Michela Campigli

Dr. Michela Campigli

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Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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14 March 2023 in Animals
Verified
Journal Article
Open access
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Ines TestoniInes Testoni
Ines Testoni
Ciro De VincenzoCiro De Vincenzo
Ciro De Vincenzo
MCMichela Campigli
Michela Campigli
AMAljosha Caregnato Manzatti
Aljosha Caregnato Manzatti
LRLucia Ronconi
Lucia Ronconi
SUStefania Uccheddu
Stefania Uccheddu
Witnessing a companion animal’s death can be a stressful psychological experience for human guardians, affecting their ability to grieve. The veterinary and psychological sciences offer useful tools for supporting human guardians during their companion animal’s terminal illness. Accordingly, the present study aimed to validate the HHHHMM Quality of Life Scale in the Italian context. The study followed a mixed-methods design and involved 314 participants. The Mourning Dog Questionnaire (MDQ), Lexington Attachment to Pets Scale (LAPS), Pet Bereavement Questionnaire (PBQ), and open-ended questions were adopted to test the research hypotheses and qualitatively explore the grieving experience. The results showed that the model’s fit was partially adequate, with all parameters being significant and over 0.40. Moreover, human guardians’ anger levels were high when their companion animal’s quality of life was poor, and greater levels of grief were associated with higher levels of attachment. Gender differences were observed only with the LAPS, and a negative correlation with age was found with the LAPS and PBQ. A thematic qualitative analysis revealed four themes: continuing bonds, coping strategies, shared moral values, and perceived support. Thus, the research reaffirmed the importance of adequate veterinary and psychological support for human guardians experiencing the loss of companion animals.

12 May 2020 in Veterinary and Comparative Oncology
Verified
Journal Article
Closed access
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LMLaura Marconato
Laura Marconato
SSSilvia Sabattini
Silvia Sabattini
JBJulia Buchholz
Julia Buchholz
GPGerry Polton
Gerry Polton
RFRiccardo Finotello
Riccardo Finotello
CBCarla Rohrer Bley
Carla Rohrer Bley

22 October 2024 in Veterinary Sciences
Verified
Journal Article
Open access
PDF file
VPValeria Pantaleo
Valeria Pantaleo
Tommaso FurlanelloTommaso Furlanello
Tommaso Furlanello
MCMichela Campigli
Michela Campigli
Laura VenturaLaura Ventura
Laura Ventura
LSLaia Solano-Gallego
Laia Solano-Gallego
Various inflammatory and renal biomarkers have already been assessed for monitoring the response to anti-leishmanial therapy in canine leishmaniosis. This study assessed the parasite load, various inflammatory and renal biomarkers pre- and post-treatment, and any association between the studied variables and the degree of disease severity at diagnosis. This is a prospective cohort study of 30 client-owned dogs with leishmaniosis, classified according to LeishVet’s guidelines as stage I (n = 2), stage IIa (n = 7), stage IIb (n = 6), stage III (n = 8), and stage IV (n = 7). In addition to Leishmania real-time PCR in the bone marrow, blood and urine, previously studied biomarkers, and several inflammatory and renal markers never investigated in canine leishmaniosis, such as fibrinogen, antithrombin, urinary fractional excretion of sodium, and urinary amylase-to-creatinine ratio were measured pre- and post-treatment (meglumine antimoniate or miltefosine + allopurinol). A positive Leishmania real-time PCR in the blood at diagnosis predicted a positive Leishmania real-time PCR in the bone marrow post-treatment (p = 0.003). Following treatment, antithrombin and urinary amylase-to-creatinine ratio were significantly changed (p < 0.001, respectively). Urinary amylase-to-creatinine ratio, total iron-binding capacity, and antithrombin were the variables most strongly associated with disease severity (p < 0.005, respectively). Urinary amylase-to-creatinine ratio can be a useful marker to monitor treatment response and to classify the degree of disease severity.