera Universitaria Policlinico "P. Giaccone", 90127, Palermo, Italy
| | - Caterina Maria Gambino
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy
- Department of Laboratory Medicine, Azienda Ospedaliera Universitaria Policlinico "P. Giaccone", 90127, Palermo, Italy
| | - Anna Maria Ciaccio
- Unit of Clinical Biochemistry, University of Palermo, 90127, Palermo, Italy
| | - Matteo Vidali
- Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122, Milan, Italy
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy.
- Department of Laboratory Medicine, Azienda Ospedaliera Universitaria Policlinico "P. Giaccone", 90127, Palermo, Italy.
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22
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Agnello L, Vidali M, Giglio RV, Gambino CM, Ciaccio AM, Lo Sasso B, Ciaccio M. Prostate health index (PHI) as a reliable biomarker for prostate cancer: a systematic review and meta-analysis. Clin Chem Lab Med 2022; 60:1261-1277. [PMID: 35567430 DOI: 10.1515/cclm-2022-0354] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 05/03/2022] [Indexed: 11/15/2022]
Abstract
OBJECTIVES Prostate cancer (PCa) represents the second most common solid cancer in men worldwide. In the last decades, the prostate health index (PHI) emerged as a reliable biomarker for detecting PCa and differentiating between non-aggressive and aggressive forms. However, before introducing it in clinical practice, more evidence is required. Thus, we performed a systematic review and meta-analysis for assessing the diagnostic performance of PHI for PCa and for detecting clinically significant PCa (csPCa). METHODS Relevant publications were identified by a systematic literature search on PubMed and Web of Science from inception to January 11, 2022. RESULTS Sixty studies, including 14,255 individuals, met the inclusion criteria for our meta-analysis. The pooled sensitivity and specificity of PHI for PCa detection was 0.791 (95%CI 0.739-0.834) and 0.625 (95%CI 0.560-0.686), respectively. The pooled sensitivity and specificity of PHI for csPCa detection was 0.874 (95%CI 0.803-0.923) and 0.569 (95%CI 0.458-0.674), respectively. Additionally, the diagnostic odds ratio was 6.302 and 9.206, respectively, for PCa and csPCa detection, suggesting moderate to good effectiveness of PHI as a diagnostic test. CONCLUSIONS PHI has a high accuracy for detecting PCa and discriminating between aggressive and non-aggressive PCa. Thus, it could be useful as a biomarker in predicting patients harbouring more aggressive cancer and guiding biopsy decisions.
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Affiliation(s)
- Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Matteo Vidali
- Foundation IRCCS Ca' Grande Ospedale Maggiore Policlinico, Milan, Italy
| | - Rosaria Vincenza Giglio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy.,Department of Laboratory Medicine, AOUP "P. Giaccone", Palermo, Italy
| | - Caterina Maria Gambino
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy.,Department of Laboratory Medicine, AOUP "P. Giaccone", Palermo, Italy
| | | | - Bruna Lo Sasso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy.,Department of Laboratory Medicine, AOUP "P. Giaccone", Palermo, Italy
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy.,Department of Laboratory Medicine, AOUP "P. Giaccone", Palermo, Italy
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23
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Agnello L, Vidali M, Lo Sasso B, Giglio RV, Gambino CM, Scazzone C, Ciaccio AM, Bivona G, Ciaccio M. Monocyte distribution width (MDW) as a screening tool for early detecting sepsis: a systematic review and meta-analysis. Clin Chem Lab Med 2022; 60:786-792. [PMID: 35166088 DOI: 10.1515/cclm-2021-1331] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 02/08/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVES Monocyte distribution has recently emerged as a promising biomarker of sepsis, especially in acute setting, such as Emergency Department and Intensive Care Unit. This study aimed to evaluate the accuracy of monocyte distribution width (MDW) for early detecting patients with sepsis by performing a systemic review and meta-analysis of published studies. METHODS Relevant publications were identified by a systematic literature search on PubMed and Google Scholar from inception to September 07, 2021. Studies were divided into two groups based on the sepsis criteria applied, namely sepsis-2 or sepsis-3. RESULTS Ten studies including 9,475 individuals, of whom 1,370 with sepsis (742 according Sepsis-2 and 628 according to Sepsis-3), met the inclusion criteria for our meta-analysis. The pooled sensitivity and specificity were 0.789 and 0.777 for Sepsis-2 criteria, 0.838 and 0.704 for Sepsis-3 criteria. CONCLUSIONS MDW represents a reliable biomarker for sepsis screening.
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Affiliation(s)
- Luisa Agnello
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Matteo Vidali
- Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Bruna Lo Sasso
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Rosaria Vincenza Giglio
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Caterina Maria Gambino
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Concetta Scazzone
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | | | - Giulia Bivona
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Marcello Ciaccio
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
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24
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Agnello L, Vidali M, Lo Sasso B, Giglio RV, Baiamonte D, Altomare S, Giaimo R, Simonato A, Ciaccio M. Monocyte distribution width kinetic after surgery. Int J Lab Hematol 2022; 44:e195-e197. [PMID: 35438822 DOI: 10.1111/ijlh.13845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 03/03/2022] [Accepted: 03/22/2022] [Indexed: 11/28/2022]
Affiliation(s)
- Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Matteo Vidali
- Unit of Clinical Chemistry, Department of Preventive Medicine and Laboratory Services, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Bruna Lo Sasso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy.,Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Rosaria Vincenza Giglio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy.,Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Davide Baiamonte
- Unit of Urology, Department of Surgical, Oncological and Oral Sciences, University Hospital "P. Giaccone", Palermo, Italy
| | - Silvia Altomare
- Unit of Urology, Department of Surgical, Oncological and Oral Sciences, University Hospital "P. Giaccone", Palermo, Italy
| | - Rosa Giaimo
- Unit of Urology, Department of Surgical, Oncological and Oral Sciences, University Hospital "P. Giaccone", Palermo, Italy
| | - Alchiede Simonato
- Unit of Urology, Department of Surgical, Oncological and Oral Sciences, University Hospital "P. Giaccone", Palermo, Italy
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy.,Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
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25
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De Mauri A, Carrera D, Vidali M, Bagnati M, Rolla R, Riso S, Chiarinotti D, Torreggiani M. Does Mediterranean Adequacy Index Correlate with Cardiovascular Events in Patients with Advanced Chronic Kidney Disease? An Exploratory Study. Nutrients 2022; 14:nu14091687. [PMID: 35565655 PMCID: PMC9101145 DOI: 10.3390/nu14091687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 04/11/2022] [Accepted: 04/17/2022] [Indexed: 11/23/2022] Open
Abstract
The Mediterranean Diet (MD) is a healthy dietary pattern, demonstrated to reduce the risk of cancer, diabetes, cardiovascular and neurodegenerative diseases, and early death. The Mediterranean Adequacy Index (MAI) is used to measure adherence to the MD in perspective studies in the general population and correlates with cardiovascular events. The aim of this study was to calculate the MAI among patients with advanced chronic kidney disease (CKD) and correlate it with traditional uremic, microbiota-derived, and proatherogenic toxins as well as nutritional status, quality of life, and cardiovascular events. A total of 60 adult patients with advanced CKD were enrolled and their MAI was calculated. According to the median value, patients were divided into lower (l-MAI, <1.80) and higher (h-MAI, ≥1.80) MAI groups. Biochemical parameters, microbiota-derived and proatherogenic toxins (p-Cresyl sulphate, Indoxyl-sulphate, and Lipoprotein-associated phospholipase A2), nutritional status, quality of life, and cardiovascular events that occurred in the previous three years were recorded. The mean value of the MAI was 2.78 ± 2.86. The MAI was significantly higher in foreigners (median (IQR) 6.38 (8.98) vs. 1.74 (1.67), p < 0.001) and diabetic patients. The l-MAI and h-MAI groups had similar routinary blood, p-Cresyl-sulphate, Indoxyl-sulphate, and Lp-PLA2 as well as nutritional status and quality of life parameters. The MAI was not associated with previous cardiovascular events and did not correlate with cardiovascular events in CKD patients. New and nephro-tailored indexes are warranted to evaluate nutritional therapy in CKD patients.
