Michela Luciani

Dr. Michela Luciani

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
15 July 2015 in American Journal of Hematology
Verified
Journal Article
Open access
PDF file
SMSilvia Mori
Silvia Mori
EVElisabetta Vagge
Elisabetta Vagge
PCPhilipp le Coutre
Philipp le Coutre
Elisabetta AbruzzeseElisabetta Abruzzese
Elisabetta Abruzzese
BMBruno Martino
Bruno Martino
CGCarlo Gambacorti‐Passerini
Carlo Gambacorti‐Passerini
Imatinib is effective for the treatment of chronic myeloid leukemia (CML). However even undetectable BCR‐ABL1 by Q‐RT‐PCR does not equate to eradication of the disease. Digital‐PCR (dPCR), able to detect 1 BCR‐ABL1 positive cell out of 107, has been recently developed. The ISAV study is a multicentre trial aimed at validating dPCR to predict relapses after imatinib discontinuation in CML patients with undetectable Q‐RT‐PCR. CML patients under imatinib therapy since more than 2 years and with undetectable PCR for at least 18 months were eligible. Patients were monitored by standard Q‐RT‐PCR for 36 months. Patients losing molecular remission (two consecutive positive Q‐RT‐PCR with at least 1 BCR‐ABL1/ABL1 value above 0.1%) resumed imatinib. The study enrolled 112 patients, with a median follow‐up of 21.6 months. Fifty‐two of the 108 evaluable patients (48.1%), relapsed; 73.1% relapsed in the first 9 months but 14 late relapses were observed between 10 and 22 months. Among the 56 not‐relapsed patients, 40 (37.0% of total) regained Q‐RT‐PCR positivity but never lost MMR. dPCR results showed a significant negative predictive value ratio of 1.115 [95% CI: 1.013–1.227]. An inverse relationship between patients age and risk of relapse was evident: 95% of patients <45 years relapsed versus 42% in the class ≥45 to <65 years and 33% of patients ≥65 years [P(χ2) < 0.0001]. Relapse rates ranged between 100% (45 years, dPCR‐). Imatinib can be safely discontinued in the setting of continued PCR negativity; age and dPCR results can predict relapse. Am. J. Hematol. 90:910–914, 2015.

16 October 2017 in BMC Endocrine Disorders
Verified
Journal Article
Open access
PDF file
DADavide Ausili
Davide Ausili
Claudio BarbaranelliClaudio Barbaranelli
Claudio Barbaranelli
EREmanuela Rossi
Emanuela Rossi
PRPaola Rebora
Paola Rebora
DFDiletta Fabrizi
Diletta Fabrizi
BRBarbara Riegel
Barbara Riegel
Self-care is essential for patients with diabetes mellitus. Both clinicians and researchers must be able to assess the quality of that self-care. Available tools have various limitations and none are theoretically based. The aims of this study were to develop and to test the psychometric properties of a new instrument based on the middle range-theory of self-care of chronic illness: the Self-Care of Diabetes Inventory (SCODI). Forty SCODI items (5 point Likert type scale) were developed based on clinical recommendations and grouped into 4 dimensions: self-care maintenance, self-care monitoring, self-care management and self-care confidence based on the theory. Content validity was assessed by a multidisciplinary panel of experts. A multi-centre cross-sectional study was conducted in a consecutive sample of 200 type 1 and type 2 diabetes patients. Dimensionality was evaluated by exploratory factor analyses. Multidimensional model based reliability was estimated for each scale. Multiple regression models estimating associations between SCODI scores and glycated haemoglobin (HbA1c), body mass index, and diabetes complications, were used for construct validity. Content validity ratio was 100%. A multidimensional structure emerged for the 4 scales. Multidimensional model-based reliabilities were between 0.81 (maintenance) and 0.89 (confidence). Significant associations were found between self-care maintenance and HbA1c (p = 0.02) and between self-care monitoring and diabetes complications (p = 0.04). Self-care management was associated with BMI (p = 0.004) and diabetes complications (p = 0.03). Self-care confidence was a significant predictor of self-care maintenance, monitoring and management (all p < 0.0001). The SCODI is a valid and reliable theoretically-grounded tool to measure self-care in type 1 and type 2 DM patients.

