Clinical factors associated with death in 3044 COVID-19 patients managed in internal medicine wards in Italy: comment

Mannucci, Pier Mannuccio; Bòsari, Silvano; Scudeller, Luigia; Fusetti, Giuliana; Rusconi, Laura; Dell’Orto, Silvia; Prati, Daniele; Valenti, L.; Giovannelli, Silvia; Manunta, Maria; Lamorte, Giuseppe; Ferrari, Francesca; Gori, Andrea; Bandera, Alessandra; Muscatello, Antonio; Mangioni, Davide; Alagna, Laura; Bozzi, Giorgio; Lombardi, Andrea; Ungaro, Riccardo; Ancona, Giuseppe; Zuglian, Gianluca; Bolis, Matteo; Iannotti, Nathalie; Ludovisi, Serena; Comelli, Agnese; Renisi, Giulia; Biscarini, Simona; Castelli, Valeria; Palomba, Emanuele; Fava, Marco; Fortina, Valeria; Peri, Carlo Alberto; Saltini, Paola; Viero, Giulia; Itri, Teresa; Ferroni, Valentina; Pastore, Valeria; Massafra, Roberta; Liparoti, Arianna; Muheberimana, Toussaint; Giommi, Alessandro; Bianco, Rosaria; Azevedo, Rafaela Montalvao De; Chitani, Grazia Eliana; Peyvandi, Flora; Gualtierotti, Roberta; Ferrari, Barbara; Rossio, Raffaella; Boasi, Nadia; Pagliaro, Erica; Massimo, Costanza; De, Michele; Montano, Nicola; Vigone, Barbara; Bellocchi, Chiara; Carandina, Angelica; Fiorelli, Elisa Maria; Melli, Valerie; Tobaldini, Eleonora; Blasi, Francesco; Aliberti, Stefano; Spotti, M.; Terranova, Leonardo; Misuraca, Sofia; D’Adda, Alice; Fiore, Silvia Della; Pasquale, Marta Di; Contarini, Marco; Ori, Margherita; Morlacchi, Letizia Corinna; Rossetti, V.; Gramegna, Andrea; Pappalettera, Maria; Cavallini, Mirta; Buscemi, Agata; Vicenzi, Marco; Rota, Irena; Costantino, Giorgio; Solbiati, Monica; Furlan, Ludovico; Mancarella, Marta; Colombo, Giulia; Colombo, G; Fanin, Alice; Passarella, Mariele; Monzani, Valter; Canetta, Ciro; Rovellini, A.; Barbetta, Laura; Billi, Filippo; Folli, Christian; Accordino, Silvia; Maira, Diletta; Hu, Cinzia; Motta, Irene; Scaramellini, Natalia; Fracanzani, Anna Ludovica; Lombardi, Rosa; Cespiati, Annalisa; Cesari, Matteo; Lucchi, Tiziano; Proietti, Marco; Calcaterra, Laura; Mandelli, C.; Coppola, Carlotta; Cerizza, Arturo; Pesenti, Antonio; Grasselli, Giacomo; Galazzi, Alessandro; Nobili, Alessandro; Tettamanti, Mauro; Monti, Igor; Galbussera, Alessia Antonella; Crisafulli, Ernesto; Girelli, Domenico; Maroccia, Alessio; Gabbiani, Daniele; Busti, Fabiana; Vianello, Alice; Biondan, Marta; Sartori, Filippo; Faverio, Paola; Pesci, Alberto; Zucchetti, Stefano; Bonfanti, Paolo; Rossi, Marianna; Beretta, Ilaria; Spolti, Anna; Harari, Sergio; Elia, Davide; Cassandro, Roberto; Caminati, Antonella; Cipollone, Francesco; Guagnano, Maria Teresa; D’Ardes, Damiano; Rossi, Ilaria; Vezzani, Francesca; Spanevello, Antonio; Cherubino, Francesca; Visca, Dina; Contoli, Marco; Papi, Alberto; Morandi, Luca; Battistini, Nicholas; Moreo, G.; Iannuzzi, Pasqualina; Fumagalli, Daniele; Leone, Sara

doi:10.1007/s11739-021-02797-7

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…If the overall risk of in-hospital death was low (OR 0.84, 0.57–1.25), in patients undergoing NIV the risk appears significant (OR 4.31, 2.69–6.89). It is worth noting that a high respiratory rate at admission has a significant correlation with the risk of death ( p value ≤ 0.001, OR = 1.13, 95% CI) [ 51 ]. Moreover, during the prospective one-day observational, WARd-COVID [ 52 ] described the data of 909 patients who underwent NIV out of intensive care, and found that 778 patients (85%) were treated with CPAP (of them 68% used a helmet as an interface).…”

Section: Discussionmentioning

confidence: 99%

Respiratory Monitoring at Bedside in COVID-19 Patients

Giustivi

Bottazzini

Belliato

2021

JCM

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The SARS-CoV-2 (COVID-19) pandemic has forced some reflections to be had surrounding the ventilatory support to be applied to certain types of patients. The model of two phenotypes, set out by Professor Gattinoni and colleagues, suggests that adequate monitoring of respiratory effort may play a key role in the treatment of respiratory failure due to COVID-19. An insufficient control of the patient’s respiratory efforts could lead to an aggravation of lung damage, mainly due to the possibility of generating Patient Self-Inflicted Lung Injury (PSILI) with a consequent aggravation of the pathological picture. Nevertheless, effectively monitoring the patient’s respiratory work, especially in nonintensive settings, is not easy. This article briefly describes some methods that allow the assessment of respiratory effort, such as the use of ultrasound and respiratory tests, which can be performed in nonintensive settings.

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Section: Discussionmentioning

confidence: 99%

Respiratory Monitoring at Bedside in COVID-19 Patients

Giustivi

Bottazzini

Belliato

2021

JCM

View full text Add to dashboard Cite

show abstract

“…Overall, comparison among these studies is made difficult by the heterogeneous inclusion criteria and admission modalities, reflecting in different results, despite similar patient age ranges. For example, according to Bandera et al [ 15 ], the number of comorbidities and specific diseases (i.e., cancer, chronic heart failure, dementia and diabetes) were related to in-hospital mortality, while Leidi et al [ 14 ] did not find any association between survival and specific diseases. In the study by Ughi et al [ 16 ], the hazard ratio for mortality markedly increased with increasing Charlson comorbidity index.…”

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confidence: 99%