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Affiliation(s)
- Andreana De Mauri
- Nephrology and Dialysis Unit, Maggiore della Carità University Hospital, 28100 Novara, Italy;
- Correspondence:
| | - Deborah Carrera
- Nutritional Science and Dietetic, Maggiore della Carità University Hospital, 28100 Novara, Italy; (D.C.); (S.R.)
| | - Matteo Vidali
- Clinical Chemistry Unit, Fondazione IRCCS Ca’ Granda Maggiore Policlinico Hospital, 20122 Milano, Italy;
| | - Marco Bagnati
- Clinical Chemistry Laboratory, Maggiore della Carità University Hospital, 28100 Novara, Italy; (M.B.); (R.R.)
| | - Roberta Rolla
- Clinical Chemistry Laboratory, Maggiore della Carità University Hospital, 28100 Novara, Italy; (M.B.); (R.R.)
- Department of Health Sciences, Amedeo Avogadro University of Eastern Piedmont, 28100 Novara, Italy
| | - Sergio Riso
- Nutritional Science and Dietetic, Maggiore della Carità University Hospital, 28100 Novara, Italy; (D.C.); (S.R.)
| | - Doriana Chiarinotti
- Nephrology and Dialysis Unit, Maggiore della Carità University Hospital, 28100 Novara, Italy;
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26
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Baiamonte D, Altomare S, Giaimo R, Vella M, Mannone P, Pinelli M, Tulone G, Agnello L, Vidali M, Lo Sasso B, Giglio R, Gambino C, Pavan N, Ciaccio M, Simonato A. The potential role of Monocyte Distribution Width (MDW) as early post-operative sepsis biomarker. Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)00134-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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27
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De Mauri A, Carrera D, Vidali M, Bagnati M, Rolla R, Riso S, Torreggiani M, Chiarinotti D. Compliance, Adherence and Concordance Differently Predict the Improvement of Uremic and Microbial Toxins in Chronic Kidney Disease on Low Protein Diet. Nutrients 2022; 14:nu14030487. [PMID: 35276846 PMCID: PMC8839589 DOI: 10.3390/nu14030487] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 01/17/2022] [Accepted: 01/21/2022] [Indexed: 02/06/2023] Open
Abstract
Background. In medicine, “compliance” indicates that the patient complies with the prescriber’s recommendations, “adherence” means that “the patient matches the recommendations” and “concordance” means “therapeutic alliance” between patient and clinician. While a low protein diet (LPD) is a cornerstone treatment of chronic kidney disease (CKD), monitoring the actual performance of LPD is a challenge. Patients. Fifty-seven advanced CKD adult patients were enrolled and LPD prescribed. Compliance was evaluated through the normalized protein catabolic rate (nPCR), adherence by the dietitian by means of a 24-h dietary recall and concordance by the nephrologist during consultations. Traditional parameters as well as total p-Cresyl Sulphate (t-PCS), total Indoxyl Sulphate (t-IS) and Lipoprotein-associated phspholipase A2 (Lp-PLA2) were compared between adherent/not adherent and concordant/not concordant subjects at enrolment and after two months. Results. nPCR, blood urea nitrogen, cholesterol and triglycerides significantly decreased in all patients. t-PCS and t-IS decreased among adherent subjects. Lp-PLA2, t-PCS, free-PCS and t-IS decreased among concordant subjects, while these increased in non-concordant ones. Conclusion. This study demonstrates that LPD may improve the control of traditional uremic toxins and atherogenic toxins in “adherent” and “concordant” patients. A comprehensive and multidisciplinary approach is needed to evaluate the compliance/adherence/concordance to LPD for optimizing nutritional interventions.
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Affiliation(s)
- Andreana De Mauri
- Nephrology and Dialysis Unit, Maggiore della Carità University Hospital, 28100 Novara, Italy;
- Correspondence:
| | - Deborah Carrera
- Nutritional Science and Dietetic, Maggiore della Carità University Hospital, 28100 Novara, Italy; (D.C.); (S.R.)
| | - Matteo Vidali
- Clinical Chemistry Unit, Fondazione IRCCS Ca’ Granda Maggiore Policlinico Hospital, 20122 Milano, Italy;
| | - Marco Bagnati
- Clinical Chemistry Laboratory, Maggiore della Carità University Hospital, 28100 Novara, Italy; (M.B.); (R.R.)
| | - Roberta Rolla
- Clinical Chemistry Laboratory, Maggiore della Carità University Hospital, 28100 Novara, Italy; (M.B.); (R.R.)
- Department of Health Sciences, Amedeo Avogadro University of Eastern Piedmont, 28100 Novara, Italy
| | - Sergio Riso
- Nutritional Science and Dietetic, Maggiore della Carità University Hospital, 28100 Novara, Italy; (D.C.); (S.R.)
| | | | - Doriana Chiarinotti
- Nephrology and Dialysis Unit, Maggiore della Carità University Hospital, 28100 Novara, Italy;
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28
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Maria Gambino C, Agnello L, Lo Sasso B, Vincenza Giglio R, Di Stefano V, Candore G, Maria Pappalardo E, Maria Ciaccio A, Brighina F, Vidali M, Ciaccio M. The role of Serum Free Light Chain as Biomarker of Myasthenia Gravis. Clin Chim Acta 2022; 528:29-33. [DOI: 10.1016/j.cca.2022.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 12/14/2021] [Accepted: 01/05/2022] [Indexed: 11/25/2022]
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29
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Boggio E, Gigliotti CL, Moia R, Scotta A, Crespi I, Boggione P, De Paoli L, Deambrogi C, Garzaro M, Vidali M, Chiocchetti A, Stoppa I, Rolla R, Dianzani C, Monge C, Clemente N, Gaidano G, Dianzani U. Inducible T-cell co-stimulator (ICOS) and ICOS ligand are novel players in the multiple-myeloma microenvironment. Br J Haematol 2021; 196:1369-1380. [PMID: 34954822 DOI: 10.1111/bjh.17968] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/03/2021] [Accepted: 11/09/2021] [Indexed: 12/19/2022]
Abstract
The inducible T-cell co-stimulator (ICOS) is a T-cell receptor that, once bound to ICOS ligand (ICOSL) expressed on several cell types including the B-cell lineage, plays a decisive role in adaptive immunity by regulating the interplay between B and T cells. In addition to its immunomodulatory functions, we have shown that ICOS/ICOSL signalling can inhibit the activity of osteoclasts, unveiling a novel mechanism of lymphocyte-bone cells interactions. ICOS and ICOSL can also be found as soluble forms, namely sICOS and sICOSL. Here we show that: (i) levels of sICOS and sICOSL are increased in multiple myeloma (MM) compared to monoclonal gammopathy of undetermined significance and smouldering MM; (ii) levels of sICOS and sICOSL variably correlate with several markers of tumour burden; and (iii) sICOS levels tend to be higher in Durie-Salmon stage II/III versus stage I MM and correlate with overall survival as an independent variable. Moreover, surface ICOS and ICOSL are expressed in both myeloma cells and normal plasma cells, where they probably regulate different functional stages. Finally, ICOSL triggering inhibits the migration of myeloma cell lines in vitro and the growth of ICOSL+ MOPC-21 myeloma cells in vivo. These results suggest that ICOS and ICOSL represent novel markers and therapeutic targets for MM.