1 January 2022 in Journal of Pediatric Nursing
Verified
Journal Article
Closed access
LMLORENZO MONTALI
LORENZO MONTALI
EZEdoardo Zulato
Edoardo Zulato
MCMattia Cornara
Mattia Cornara
DADavide Ausili
Davide Ausili
MLMichela Luciani
Michela Luciani

5 April 2018 in Acta Diabetologica
Verified
Journal Article
Closed access
PDF file
DADavide Ausili
Davide Ausili
EREmanuela Rossi
Emanuela Rossi
PRPaola Rebora
Paola Rebora
MLMichela Luciani
Michela Luciani
LTLuca Tonoli
Luca Tonoli
SMStefania Di Mauro
Stefania Di Mauro

28 March 2022 in BMC Public Health
Verified
Journal Article
Open access
PDF file
MLMichela Luciani
Michela Luciani
MMMaddalena De Maria
Maddalena De Maria
SPShayleigh Dickson Page
Shayleigh Dickson Page
CBClaudio Barbaranelli
Claudio Barbaranelli
DADavide Ausili
Davide Ausili
BRBarbara Riegel
Barbara Riegel
Background: Self-care is important at all stages of life and health status to promote well-being, prevent disease, and improve health outcomes. Currently, there is a need to better conceptualize self-care in the general adult population and provide an instrument to measure self-care in this group. Therefore, the aim of this study was to develop and evaluate the Self-Care Inventory (SCI), a theory-based instrument to measure self-care in the general adult population. Methods: Based on the Middle Range Theory of Self-Care, the 20-item SCI was developed with three scales: Self-Care Maintenance (8 items), Self-Care Monitoring (6 items), and Self-Care Management (6 items). A cross sectional study with a US-based sample (n = 294) was conducted to test the SCI. Internal validity was assessed with Confirmatory Factor Analysis. Internal consistency reliability was assessed with Cronbach alpha for unidimensional scales or composite reliability and the global reliability index for multidimensional scales. Construct validity was investigated with Pearson correlation to test the relationship between general self-efficacy, positivity, stress, and self-care scores. Results: The Self-Care Maintenance and Management scales were multidimensional and the Self-Care Monitoring scale was unidimensional. The global reliability index for multidimensional scales was 0.85 (self-care maintenance) and 0.88 (self-care management). Cronbach alpha coefficient of the self-care monitoring scale was 0.88. Test-retest reliability was 0.81 (self-care maintenance), 0.91 (self-care monitoring), and 0.76 (self-care management). The General Self-Efficacy Scale was positively related to all three self-care scale scores: self-care maintenance r = 0.46, p < 0. 001, self-care monitoring r = 0.31, p < 0. 001, and self-care management r = 0.32, p < 0. 001. The positivity score was positively related to self-care maintenance (r = 0.42, p < 0. 001), self-care monitoring (r = 0.29, p < 0. 001), and self-care management (r = 0.34, p < 0. 001) scores. The perceived stress was positively related to the self-care management (r = 0.20, p < 0. 001) score. Conclusions: The SCI is a theoretically based instrument designed to measure self-care in the general adult population. Preliminary evidence of validity and reliability supports its use in the general adult population.

23 September 2021 in Journal of Personalized Medicine
Verified
Journal Article
Open access
PDF file
MCMarco Clari
Marco Clari
MLMichela Luciani
Michela Luciani
Alessio ContiAlessio Conti
Alessio Conti
Veronica SciannameoVeronica Sciannameo
Veronica Sciannameo
Paola BerchiallaPaola Berchialla
Paola Berchialla
VDValerio Dimonte
Valerio Dimonte
The COVID-19 pandemic has had a severe impact on nursing care. This cross-sectional survey-based study compared aspects of nursing care and nurses’ satisfaction with care provided before and during the first wave of the COVID-19 pandemic. A total of 936 registered nurses (RNs) rated the frequency with which they performed fundamental care, nursing techniques, patient education, symptom management, and nurse–patient relationships before and during the pandemic. A recursive partitioning for ordered multivariate response in a conditional inference framework approach was applied. More frequent fundamental cares were associated with their frequency before the pandemic (p < 0.001), caring for COVID-19 patients (p < 0.001), and workplace reassignment (p = 0.004). Caring for COVID-19 patients (p < 0.001), workplace reassignment (p = 0.030), and caring for ≤7.4 COVID-19 patients (p = 0.014) increased nursing techniques. RNs in high-intensity COVID-19 units (p = 0.002) who educated patients before the pandemic, stopped this task. RNs caring for COVID-19 patients reported increased symptom management (p < 0.001), as did RNs caring for more non-COVID-19 patients (p = 0.037). Less frequent nurse–patient relationships before the pandemic and working in high-intensity COVID-19 units decreased nurse–patient relationships (p = 0.002). Despite enormous challenges, nurses continued to provide a high level of care. Ensuring the appropriate deployment and education of nurses is crucial to personalize care and to maintain nurses’ satisfaction with the care provided.