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1.
Clin Rheumatol ; 35(11): 2835-2839, 2016 Nov.
Article in English | MEDLINE | ID: mdl-27315242

ABSTRACT

Non-traumatic musculoskeletal complaints are often dealt with by emergency room (ER) physicians. We aimed to quantify how many patients with such complaints have conditions requiring immediate recognition and treatment, versus specialist referral, versus primary care. We retrieved the clinical records of all the patients admitted to the ER department of our hospital along 1 year. Pediatric (age <14 years) and obstetrics/gynecology cases were excluded. Data from all patients visiting the ER for non-traumatic musculoskeletal complaints were classified as follows: true emergencies (i.e., conditions associated with high morbidity/mortality risk), urgencies (i.e., conditions requiring prompt referral to a specialist), and non-urgent conditions (to be dealt with in primary care). Out of 54,915 patients evaluated in the ER of our hospital, 1652 patients complained of non-traumatic musculoskeletal symptoms (3.0 %): Back pain accounted for 944/1652 ER visits (57.1 %), including 6 emergencies (0.6 %) and 105 urgent conditions (11.1 %). Among the remaining 708 patients (42.9 %) who presented with complaints concerning a peripheral joint, true emergencies were 2/708 (0.3 %) while 210/708 were urgent conditions (29.7 %). Although patients who present to ER physicians with musculoskeletal complaints have rarely true emergencies, many of them are in need of urgent treatment and prompt specialist referral.


Subject(s)
Emergency Service, Hospital , Musculoskeletal Diseases/therapy , Primary Health Care , Adolescent , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Symptom Assessment , Young Adult
2.
Biochem Med (Zagreb) ; 25(3): 421-9, 2015.
Article in English | MEDLINE | ID: mdl-26527485

ABSTRACT

INTRODUCTION: The aim of this study was to identify clinical variables which may be independently associated with positivity of a cardiac troponin I (cTnI) assay in a large population of patients admitted to the emergency department (ED). MATERIALS AND METHODS: 3166 subjects, with at least two troponin I tests ordered within 6 hours in the ED, were studied. Patient data were statistically analyzed to identify clinical associations with increased values of Troponin I. RESULTS: Although patients with diagnosis of acute coronary syndrome displayed troponin I values significantly higher than those of other groups, positivity to troponin I (>40 ng/L) was also observed in patients with other clinical conditions. In multivariate analysis, age, elevated heart rate and electrocardiographic changes were independently associated with troponin I positivity at admission. In the whole study population troponin I positivity exhibited high sensitivity and negative predictive value, counterbalanced by low specificity and limited positive predictive value. CONCLUSIONS: Troponin I positivity should be combined with history and clinical evaluation and cautiously interpreted in the ED, especially in patients exhibiting factors associated with higher troponin I levels such as older age, elevated heart rate or ECG changes.


Subject(s)
Acute Coronary Syndrome/blood , Emergency Service, Hospital/statistics & numerical data , Troponin I/blood , Acute Coronary Syndrome/diagnosis , Age Factors , Aged , Cardiovascular Diseases/blood , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/epidemiology , Chest Pain/etiology , Coronary Angiography , Diabetes Mellitus/epidemiology , Diagnosis, Differential , Digestive System Diseases/blood , Digestive System Diseases/diagnosis , Electrocardiography , Female , Hematologic Tests/statistics & numerical data , Humans , Italy , Male , Patient Admission/statistics & numerical data , Predictive Value of Tests , Respiration Disorders/blood , Respiration Disorders/diagnosis , Retrospective Studies , Risk Factors , Sensitivity and Specificity , Single-Blind Method
3.
Cancer ; 116(9): 2188-200, 2010 May 01.
Article in English | MEDLINE | ID: mdl-20198709