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Affiliation(s)
- Elena Boggio
- Department of Health Sciences and Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), Università del Piemonte Orientale, Novara, Italy
| | - Casimiro Luca Gigliotti
- Department of Health Sciences and Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), Università del Piemonte Orientale, Novara, Italy
| | - Riccardo Moia
- Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale, Novara, Italy.,Maggiore della Carità University Hospital, Novara, Italy
| | | | - Ilaria Crespi
- Maggiore della Carità University Hospital, Novara, Italy
| | - Paola Boggione
- Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale, Novara, Italy.,Maggiore della Carità University Hospital, Novara, Italy
| | - Lorenzo De Paoli
- Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale, Novara, Italy.,Maggiore della Carità University Hospital, Novara, Italy
| | - Clara Deambrogi
- Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale, Novara, Italy.,Maggiore della Carità University Hospital, Novara, Italy
| | - Massimiliano Garzaro
- Department of Health Sciences and Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), Università del Piemonte Orientale, Novara, Italy
| | - Matteo Vidali
- Maggiore della Carità University Hospital, Novara, Italy
| | - Annalisa Chiocchetti
- Department of Health Sciences and Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), Università del Piemonte Orientale, Novara, Italy
| | - Ian Stoppa
- Department of Health Sciences and Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), Università del Piemonte Orientale, Novara, Italy
| | - Roberta Rolla
- Department of Health Sciences and Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), Università del Piemonte Orientale, Novara, Italy.,Maggiore della Carità University Hospital, Novara, Italy
| | - Chiara Dianzani
- Department of Scienza e Tecnologia del Farmaco, University of Turin, Turin, Italy
| | - Chiara Monge
- Department of Scienza e Tecnologia del Farmaco, University of Turin, Turin, Italy
| | - Nausicaa Clemente
- Department of Health Sciences and Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), Università del Piemonte Orientale, Novara, Italy
| | - Gianluca Gaidano
- Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale, Novara, Italy.,Maggiore della Carità University Hospital, Novara, Italy
| | - Umberto Dianzani
- Department of Health Sciences and Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), Università del Piemonte Orientale, Novara, Italy.,Maggiore della Carità University Hospital, Novara, Italy
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30
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Agnello L, Lo Sasso B, Vidali M, Scazzone C, Piccoli T, Gambino CM, Bivona G, Giglio RV, Ciaccio AM, La Bella V, Ciaccio M. Neurogranin as a Reliable Biomarker for Synaptic Dysfunction in Alzheimer's Disease. Diagnostics (Basel) 2021; 11:diagnostics11122339. [PMID: 34943576 PMCID: PMC8700711 DOI: 10.3390/diagnostics11122339] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 12/07/2021] [Accepted: 12/10/2021] [Indexed: 01/02/2023] Open
Abstract
(1) Background: Neurogranin is a post-synaptic protein expressed in the neurons of the hippocampus and cerebral cortex. It has been recently proposed as a promising biomarker of synaptic dysfunction, especially in Alzheimer's disease (AD). However, more efforts are needed before introducing it in clinical practice, including the definition of its reference interval (RI). The aim of the study was to establish the RI of cerebrospinal fluid (CSF) neurogranin levels in controls and individuals with non-neurodegenerative neurological diseases; (2) We included a total of 136 individuals that were sub-grouped as follows: AD patients (n = 33), patients with non-neurodegenerative neurological diseases (n = 70) and controls (33). We measured CSF neurogranin levels by a commercial ELISA kit. CSF RI of neurogranin was calculated by a robust method; (3) Results: AD patients showed increased levels of neurogranin. We also found that neurogranin was significantly correlated with T-tau, P-tau and mini mental state examination in AD patients. The lower and upper reference limits of the RI were 2.9 (90%CI 0.1-10.8) and 679 (90%CI 595-779), respectively; (4) Conclusion: This is the first study establishing the RI of CSF neurogranin.
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Affiliation(s)
- Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; (L.A.); (B.L.S.); (C.S.); (C.M.G.); (G.B.); (R.V.G.)
| | - Bruna Lo Sasso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; (L.A.); (B.L.S.); (C.S.); (C.M.G.); (G.B.); (R.V.G.)
- Department of Laboratory Medicine, Azienda Ospedaliera Universitaria Policlinico “P. Giaccone”, 90127 Palermo, Italy
| | - Matteo Vidali
- Foundation IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy;
| | - Concetta Scazzone
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; (L.A.); (B.L.S.); (C.S.); (C.M.G.); (G.B.); (R.V.G.)
| | - Tommaso Piccoli
- Unit of Neurology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy;
| | - Caterina Maria Gambino
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; (L.A.); (B.L.S.); (C.S.); (C.M.G.); (G.B.); (R.V.G.)
| | - Giulia Bivona
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; (L.A.); (B.L.S.); (C.S.); (C.M.G.); (G.B.); (R.V.G.)
| | - Rosaria Vincenza Giglio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; (L.A.); (B.L.S.); (C.S.); (C.M.G.); (G.B.); (R.V.G.)
| | - Anna Maria Ciaccio
- Unit of Clinical Biochemistry, University of Palermo, 90127 Palermo, Italy;
| | - Vincenzo La Bella
- ALS Clinical Research Center, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90129 Palermo, Italy;
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; (L.A.); (B.L.S.); (C.S.); (C.M.G.); (G.B.); (R.V.G.)
- Department of Laboratory Medicine, Azienda Ospedaliera Universitaria Policlinico “P. Giaccone”, 90127 Palermo, Italy
- Correspondence: ; Tel.: +39-0916553296
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31
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Carobene A, Banfi G, Locatelli M, Vidali M. Within-person biological variation estimates from the European Biological Variation Study (EuBIVAS) for serum potassium and creatinine used to obtain personalized reference intervals. Clin Chim Acta 2021; 523:205-207. [PMID: 34571007 DOI: 10.1016/j.cca.2021.09.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 09/22/2021] [Accepted: 09/22/2021] [Indexed: 02/07/2023]
Affiliation(s)
- Anna Carobene
- Laboratory Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy.
| | - Giuseppe Banfi
- IRCCS Istituto Ortopedico Galeazzi, Milano, Italy; Università Vita e Salute San Raffaele, Milano, Italy
| | - Massimo Locatelli
- Laboratory Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Matteo Vidali
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
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32
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Agnello L, Bivona G, Vidali M, Scazzone C, Giglio RV, Iacolino G, Iacona A, Mancuso S, Ciaccio AM, Lo Sasso B, Ciaccio M. Monocyte distribution width (MDW) as a screening tool for sepsis in the Emergency Department. Clin Chem Lab Med 2021; 58:1951-1957. [PMID: 32598299 DOI: 10.1515/cclm-2020-0417] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 05/19/2020] [Indexed: 01/03/2023]
Abstract
Objectives The diagnosis of sepsis in the Emergency Department (ED) is challenging and a reliable biomarker is needed. The current study aimed to evaluate the diagnostic accuracy of monocyte distribution width (MDW) for the early identification of sepsis in the ED. Methods We performed a large observational study including consecutive adult patients (≥18 years of age) presenting to the ED between September and November 2019, with an order for complete blood count (CBC) evaluation. A total of 2,215 patients were enrolled and classified based on Sepsis-2 criteria as the control group (1,855), infection group (172), Systemic Inflammatory Response Syndrome (SIRS) group (100), and sepsis group (88). Results MDW levels were higher in patients with sepsis than in all other groups (p<0.001). ROC curve analysis showed an optimal diagnostic accuracy of MDW for sepsis prediction at a cut-off point of 23.5, with an AUC of 0.964, sensitivity and specificity of 0.920 and 0.929, respectively. Conclusions Our findings encourage further investigation to validate the use of MDW as a screening tool for the early identification of patients at risk of sepsis in the ED.
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Affiliation(s)
- Luisa Agnello
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Giulia Bivona
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Matteo Vidali
- Unit of Clinical Chemistry, Maggiore della Carità Hospital, Novara, Italy
| | - Concetta Scazzone
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Rosaria Vincenza Giglio
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Giorgia Iacolino
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Alessandro Iacona
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Silvia Mancuso
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | | | - Bruna Lo Sasso
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy.,Department of Laboratory Medicine, AOUP "P. Giaccone", Palermo, Italy
| | - Marcello Ciaccio
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy.,Department of Laboratory Medicine, AOUP "P. Giaccone", Palermo, Italy
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33
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Carobene A, Campagner A, Uccheddu C, Banfi G, Vidali M, Cabitza F. The multicenter European Biological Variation Study (EuBIVAS): a new glance provided by the Principal Component Analysis (PCA), a machine learning unsupervised algorithms, based on the basic metabolic panel linked measurands. Clin Chem Lab Med 2021; 60:556-568. [PMID: 34333884 DOI: 10.1515/cclm-2021-0599] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 07/20/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVES The European Biological Variation Study (EuBIVAS), which includes 91 healthy volunteers from five European countries, estimated high-quality biological variation (BV) data for several measurands. Previous EuBIVAS papers reported no significant differences among laboratories/population; however, they were focused on specific set of measurands, without a comprehensive general look. The aim of this paper is to evaluate the homogeneity of EuBIVAS data considering multivariate information applying the Principal Component Analysis (PCA), a machine learning unsupervised algorithm. METHODS The EuBIVAS data for 13 basic metabolic panel linked measurands (glucose, albumin, total protein, electrolytes, urea, total bilirubin, creatinine, phosphatase alkaline, aminotransferases), age, sex, menopause, body mass index (BMI), country, alcohol, smoking habits, and physical activity, have been used to generate three databases developed using the traditional univariate and the multivariate Elliptic Envelope approaches to detect outliers, and different missing-value imputations. Two matrix of data for each database, reporting both mean values, and "within-person BV" (CVP) values for any measurand/subject, were analyzed using PCA. RESULTS A clear clustering between males and females mean values has been identified, where the menopausal females are closer to the males. Data interpretations for the three databases are similar. No significant differences for both mean and CVPs values, for countries, alcohol, smoking habits, BMI and physical activity, have been found. CONCLUSIONS The absence of meaningful differences among countries confirms the EuBIVAS sample homogeneity and that the obtained data are widely applicable to deliver APS. Our data suggest that the use of PCA and the multivariate approach may be used to detect outliers, although further studies are required.
