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  1. Article ; Online: Correction to: Sex differences in a cohort of COVID-19 Italian patients hospitalized during the first and second pandemic waves.

    Quaresima, Virginia / Scarpazza, Cristina / Sottini, Alessandra / Fiorini, Chiara / Signorini, Simona / Delmonte, Ottavia Maria / Signorini, Liana / Quiros-Roldan, Eugenia / Imberti, Luisa

    Biology of sex differences

    2021  Volume 12, Issue 1, Page(s) 48

    Language English
    Publishing date 2021-08-20
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2587352-0
    ISSN 2042-6410 ; 2042-6410
    ISSN (online) 2042-6410
    ISSN 2042-6410
    DOI 10.1186/s13293-021-00391-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Sex differences in a cohort of COVID-19 Italian patients hospitalized during the first and second pandemic waves.

    Quaresima, Virginia / Scarpazza, Cristina / Sottini, Alessandra / Fiorini, Chiara / Signorini, Simona / Delmonte, Ottavia Maria / Signorini, Liana / Quiros-Roldan, Eugenia / Imberti, Luisa

    Biology of sex differences

    2021  Volume 12, Issue 1, Page(s) 45

    Abstract: ... and during the first and second COVID-19 waves.: Results: The mean age at the time ... data were collected in 1000 COVID-19 patients (367 females and 633 males), 500 hospitalized ... specific variations of demographic, clinical, and laboratory features of COVID-19 patients referred ...

    Abstract Background: Coronavirus disease 2019 (COVID-19) severity seems to be influenced by genetic background, sex, age, and presence of specific comorbidities. So far, little attention has been paid to sex-specific variations of demographic, clinical, and laboratory features of COVID-19 patients referred to the same hospital in the two consecutive pandemic waves.
    Methods: Demographic, clinical, and laboratory data were collected in 1000 COVID-19 patients (367 females and 633 males), 500 hospitalized in the first wave and 500 in the second one, at the ASST Spedali Civili of Brescia from March to December 2020. Statistical analyses have been employed to compare data obtained in females and males, taking into account their age, and during the first and second COVID-19 waves.
    Results: The mean age at the time of hospitalization was similar in females and males but was significantly higher for both in the second wave; the time elapsed from symptom onset to hospital admission did not differ between sexes in the two waves, and no correlation was observed between delayed hospital admission and length of hospitalization. The number of multi-symptomatic males was higher than that of females, and patients with a higher number of comorbidities were more frequently admitted to intensive care unit (ICU) and more frequently died. Older males remained in the ICU longer than females and showed a longer disease duration, mainly the first wave. The highest levels of white blood cells, neutrophils, C-reactive protein, and fibrinogen were significantly higher in males and in the first, and along with higher levels of D-dimer, ferritin, lactate dehydrogenase, and procalcitonin which were preferentially documented in patients requiring ICU or died. While the rate of death in ICU was higher in males, the overall death rate did not differ between the sexes; however, the deceased women were older.
    Conclusions: These data indicate that once patients were hospitalized, the risk of dying was similar between females and males. Therefore, future studies should aim at understanding the reasons why, for a given number of SARS-CoV-2 infections, fewer females develop the disease requiring hospitalization.
    Highlights: Although the hospitalized males were significantly more, the similar number of hospitalizations of the > 75-year-old females and males could be due to the fact that in Brescia province, elderly women are about twice as many as men. Although males spent more days in the hospital, had a longer disease duration, developed a critical illness more frequently, and were admitted and died in the ICU more than females, the total rate of deaths among patients was not significantly different between sexes. Overall, the most frequent comorbidities were cardiovascular diseases, which were preferentially seen among patients hospitalized in the second wave; it is possible that the knowledge gained in the first wave concerning the association between certain comorbidities and worse disease evolution has guided the preferential hospitalization of patients with these predominant comorbidities.
    MeSH term(s) Aged ; COVID-19/mortality ; Female ; Hospitalization/statistics & numerical data ; Humans ; Italy/epidemiology ; Male ; Middle Aged ; Retrospective Studies ; Sex Characteristics
    Language English
    Publishing date 2021-08-11
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2587352-0
    ISSN 2042-6410 ; 2042-6410
    ISSN (online) 2042-6410
    ISSN 2042-6410
    DOI 10.1186/s13293-021-00386-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Sex differences in a cohort of COVID-19 Italian patients hospitalized during the first and second pandemic waves

    Virginia Quaresima / Cristina Scarpazza / Alessandra Sottini / Chiara Fiorini / Simona Signorini / Ottavia Maria Delmonte / Liana Signorini / Eugenia Quiros-Roldan / Luisa Imberti

    Biology of Sex Differences, Vol 12, Iss 1, Pp 1-

    2021  Volume 11

    Abstract: ... and during the first and second COVID-19 waves. Results The mean age at the time of hospitalization ... were collected in 1000 COVID-19 patients (367 females and 633 males), 500 hospitalized in the first ... specific variations of demographic, clinical, and laboratory features of COVID-19 patients referred ...

    Abstract Abstract Background Coronavirus disease 2019 (COVID-19) severity seems to be influenced by genetic background, sex, age, and presence of specific comorbidities. So far, little attention has been paid to sex-specific variations of demographic, clinical, and laboratory features of COVID-19 patients referred to the same hospital in the two consecutive pandemic waves. Methods Demographic, clinical, and laboratory data were collected in 1000 COVID-19 patients (367 females and 633 males), 500 hospitalized in the first wave and 500 in the second one, at the ASST Spedali Civili of Brescia from March to December 2020. Statistical analyses have been employed to compare data obtained in females and males, taking into account their age, and during the first and second COVID-19 waves. Results The mean age at the time of hospitalization was similar in females and males but was significantly higher for both in the second wave; the time elapsed from symptom onset to hospital admission did not differ between sexes in the two waves, and no correlation was observed between delayed hospital admission and length of hospitalization. The number of multi-symptomatic males was higher than that of females, and patients with a higher number of comorbidities were more frequently admitted to intensive care unit (ICU) and more frequently died. Older males remained in the ICU longer than females and showed a longer disease duration, mainly the first wave. The highest levels of white blood cells, neutrophils, C-reactive protein, and fibrinogen were significantly higher in males and in the first, and along with higher levels of D-dimer, ferritin, lactate dehydrogenase, and procalcitonin which were preferentially documented in patients requiring ICU or died. While the rate of death in ICU was higher in males, the overall death rate did not differ between the sexes; however, the deceased women were older. Conclusions These data indicate that once patients were hospitalized, the risk of dying was similar between females and males. Therefore, ...
    Keywords COVID-19 ; Sex-related differences ; Pandemic wave(s) ; Intensive care unit (ICU) ; SARS-CoV-2 ; Medicine ; R ; Physiology ; QP1-981
    Subject code 590
    Language English
    Publishing date 2021-08-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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