ABSTRACT

BACKGROUND: Although serum beta-2 microglobulin (B2M) represents a key variable for symptomatic multiple myeloma (MM) prognostication, its role in predicting the risk of progression of asymptomatic MM to symptomatic disease has not been explored. METHODS: This study was bases on a consecutive series of 148 patients with asymptomatic MM and explored the cumulative probability of progression to symptomatic MM as the primary endpoint. RESULTS: In univariate analysis, a serum B2M level >2.5 mg/L was associated with an increased probability of disease progression (5-year risk, 64.5%; P < .001) along with serum monoclonal component (sMC) (P < .001), urinary monoclonal component (uMC) (P < .001), and bone marrow plasma cells (BMPCs) (P < .001). In multivariate analysis, serum B2M was selected as an independent predictor of progression (hazard ratio, 3.30; P = .002). Serum B2M was combined with sMC, uMC, and BMPC to create a risk-stratification model based on 4 groups with different risk of progression: very low (5-year risk, 0%), low-intermediate (5-year risk, 19.6%), high-intermediate (5-year risk, 60.7%), and high (5-year risk, 80.7%). The model that included serum B2M along with sMC, uMC, and BMPC was able to predict disease progression better than the model that was based on sMC, uMC, and BMPC without serum B2M (C statistics, 0.760 vs 0.726). CONCLUSIONS: The current results indicated that 1) serum B2M is an independent predictor of asymptomatic MM progression, and 2) serum B2M adds prognostic information when combined with the most widely used prognosticators of asymptomatic MM progression.


Subject(s)
Multiple Myeloma/blood , beta 2-Microglobulin/analysis , Aged , Disease Progression , Female , Humans , Male , Middle Aged , Prognosis , Risk Factors
4.
Br J Haematol ; 146(1): 64-75, 2009 Jun.
Article in English | MEDLINE | ID: mdl-19438485

ABSTRACT

Monoclonal B-cell lymphocytosis (MBL) is an asymptomatic monoclonal expansion of <5.0 x 10(9)/l circulating CLL-phenotype B-cells. The relationship between MBL and Rai 0 CLL, as well as the impact of biological risk factors on MBL prognosis, are unknown. Out of 460 B-cell expansions with CLL-phenotype, 123 clinical MBL (cMBL) were compared to 154 Rai 0 CLL according to clinical and biological profile and outcome. cMBL had better humoral immune capacity and lower infection risk, lower prevalence of del11q22-q23/del17p13 and TP53 mutations, slower lymphocyte doubling time, and longer treatment-free survival. Also, cMBL diagnosis was a protective factor for treatment risk. Despite these favourable features, all cMBL were projected to progress, and lymphocytes <1.2 x 10(9)/l and >3.7 x 10(9)/l were the best thresholds predicting the lowest and highest risk of progression to CLL. Although IGHV status, CD38 and CD49d expression, and fluorescence in situ hybridization (FISH) karyotype individually predicted treatment-free survival, multivariate analysis identified the presence of +12 or del17p13 as the sole independent predictor of treatment requirement in cMBL (Hazard ratio: 5.39, 95% confidence interval 1.98-14.44, P = 0.001). Overall, these data showed that cMBL has a more favourable clinical course than Rai 0 CLL. Given that the biological profile can predict treatment requirement, stratification based on biological prognosticators may be helpful for cMBL management.


Subject(s)
B-Lymphocytes , Leukemia, Lymphocytic, Chronic, B-Cell , Lymphocytosis , Aged , Biomarkers, Tumor/analysis , Complementarity Determining Regions/genetics , Disease Progression , Disease-Free Survival , Female , Flow Cytometry/methods , Follow-Up Studies , Gene Deletion , Gene Rearrangement , Genes, p53 , Humans , Immunoglobulin Heavy Chains/genetics , Immunoglobulin Variable Region/genetics , In Situ Hybridization, Fluorescence/methods , Leukemia, Lymphocytic, Chronic, B-Cell/genetics , Leukemia, Lymphocytic, Chronic, B-Cell/immunology , Leukemia, Lymphocytic, Chronic, B-Cell/mortality , Lymphocytosis/genetics , Lymphocytosis/immunology , Lymphocytosis/mortality , Male , Middle Aged , Multigene Family , Mutation , Prognosis , Proportional Hazards Models , Survival Rate
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