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Affiliation(s)
- Anna Carobene
- Laboratory Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | | | - Giuseppe Banfi
- IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.,Università Vita e Salute San Raffaele, Milan, Italy
| | - Matteo Vidali
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
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34
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Lo Sasso B, Giglio RV, Vidali M, Scazzone C, Bivona G, Gambino CM, Ciaccio AM, Agnello L, Ciaccio M. Evaluation of Anti-SARS-Cov-2 S-RBD IgG Antibodies after COVID-19 mRNA BNT162b2 Vaccine. Diagnostics (Basel) 2021; 11:diagnostics11071135. [PMID: 34206567 PMCID: PMC8306884 DOI: 10.3390/diagnostics11071135] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 06/08/2021] [Accepted: 06/18/2021] [Indexed: 11/16/2022] Open
Abstract
(1) Background: The evaluation of anti-spike protein receptor-binding domain (S-RBD) antibodies represents a useful tool to estimate the individual protection against Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) infection; (2) Methods: We evaluated anti S-RBD IgG levels by indirect chemiluminescence immunoassay on Maglumi 800 (SNIBE, California) in 2248 vaccinated subjects without previous SARS-CoV-2 infection, 91 vaccinated individuals recovered from COVID-19, and 268 individuals recovered from COVID-19 who had not been vaccinated. Among those who were healthy and vaccinated, 352 subjects performed a re-dosing after about 72 days from the first measurement. (3) Results: Anti S-RBD IgG levels were lower in subjects with previous infection than vaccinated subjects, with or without previous infection (p < 0.001). No difference was observed between vaccinated subjects, with and without previous SARS-CoV-2 infection. Overall, anti-RBD IgG levels were higher in females than males (2110 vs. 1341 BAU/mL; p < 0.001) as well as in subjects with symptoms after vaccination than asymptomatic ones (2085 vs. 1332 BAU/mL; p = 0.001) and lower in older than younger subjects. Finally, a significant decrease in anti-RBD IgG levels was observed within a short period from a complete two-dose cycle vaccination. (4) Conclusions: Our results show an efficacy antibody response after vaccination with age-, time- and sex-related differences.
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Affiliation(s)
- Bruna Lo Sasso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; (B.L.S.); (R.V.G.); (C.S.); (G.B.); (C.M.G.); (L.A.)
- Department of Laboratory Medicine, University Hospital “P. Giaccone”, 90127 Palermo, Italy
| | - Rosaria Vincenza Giglio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; (B.L.S.); (R.V.G.); (C.S.); (G.B.); (C.M.G.); (L.A.)
| | - Matteo Vidali
- Foundation IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20121 Milan, Italy;
| | - Concetta Scazzone
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; (B.L.S.); (R.V.G.); (C.S.); (G.B.); (C.M.G.); (L.A.)
| | - Giulia Bivona
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; (B.L.S.); (R.V.G.); (C.S.); (G.B.); (C.M.G.); (L.A.)
| | - Caterina Maria Gambino
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; (B.L.S.); (R.V.G.); (C.S.); (G.B.); (C.M.G.); (L.A.)
- Department of Laboratory Medicine, University Hospital “P. Giaccone”, 90127 Palermo, Italy
| | - Anna Maria Ciaccio
- Unit of Clinical Biochemistry, University of Palermo, 90127 Palermo, Italy;
| | - Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; (B.L.S.); (R.V.G.); (C.S.); (G.B.); (C.M.G.); (L.A.)
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, 90127 Palermo, Italy; (B.L.S.); (R.V.G.); (C.S.); (G.B.); (C.M.G.); (L.A.)
- Department of Laboratory Medicine, University Hospital “P. Giaccone”, 90127 Palermo, Italy
- Correspondence: ; Tel.: +39-09123865707
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Agnello L, Lo Sasso B, Scazzone C, Giglio RV, Gambino CM, Bivona G, Pantuso M, Ciaccio AM, Venezia R, Vidali M, Ciaccio M. Preliminary reference intervals of Glycated Albumin in healthy Caucasian pregnant women. Clin Chim Acta 2021; 519:227-230. [PMID: 33989612 DOI: 10.1016/j.cca.2021.05.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 05/10/2021] [Accepted: 05/10/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND AIMS Glycated albumin (GA) could represent a useful biomarker in pregnant women for diagnosing and monitoring gestational diabetes mellitus (GDM). The establishment of reference intervals (RI) is mandatory before assessing its clinical usefulness. The RIs of GA in healthy pregnant women are not well defined. The aim of the current study was to establish the RI in a cohort consisting of Caucasian pregnant women without overt diabetes mellitus or gestational diabetes mellitus. METHODS The study included 183 healthy pregnant women. GA was measured on plasma by an enzymatic method (quantILab Glycated Albumin, IL Werfen, Germany). The RI was calculated by the non-parametric and robust methods. RESULTS The RI of GA in the whole population was 10.16% (90%CI 9.60-10.70) and 15.44% (90%CI 14.90-16.90). GA levels decreased during pregnancy, with lower levels in the third trimester: 10.11 (90%CI 9.48-10.79) and 15.72 (90%CI 15.15-16.27) in the first trimester, 10.49 (90%CI 10.05-10.96) and 15.49 (90%CI 15.05-15.92) in the second trimester, 9.84 (90%CI 9.50-10.22) and 14.57 (90%CI 14.11-15.01) in the third trimester. Finally, a weak negative correlation was found between GA levels and body mass index. CONCLUSION This is the first study establishing the RIs of GA in Caucasian healthy pregnant women.
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Affiliation(s)
- Luisa Agnello
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Bruna Lo Sasso
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy; Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Concetta Scazzone
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Rosaria Vincenza Giglio
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Caterina Maria Gambino
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Giulia Bivona
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Michele Pantuso
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | | | - Renato Venezia
- Unit of Gynaecology and Obstetrics, Department of Science for Health Promotion and Mother to Child Care "G. D'Alessandro", University of Palermo, Italy
| | - Matteo Vidali
- Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Marcello Ciaccio
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy; Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy.
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Agnello L, Iacona A, Lo Sasso B, Scazzone C, Pantuso M, Giglio RV, Gambino CM, Ciaccio AM, Bivona G, Vidali M, Ciaccio M. A new tool for sepsis screening in the Emergency Department. Clin Chem Lab Med 2021; 59:1600-1605. [PMID: 33851525 DOI: 10.1515/cclm-2021-0208] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 03/30/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVES In this study, we developed and evaluated the diagnostic accuracy of the Sepsis Index for early sepsis screening in the Emergency Department (ED). METHODS Sepsis Index is based on the combination of monocyte distribution width (MDW) and mean monocyte volume (MMV). Sepsis Index≥1 was selected to define sepsis. We tested its diagnostic accuracy in an ED population stratified in four groups: controls, Systemic Inflammatory Response Syndrome (SIRS), infection, and sepsis, according to Sepsis-2 criteria. RESULTS Patients with sepsis displayed higher median Sepsis Index value than patients without sepsis. At the receiver operating characterictis (ROC) curve analysis for the prediction of sepsis, the area under the curve (AUC) of MDW and Sepsis Index were similar: 0.966 (95%CI 0.947-0.984), and 0.964 (95%CI 0.942-0.985), respectively. Sepsis Index showed increased specificity than MDW (94.7 vs. 90.6%), without any decrease in sensitivity (92.0%). Additionally, LR+ increased from 9.8 (MDW) to 17.4 (Sepsis Index), without any substantial change in LR- (respectively 0.09 vs. 0.08). Finally, PPV increased from 0.286 (MDW) to 0.420 (Sepsis Index). CONCLUSIONS Sepsis Index improves the diagnostic accuracy of MDW alone for sepsis screening.
