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10.1002/dmrr.3354

http://scihub22266oqcxt.onion/10.1002/dmrr.3354
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32484298!7300447!32484298
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suck abstract from ncbi


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pmid32484298      Diabetes+Metab+Res+Rev 2021 ; 37 (1): e3354
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  • Neck circumference as reliable predictor of mechanical ventilation support in adult inpatients with COVID-19: A multicentric prospective evaluation #MMPMID32484298
  • Di Bella S; Cesareo R; De Cristofaro P; Palermo A; Sanson G; Roman-Pognuz E; Zerbato V; Manfrini S; Giacomazzi D; Dal Bo E; Sambataro G; Macchini E; Quintavalle F; Campagna G; Masala R; Ottaviani L; Del Borgo C; Ridola L; Leonetti F; Berlot G; Luzzati R
  • Diabetes Metab Res Rev 2021[Jan]; 37 (1): e3354 PMID32484298show ga
  • AIMS: COVID-19 is especially severe for elderly subjects with cardiometabolic and respiratory comorbidities. Neck circumference (NC) has been shown to be strongly related to cardiometabolic and respiratory illnesses even after adjustment for body mass index (BMI). We performed a prospective study to investigate the potential of NC to predict the need for invasive mechanical ventilation (IMV) in adult COVID-19 inpatients. MATERIALS AND METHODS: We prospectively and consecutively enrolled COVID-19 adult patients admitted to dedicated medical wards of two Italian hospitals from 25 March to 7 April 2020. On admission, clinical, biochemical and anthropometric data, including BMI and NC were collected. As primary outcome measure, the maximum respiratory support received was evaluated. Follow-up time was 30 days from hospital admission. RESULTS: We enrolled 132 subjects (55.0-75.8 years, 32% female). During the study period, 26 (19.7%) patients underwent IMV. In multivariable logistic regression analyses, after adjusting for age, sex, diabetes, hypertension and COPD, NC resulted independently and significantly associated with IMV risk (adjusted OR 1.260-per 1 cm increase 95% CI:1.120-1.417; P < .001), with a stronger association in the subgroup with BMI 40.5 cm (>37.5 for females and >42.5 for males) showed a higher and earlier IMV risk compared to subjects with lower NC (Log-rank test: P < .001). CONCLUSIONS: NC is an easy to measure parameter able to predict the need for IMV in adult COVID-19 inpatients.
  • |Adult[MESH]
  • |Aged[MESH]
  • |COVID-19/epidemiology/*mortality/therapy/virology[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Italy/epidemiology[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Neck/*pathology[MESH]
  • |Predictive Value of Tests[MESH]
  • |Prospective Studies[MESH]
  • |Respiration, Artificial/*statistics & numerical data[MESH]
  • |SARS-CoV-2/*isolation & purification[MESH]


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