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Affiliation(s)
- Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Alessandro Iacona
- Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Bruna Lo Sasso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy.,Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Concetta Scazzone
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Michele Pantuso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Rosaria Vincenza Giglio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Caterina Maria Gambino
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | | | - Giulia Bivona
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Matteo Vidali
- Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy.,Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
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Agnello L, Colletti T, Lo Sasso B, Vidali M, Spataro R, Gambino CM, Giglio RV, Piccoli T, Bivona G, La Bella V, Ciaccio M. Tau protein as a diagnostic and prognostic biomarker in amyotrophic lateral sclerosis. Eur J Neurol 2021; 28:1868-1875. [PMID: 33638255 DOI: 10.1111/ene.14789] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 02/11/2021] [Indexed: 01/11/2023]
Abstract
BACKGROUND AND PURPOSE To test the hypothesis that total tau (tTau), tau phosphorylated at threonine 181 (pTau) and pTau/tTau ratio in the cerebrospinal fluid (CSF) are diagnostic and prognostic biomarkers of amyotrophic lateral sclerosis (ALS), we performed a retrospective observational study in a large cohort of ALS patients and controls. METHODS We enrolled 196 ALS patients and 91 controls, who included patients with ALS-mimicking diseases and those with non-neurodegenerative diseases. All patients underwent lumbar puncture for CSF analysis at the time of the diagnostic evaluation or to first referral. We measured tTau and pTau levels in the CSF by chemiluminescence enzyme immunoassay. RESULTS Patients with ALS showed significantly higher levels of CSF tTau and a lower pTau/tTau ratio than controls (tTau: 245 vs. 146 pg/ml; p < 0.001; pTau/tTau ratio: 0.12 vs. 0.18; p < 0.001, respectively). No differences in pTau levels were detected. Receiver-operating characteristic curve analysis showed a good diagnostic accuracy of tTau and pTau/tTau ratio (tTau: area under the curve [AUC] 0.685, 95% confidence interval [CI] 0.616-0.754, p = 0.039; pTau/tTau ratio: AUC 0.777, 95% CI 0.707-0.848, p < 0.001). Among ALS patients, increased tTau levels were associated with advanced age of onset, increased revised amyotrophic lateral sclerosis functional rating scale (ALSFRS-R) score (ΔFS) rate of progression, and spinal onset. Multivariate analysis showed that in ALS patients, this biomarker was an independent negative predictor of overall survival. CONCLUSIONS Our findings suggest that tTau and pTau/tTau ratio can be diagnostic biomarkers of ALS. In addition, CSF tTau level at diagnosis might play a relevant prognostic role in the disease.
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Affiliation(s)
- Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Tiziana Colletti
- ALS Clinical Research Center and Laboratory of Neurochemistry, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Bruna Lo Sasso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy.,Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Matteo Vidali
- Unit of Clinical Chemistry, Maggiore della Carità Hospital, Novara, Italy
| | | | - Caterina Maria Gambino
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Rosaria Vincenza Giglio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Tommaso Piccoli
- Unit of Neurology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Giulia Bivona
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Vincenzo La Bella
- ALS Clinical Research Center and Laboratory of Neurochemistry, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy.,Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
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Agnello L, Lo Sasso B, Vidali M, Scazzone C, Gambino CM, Giglio RV, Ciaccio AM, Bivona G, Ciaccio M. Validation of monocyte distribution width decisional cutoff for sepsis detection in the acute setting. Int J Lab Hematol 2021; 43:O183-O185. [PMID: 33634941 DOI: 10.1111/ijlh.13496] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 02/01/2021] [Accepted: 02/05/2021] [Indexed: 12/13/2022]
Affiliation(s)
- Luisa Agnello
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Bruna Lo Sasso
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy.,Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Matteo Vidali
- Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Concetta Scazzone
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Caterina Maria Gambino
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Rosaria Vincenza Giglio
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | | | - Giulia Bivona
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Marcello Ciaccio
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy.,Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
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Agnello L, Sasso BL, Giglio RV, Bivona G, Gambino CM, Cortegiani A, Ciaccio AM, Vidali M, Ciaccio M. Monocyte distribution width as a biomarker of sepsis in the intensive care unit: A pilot study. Ann Clin Biochem 2020; 58:70-73. [PMID: 33074719 DOI: 10.1177/0004563220970447] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND Monocyte distribution width has been recently proposed as a sepsis biomarker in the emergency department. The aim of this study was to assess the role of monocyte distribution width as a diagnostic biomarker of sepsis in the intensive care unit. METHODS In this prospective observational study, we included all consecutive patients admitted to the intensive care unit of the University Hospital "P. Giaccone" of Palermo. Patients were classified into three groups according to Sepsis-3 criteria: (1) patients without sepsis; (2) patients developing sepsis during their hospital stay; (3) patients admitted with sepsis. Monocyte distribution width was measured at admission (groups 1, 2, 3) and daily until the developing of sepsis (group 2) or the end of hospitalization (group 1). RESULTS Monocyte distribution width was significantly higher in group 3 than group 1 and group 2 (30.9 [25.6-36.0] vs. 20.3 [18.3-23.6] and 21.4 [19.4-25.2]). Among patients belonging to group 2, monocyte distribution width values, measured at the day when sepsis was clinically diagnosed, were significantly higher than those found at admission: 29.4 (26.7-36.0) vs. 21.4 (19.4-25.2), P = 0.001. CONCLUSION Monocyte distribution width could represent a reliable biomarker of sepsis in the intensive care unit.
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Affiliation(s)
- Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Bruna Lo Sasso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy.,Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
| | - Rosaria Vincenza Giglio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Giulia Bivona
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Caterina Maria Gambino
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Andrea Cortegiani
- Division of Anaesthesia, Analgesia, Intensive Care and Emergency, Department of Surgical, Oncological and Oral Science, Policlinico Paolo Giaccone, University of Palermo, Palermo, Italy
| | | | - Matteo Vidali
- Unit of Clinical Chemistry, Maggiore della Carità Hospital, Novara, Italy
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy.,Department of Laboratory Medicine, University Hospital "P. Giaccone", Palermo, Italy
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Vidali M, Carobene A, Apassiti Esposito S, Napolitano G, Caracciolo A, Seghezzi M, Previtali G, Lippi G, Buoro S. Standardization and harmonization in hematology: Instrument alignment, quality control materials, and commutability issue. Int J Lab Hematol 2020; 43:364-371. [PMID: 33174358 DOI: 10.1111/ijlh.13379] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Revised: 09/13/2020] [Accepted: 10/05/2020] [Indexed: 11/27/2022]
Abstract
INTRODUCTION In the hub and spoke laboratory network, the number of hematology analyzers (HAs) within each core center has increased, and the control of HAs alignment is becoming necessary requirement to ensure analytical quality. In this scenario, HA alignment can be assessed by analyzing the same control material used for internal quality control on multiple HAs, assuming its commutability. The aim of the study was to verify the applicability of a protocol for the alignment of HAs based on control material rather than on fresh whole-blood samples. METHODS The alignment of five HAs was evaluated for red (RBC, Hb, MCV, RET), white (WBC, NE, LY, MO, EO, BA, IG), and platelet (PLT) series parameters, following a protocol by SIBioC, using human sample (HS) and quality control material (QC), after the verification of commutability, according to the IFCC protocol. Maximum bias was derived from biological variation data. RESULTS A complete alignment between instruments was confirmed for the majority of the parameters investigated both for HS and QC material. Partial misalignments or inconcludent results were instead evident for MCV, MO, EO, BA, and IG. Interestingly, QC material was found to be not commutable for LY, MO, and BA. CONCLUSION The alignment of hematologic analyzers for main cell population parameters may be verified with both QC and HS, displaying consistent results and interpretation. The evaluation for some white series parameters (EO, BA, and IG) is critical, and particular attention must be paid to the values of the material used for the alignment.
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Affiliation(s)
- Matteo Vidali
- Clinical Chemistry Unit, Maggiore della Carità Hospital, Novara, Italy
| | - Anna Carobene
- Laboratory Medicine, Ospedale San Raffaele, Milan, Italy
| | | | - Gavino Napolitano
- Clinical Chemistry Laboratory, Hospital Papa Giovanni XXIII, Bergamo, Italy
| | | | - Michela Seghezzi
- Clinical Chemistry Laboratory, Hospital Papa Giovanni XXIII, Bergamo, Italy
| | - Giulia Previtali
- Clinical Chemistry Laboratory, Hospital Papa Giovanni XXIII, Bergamo, Italy
| | - Giuseppe Lippi
- Section of Clinical Biochemistry, University of Verona, Verona, Italy
| | - Sabrina Buoro
- Clinical Chemistry Laboratory, Hospital Papa Giovanni XXIII, Bergamo, Italy
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Rolla R, Vidali M, Puricelli C, Scotta AM, Pedrinelli A, Pergolini P, Pirisi M, Dianzani U, Rigamonti C. Reduced activity of B lymphocytes, recognised by Sysmex XN-2000™ haematology analyser, predicts mortality in patients with coronavirus disease 2019. Int J Lab Hematol 2020; 43:e5-e8. [PMID: 32893487 DOI: 10.1111/ijlh.13331] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 07/28/2020] [Accepted: 08/07/2020] [Indexed: 12/20/2022]
Affiliation(s)
- Roberta Rolla
- Clinical Chemistry Laboratory, Department of Health Sciences, University of Eastern Piedmont Amedeo Avogadro, Novara, Italy
| | - Matteo Vidali
- Clinical Chemistry Laboratory, Department of Health Sciences, University of Eastern Piedmont Amedeo Avogadro, Novara, Italy
| | - Chiara Puricelli
- Clinical Chemistry Laboratory, Department of Health Sciences, University of Eastern Piedmont Amedeo Avogadro, Novara, Italy
| | - Anna Maria Scotta
- Clinical Chemistry Laboratory, Department of Health Sciences, University of Eastern Piedmont Amedeo Avogadro, Novara, Italy
| | - Anita Pedrinelli
- Division of Internal Medicine, Department of Translational Medicine, University of Eastern Piedmont Amedeo Avogadro, Novara, Italy
| | - Patrizia Pergolini
- Clinical Chemistry Laboratory, Department of Health Sciences, University of Eastern Piedmont Amedeo Avogadro, Novara, Italy
| | - Mario Pirisi
- Division of Internal Medicine, Department of Translational Medicine, University of Eastern Piedmont Amedeo Avogadro, Novara, Italy
| | - Umberto Dianzani
- Clinical Chemistry Laboratory, Department of Health Sciences, University of Eastern Piedmont Amedeo Avogadro, Novara, Italy
| | - Cristina Rigamonti
- Division of Internal Medicine, Department of Translational Medicine, University of Eastern Piedmont Amedeo Avogadro, Novara, Italy
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Lo Sasso B, Vidali M, Scazzone C, Agnello L, Ciaccio M. Reference interval by the indirect approach of serum thyrotropin (TSH) in a Mediterranean adult population and the association with age and gender. Clin Chem Lab Med 2020; 57:1587-1594. [PMID: 31188745 DOI: 10.1515/cclm-2018-0957] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 02/27/2019] [Indexed: 12/13/2022]
Abstract
Background The serum concentration of thyrotropin (TSH) represents a first-line test in diagnostic algorithms. The estimation of TSH reference intervals (RIs) is still a matter of debate due to the high prevalence of subclinical disease making difficult the definition of truly healthy subjects. The aim of this study was to estimate TSH RIs in healthy subjects and to evaluate the effect of age and gender on TSH concentration. Methods Forty-four thousand one hundred and fifty-six TSH data were collected between July 2012 and April 2018 at the Department of Laboratory Medicine, University-Hospital, Palermo. Common and sex-specific RIs were estimated by Arzideh's indirect method after exclusion of individuals younger than 15 years, subjects with repeated TSH tests and with abnormal free thyroxine (fT4), free triiodothyronine (fT3) or anti-thyroid-peroxidase antibodies. The combined effect of age and gender on TSH values was evaluated. Results RIs estimated in the selected individuals (n = 22602) were, respectively, 0.18-3.54 mIU/L (general), 0.19-3.23 mIU/L (men) and 0.18-3.94 mIU/L (women). Women showed significantly higher median TSH than men (1.46 vs. 1.39 mIU/L; p < 0.0001). Both in men and in women, median TSH decreased along with age; however, although up to 60 years in both men and women showed similar values, afterwards women showed constantly higher TSH than men. Accordingly, statistical analysis showed a significant interaction between gender and age (p = 0.001), suggesting that the effect of age on TSH is different between genders. Conclusions Our findings suggest that the indirect method, with appropriate cleaning of data, could be useful to define TSH RIs.
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Affiliation(s)
- Bruna Lo Sasso
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Matteo Vidali
- Clinical Chemistry Unit, Maggiore della Carità Hospital, Novara, Italy
| | - Concetta Scazzone
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Luisa Agnello
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Marcello Ciaccio
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy.,Department of Laboratory Medicine, University Hospital, Palermo, Italy
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Gioia M, Da Rin G, Manenti B, Birindelli S, Ciardelli ML, Gentile R, Beretta G, Lorusso G, Avino D, Di Fabio AM, Dima F, Fanelli A, Lorubbio M, Francione S, Marincheva G, Marini A, Papa A, Giannelli E, Pajola R, Panzeri A, Pipitone S, Benegiamo A, Rolla R, Vidali M, Buoro S. Multicenter evaluation of analytical performances of platelet counts and platelet parameters: Carryover, precision, and stability. Int J Lab Hematol 2020; 42:552-564. [PMID: 32304271 DOI: 10.1111/ijlh.13204] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Revised: 03/23/2020] [Accepted: 03/25/2020] [Indexed: 02/05/2023]
Abstract
INTRODUCTION The correctness of the results of automated platelet analysis is still highly debated. The aim of this multicenter study, conducted according to international guidelines, was to verify the analytical performance of nine different types of hematology analyzers (HAs) in the automated platelet analysis. METHODS Four hundred eighty-six peripheral blood samples (PB), collected in K3 EDTA tubes, were analyzed by ABX Pentra, ADVIA2120i, BC-6800, BC-6800 Plus, Cell-DYN Sapphire, DxH800, XE-2100, XE-5000, XN-20 with PLT-F App. Within-run imprecision and between-run imprecision were carried out using PB and material control, respectively. The carryover, low limit of quantification (LoQ), and the PB stability were evaluated. RESULTS The carryover was absent for all HAs. The LoQ of PLT ranged between 2.0 (Cell-Dyn Sapphire) and 25.0 × 109 /L (ADVIA 2120i), while immature platelet fraction (IPF) ranged between 1.0 (XN-20) and 12.0 × 109 /L (XE-5000). The imprecision (%CV) increases as the platelet count decreases. No HAs showed desirable CVAPS for PLT counts less than 50.0 × 109 /L, with the exception of Cell-DYN Sapphire (CV 3.0% with PLT-O mean value of 26.7 × 109 /L), XN-20 (CV 2.4% with PLT-F mean value of 21.5 × 109 /L), and BC-6800 Plus (CV 1.9% with PLT-O mean value of 26.5 × 109 /L). The sample stability ranged between under two hours for MPV by ADVIA2120i and 8 hours for other PLT parameters and HAs. CONCLUSION The findings of this study may provide useful information regarding carryover, precision, and stability of platelet counts and parameters, especially in thrombocytopenic samples. Moreover, the stability of sample for platelet analysis is conditioned by the HA and by temperature and storage time.
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Affiliation(s)
- Maria Gioia
- Clinical Chemistry Laboratory, Abele Ajello Hospital, Mazara del Vallo, Italy
| | - Giorgio Da Rin
- Medicine Laboratory, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Barbara Manenti
- Clinical Chemistry Laboratory, Papa Giovanni XXIII Hospital, Bergamo, Italy
| | - Sarah Birindelli
- Clinical Pathology Unit, ASST Fatebenefratelli-Sacco, Milan, Italy
| | - Maria Laura Ciardelli
- Clinical Chemistry Laboratory, Policlinico San Matteo-IRCCS, University of Pavia, Pavia, Italy
| | - Roberto Gentile
- Clinical Chemistry Laboratory, Policlinico San Matteo-IRCCS, University of Pavia, Pavia, Italy
| | - Gianluca Beretta
- Clinical Chemistry Laboratory, Policlinico San Pietro - Istituti Ospedalieri Bergamaschi, San Pietro, Italy
| | - Giuseppe Lorusso
- Clinical Chemistry Laboratory, Policlinico San Pietro - Istituti Ospedalieri Bergamaschi, San Pietro, Italy
| | - Daniela Avino
- Hematological diagnostic Laboratory, P. O. "A. Tortora", Pagani, Italy
| | | | - Francesco Dima
- Section of Clinical Biochemistry, University of Verona, Verona, Italy
| | | | - Maria Lorubbio
- Laboratory Department, Azienda Ospedaliera Careggi, Florence, Italy
| | - Sara Francione
- Department of Clinical Chemistry and Microbiology, ASL Novara, Borgomanero, Italy
| | - Galina Marincheva
- Department of Clinical Chemistry and Microbiology, ASL Novara, Borgomanero, Italy
| | - Alessandra Marini
- Department of Clinical Chemistry, Versilia Hospital, Lido di Camaiore, Italy
| | - Angela Papa
- Laboratory Medicine, Fondazione G. Monasterio CNR Regione Toscana, Pisa, Italy
| | - Elena Giannelli
- Laboratory Medicine, Fondazione G. Monasterio CNR Regione Toscana, Pisa, Italy
| | - Rachele Pajola
- Clinical Chemistry Laboratory, Ospedali Riuniti Padova Sud Schiavonia, Italy
| | - Andrea Panzeri
- Clinical Pathology Unit, ASST Fatebenefratelli-Sacco, Milan, Italy
| | - Silvia Pipitone
- Clinical Chemistry and Hematology Laboratory, University Hospital of Parma, Parma, Italy
| | - Anna Benegiamo
- Clinical Chemistry and Hematology Laboratory, University Hospital of Parma, Parma, Italy
| | - Roberta Rolla
- Clinical Chemistry Laboratory, Department of Health Sciences, Maggiore Carità Hospital, University of Eastern Piedmont, Novara, Italy
| | - Matteo Vidali
- Clinical Chemistry Laboratory, Department of Health Sciences, Maggiore Carità Hospital, University of Eastern Piedmont, Novara, Italy
| | - Sabrina Buoro
- Clinical Chemistry Laboratory, Papa Giovanni XXIII Hospital, Bergamo, Italy
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Agnello L, Piccoli T, Vidali M, Cuffaro L, Lo Sasso B, Iacolino G, Giglio VR, Lupo F, Alongi P, Bivona G, Ciaccio M. Diagnostic accuracy of cerebrospinal fluid biomarkers measured by chemiluminescent enzyme immunoassay for Alzheimer disease diagnosis. Scand J Clin Lab Invest 2020; 80:313-317. [PMID: 32255379 DOI: 10.1080/00365513.2020.1740939] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
In the last decades, an important role of cerebrospinal fluid (CSF) biomarkers for Alzheimer disease (AD) diagnosis has emerged. The evaluation of the triad consisting of 42 aminoacid-long amyloid-beta peptide (Aβ42), total Tau (tTau) and Tau phosphorylated at threonine 181 (pTau) have been recently integrated into the research diagnostic criteria of AD. For a long time, the enzyme-linked immunosorbent assay (ELISA) has represented the most commonly used method for the measurement of CSF biomarkers levels. This study aimed to assess the diagnostic accuracy of CSF biomarkers, namely Aβ42, tTau and pTau and their ratio, measured by fully automated CLEIA assay (Lumipulse). We included 96 patients clinically diagnosed as AD (48) and non-AD (48). All CSF biomarkers levels were measured on Lumipulse G1200 fully automated platform (Fujirebio Inc. Europe, Gent, Belgium). Aβ42 levels, 42/40 ratio, 42/tTau ratio, 42/PTau ratio were significantly reduced, and tTau and PTau levels were significantly increased in AD patients in comparison with non-AD patients. The receiving operator curve (ROC) analysis showed good diagnostic accuracy of all CSF biomarkers and their ratios for discriminating AD patients from non-AD patients, with 42/40 ratio having the best AUC (0.724, 95%CI 0.619-0.828; p < 0.001). Our findings support the use of CSF biomarkers measured by CLEIA method on a fully automated platform for AD diagnosis.
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Affiliation(s)
- Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Tommaso Piccoli
- Unit of Neurology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Matteo Vidali
- Unit of Clinical Chemistry, Maggiore della Carità Hospital, Novara, Italy
| | - Luca Cuffaro
- Unit of Neurology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Bruna Lo Sasso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Giorgia Iacolino
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Vincenza Rosaria Giglio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Federica Lupo
- Unit of Neurology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Pierpaolo Alongi
- Unit of Neurology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Giulia Bivona
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, University of Palermo, Palermo, Italy.,Department of Laboratory Medicine, AOUP "P. Giaccone", Palermo, Italy
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Ferrari D, Strollo M, Vidali M, Motta A, Pontillo M, Locatelli M. Biochemical, immunochemical and serology analytes validation of the lithium heparin BD Barricor blood collection tube on a highly automated Roche COBAS8000 instrument. Acta Biomed 2020; 91:47-55. [PMID: 32191654 PMCID: PMC7569594 DOI: 10.23750/abm.v91i1.9195] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 01/22/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND Recently developed blood tubes with a barrier to provide plasma are becoming widespread. We compared 43 biochemical, 35 immunochemical and 7 serology analytes in a BD-Vacutainer® Barricor tube for local clinical validation of this lithium-heparin tube with a barrier. METHODS Samples from 70 volunteers were collected in different BD-tubes: a clot-activator tube with gel (SST), a lithium-heparin tube with gel (PST), and a lithium-heparin tube with barrier (BAR). Biases from Bland-Altman plots and 95% confidence intervals were compared with the desirable specification from the Ricos database in order to verify whether measurements from different tubes were significantly different. RESULTS For most of the analytes tested, the measurements using SST, PST or BAR tubes were equivalent. Only BIC, GLU, K, LAD, LPA, P, TP, CTX, Ferritin, HGH, vitD3 and ANTIS showed statistically significant, between-tubes, differences which might have clinical implication. CONCLUSIONS The study demonstrates that SST, PST and BAR can be used interchangeably for most of the analytes tested, including serology analytes. This allows the use of the same tube for assaying multiple analytes, increasing the laboratory efficiency while decreasing patients discomfort by minimizing blood withdrawal.
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Affiliation(s)
| | - Marta Strollo
- Laboratory Medicine Service, San Raffaele Hospital, Milano, Italy.
| | - Matteo Vidali
- Clinical Chemistry Unit, University Hospital Maggiore della Carità, Novara, Italy.
| | - Andrea Motta
- Laboratory Medicine Service, San Raffaele Hospital, Milano, Italy.
| | - Marina Pontillo
- Laboratory Medicine Service, San Raffaele Hospital, Milano, Italy.
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De Mauri A, Vidali M, Chiarinotti D, Dianzani U, Rolla R. Lipoprotein-associated phospholipase A2 predicts lower limb ischemia in hemodialysis subjects. Ther Apher Dial 2019; 24:548-553. [PMID: 31863555 DOI: 10.1111/1744-9987.13465] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 12/12/2019] [Accepted: 12/18/2019] [Indexed: 11/30/2022]
Abstract
Hemodialyzed patients (HD) have high prevalence of peripheral arterial disease. In the general population, lipoprotein-associated phospholipase A2 (Lp-PLA2 ) is associated with peripheral arterial disease but no data are available for renal subjects. The aim of this study was to evaluate the relationship between Lp-PLA2 and lower limb ischemia among dialyzed patients. One hundred and two dialyzed subjects, with median (IQR) age of 71 (59-78) years, enrolled in June 2013 and followed until June 2018, were investigated for Lp-PLA2 activity and the occurrence of peripheral arterial disease and lower limb ischemia. The median (IQR) levels of Lp-PLA2 were 184 nmol/min/mL (156.5-214.5). The 43 HD patients with abnormal Lp-PLA2 activity (>194 nmol/min/mL) had higher levels of total and LDL-cholesterol, ApoB/A1 ratio, and higher occurrence of lower limb ischemia during the follow up (44% vs 17%, P = .003). In multivariate analysis, Lp-PLA2 activity (P = .018) and diabetes (P < .001) were independently associated with time to lower limb ischemia, and when the presence of previous PAD was added to the multivariate model, only presence of previous PAD (P < .001) and Lp-PLA2 (P = .003) remained associated. Lp-PLA2 is an independent predictor of lower limb ischemia in dialyzed patients.
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Affiliation(s)
- Andreana De Mauri
- Nephrology and Dialysis Unit, "Maggiore della Carità" University Hospital, Novara, Italy.,Department of Health Sciences, Amedeo Avogadro University of Eastern Piedmont, Novara, Italy
| | - Matteo Vidali
- Clinical Chemistry Laboratory, "Maggiore della Carità" University Hospital, Novara, Italy
| | - Doriana Chiarinotti
- Nephrology and Dialysis Unit, "Maggiore della Carità" University Hospital, Novara, Italy
| | - Umberto Dianzani
- Department of Health Sciences, Amedeo Avogadro University of Eastern Piedmont, Novara, Italy.,Clinical Chemistry Laboratory, "Maggiore della Carità" University Hospital, Novara, Italy
| | - Roberta Rolla
- Department of Health Sciences, Amedeo Avogadro University of Eastern Piedmont, Novara, Italy.,Clinical Chemistry Laboratory, "Maggiore della Carità" University Hospital, Novara, Italy
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47
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De Mauri A, Vidali M, Rolla R, Brustia M, David P, Ruva CE, Bardone B, Dianzani U, Chiarinotti D. FP636LIPOPROPTEIN-ASSOCIATED PHOSPHOLIPASE A2 PREDICTS THE LOWER LIMB ISCHEMIA IN DIALYZED PATIENTS. Nephrol Dial Transplant 2019. [DOI: 10.1093/ndt/gfz106.fp636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
| | - Matteo Vidali
- “Maggiore della Carità“ University Hospital, Novara, Italy
| | - Roberta Rolla
- Amedeo Avogadro University of Eastern Piedmont, Novara, Italy
| | | | - Paola David
- “Maggiore della Carità“ University Hospital, Novara, Italy
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Novelli C, Vidali M, Brando B, Morelli B, Andreani G, Arini M, Calzoni P, Giacomello R, Montaruli B, Muccini E, Papa A, Pradella P, Ruocco L, Siviero F, Viola FG, Zanchetta M, Zardo L, Lippi G. A collaborative study by the Working Group on Hemostasis and Thrombosis of the Italian Society of Clinical Biochemistry and Clinical Molecular Biology (SIBioC) on the interference of haemolysis on five routine blood coagulation tests by evaluation of 269 paired haemolysed/non-haemolysed samples. Biochem Med (Zagreb) 2019; 28:030711. [PMID: 30429679 PMCID: PMC6214687 DOI: 10.11613/bm.2018.030711] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Accepted: 08/20/2018] [Indexed: 12/04/2022] Open
Abstract
Introduction Haemolysis is the leading cause of sample rejection in laboratory haemostasis. Most studies focused on artificially haemolysed samples. The aim of this study was a prospective assessment of spontaneous haemolysis on haemostasis tests, by comparing results of haemolysed (H) versus new, non-haemolysed (NH) specimens, collected within 4hrs. As new coagulometers can identify interfering substances, visual assessment of haemolysis was also compared with instrumental haemolysis index and stratified in subclasses. Materials and methods Two hundred and sixty nine paired samples were collected and analysed using ACL TOP750-CTS (Instrumentation Laboratory, Bedford, USA), for prothrombin time (PT), activated partial thromboplastin time (aPTT), D-Dimer (DD), fibrinogen (Fib) and antithrombin (AT). Bias between H and NH was calculated and compared with the respective critical difference (CD). Results Mean bias was - 0.1 s for PT (P = 0.057), - 1.1 s for aPTT (P < 0.001), 1025 ng/mL for DD (P < 0.001), - 0.04 g/L for Fib (P = 0.258) and 1.4% for AT (P = 0.013). Bias exceeding the CD varied according to the method, with larger differences for aPTT (36.1%) and DD (17.1%) and < 8% for PT, Fib and AT. No correlation emerged between free haemoglobin values and difference in haemostasis tests in H and NH samples for any tests. Moderate/severe haemolysis involved > 95% of samples. The agreement between visual assessment and instrumental evaluation of haemolysis was 0.62. Conclusion Spurious haemolysis deeply influences aPTT and DD, and to a lesser extent AT and Fib. Prothrombin time seems only slightly influenced, suggesting that PT can be accepted also in haemolysed samples. Although a good inter-observer correlation of haemolysis evaluation was found, the instrumental assessment of haemolysis seems recommendable.
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Affiliation(s)
- Chiara Novelli
- Transfusion Center and Haematology Laboratory, Western Milan Area Hospital Consortium, Legnano General Hospital, Legnano, Italy
| | - Matteo Vidali
- Clinical Chemistry Unit, Maggiore della Carità Hospital, Novara, Italy
| | - Bruno Brando
- Transfusion Center and Haematology Laboratory, Western Milan Area Hospital Consortium, Legnano General Hospital, Legnano, Italy
| | | | | | - Marina Arini
- Clinical and Microbiological Analysis Laboratory, Dell'Angelo Hospital, Mestre, Italy
| | - Paola Calzoni
- Clinical Pathology, University Hospital of Siena, Siena, Italy
| | - Roberta Giacomello
- Department of Medical Area, University of Udine, Department of Laboratory Medicine, ASUI UD, University Hospital, Udine, Italy
| | | | - Emanuela Muccini
- Clinical Biochemistry Laboratory, Azienda O.U. S. Giovanni Battista, Turin, Italy
| | - Angela Papa
- Laboratory Medicine, G. Monasterio Foundation, CNR-Regione Toscana, Pisa, Italy
| | - Paola Pradella
- Transfusion Medicine, University Hospital "Ospedali Riuniti" of Trieste, Trieste, Italy
| | - Lucia Ruocco
- Clinical Analysis Laboratory, University Hospital of Pisa, Pisa, Italy
| | - Fosca Siviero
- Laboratory Medicine, Bassano del Grappa Hospital, Bassano del Grappa, Italy
| | - Filomena Gemma Viola
- Department of Laboratory Medicine, Tor Vergata University Hospital of Rome, Rome, Italy
| | - Mario Zanchetta
- Laboratory Analysis, Degli Infermi Hospital, Ponderano, Italy
| | - Lorena Zardo
- Laboratory Analysis, San Giacomo Apostolo Hospital, Castelfranco Veneto, Italy
| | - Giuseppe Lippi
- Section of Clinical Biochemistry, University of Verona, Verona, Italy
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Mancini A, Esposto G, Manfrini S, Rilli S, Tinti G, Carta G, Petrolati L, Vidali M, Barocci S. A Real-World Setting Study: Which Glucose Meter Could Be the Best for POCT Use? An Easy and Applicable Protocol During the Hospital Routine. J Diabetes Sci Technol 2018; 12:1053-1060. [PMID: 29783898 PMCID: PMC6134620 DOI: 10.1177/1932296818774077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The aim of this retrospective study is to evaluate the reliability and robustness of six glucose meters for point-of-care testing in our wards using a brand-new protocol. During a 30-days study period a total of 50 diabetes patients were subjected to venous blood sampling and glucose meter blood analysis. The results of six glucose meters were compared with our laboratory reference assay. GlucoMen Plus (Menarini) with the 82% of acceptable results was the most robust glucose meter. Even if the Passing-Bablok analysis demonstrates the presence of constant systematic errors and the Bland-Altman test highlighted a possible overestimation, the surveillance error grid analysis showed that this glucose meter can be used safely. We proved that portable glucose meters are not always reliable in routinely clinical settings.
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Affiliation(s)
- Alessio Mancini
- School of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy
- ASUR MARCHE AV2, O.U. Clinical Pathology, Via Cellini, 1, Senigallia (AN), Italy
- Alessio Mancini, ASUR MARCHE AV2, O.U. Clinical Pathology, Via Cellini, 1, Senigallia (AN), 60019, Italy.
| | - Giampaolo Esposto
- Scuola di Specializzazione in Microbiologia e Virologia, Università degli Studi di Pisa, Lungarno Pacinotti, Pisa, Italy
| | - Silvana Manfrini
- Diabetology and Clinical Nutrition, Via Cellini, Senigallia, Italy
| | - Silvia Rilli
- Diabetology and Clinical Nutrition, Via Cellini, Senigallia, Italy
| | - Gessica Tinti
- Diabetology and Clinical Nutrition, Via Cellini, Senigallia, Italy
| | - Giuseppe Carta
- ASUR MARCHE AV2, O.U. Clinical Pathology, Via Cellini, 1, Senigallia (AN), Italy
| | - Laura Petrolati
- ASUR MARCHE AV2, O.U. Clinical Pathology, Via Cellini, 1, Senigallia (AN), Italy
| | - Matteo Vidali
- Servizio di Immunoematologia e Medicina Trasfusionale, Ospedale SS. Trinità, Borgomanero, Italy
| | - Simone Barocci
- ASUR MARCHE AV2, O.U. Clinical Pathology, Via Cellini, 1, Senigallia (AN), Italy
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50
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De Mauri A, Vidali M, Chiarinotti D, Bellomo G, Rolla R. Lipoprotein-associated phospholipase A2 predicts cardiovascular events in dialyzed patients. J Nephrol 2018; 32:283-288. [DOI: 10.1007/s40620-018-0521-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Accepted: 07/30/2018] [Indexed: 12/26/2022]
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