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1. Phenotyping congestion in patients with acutely decompensated heart failure with preserved and reduced ejection fraction: The Decongestion duRing therapY for acute decOmpensated heart failure in HFpEF vs HFrEF- DRY-OFF study

Author

Cogliati, C, Ceriani, E, Gambassi, G, De Matteis, G, Perlini, S, Perrone, T, Muiesan, ML, Salvetti, M, Leidi, F, Ferrara, F, Sabbà, C, Suppressa, P, Fracanzani, A, Montano, N, Fiorelli, E, Tripepi, G, Gori, M, Pitino, A, and Pietrangelo, A

Published
2022
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6. Stress and mental health of COVID-19 survivors and their families after hospital discharge: relationship with perceived healthcare staff empathy

Author

Bassi, Marco, Carissoli, Claudia, Tonelli, F., Trombetta, L., Magenta, M., Delle Fave, A., Cogliati, C., Bassi M., Carissoli C. (ORCID:0000-0003-1456-8740), Bassi, Marco, Carissoli, Claudia, Tonelli, F., Trombetta, L., Magenta, M., Delle Fave, A., Cogliati, C., Bassi M., and Carissoli C. (ORCID:0000-0003-1456-8740)

Abstract

Several studies attest to the long-term consequences of COVID-19 infection on survivors’ mental illness, especially in terms of high prevalence of post-traumatic stress disorder (PTSD) 1–3 months after hospitalization. Aims of the present study were (1) to jointly evaluate PTSD and positive mental health among COVID-19 survivors and family members after hospital discharge, and (2) to investigate the relationship between perceived healthcare staff’s relational empathy during hospitalization and survivors’ post-traumatic stress levels. In this cross-sectional study, 60 survivors (Mage = 60.45; 63.3% men) and 40 family members (Mage = 52.33; 60% women) participated in an online survey 3–7 months after hospital discharge. In addition to providing socio-demographic data, they completed PTSD Checklist for DSM-5 and Mental Health Continuum Short Form. Survivors also completed the Consultation and Relational Empathy measure. Percentages of participants meeting a provisional PTSD and mental health diagnosis (flourishing, moderate, languishing) were calculated. A hierarchical regression analysis was performed on survivors’ data, with perceived staff’s empathy as predictor and post-traumatic stress symptoms (PTSS) as outcome. One-fifth of the participants received a provisional PTSD diagnosis, about half were diagnosed with flourishing or moderate mental health, and only 5% were languishing, with no significant between-group differences. Among survivors, a negative association was detected between perceived healthcare staff’s empathy and PTSS, explaining 10.5% of the model variance over and above demographic and clinical variables. Findings highlighted the coexistence of PTSD and positive mental health among survivors and family members, suggesting the usefulness of assessing both negative and positive dimensions of mental health, in order to promote psycho-social adaptation once returning to everyday life. In addition, the role of compassionate c

Published
2023

8. Asymptomatic and symptomatic deep venous thrombosis in hospitalized acutely ill medical patients. risk factors and therapeutic implications

Author

Loffredo L., Vidili G., Sciacqua A., Cogliati C., Di Giulio R., Bernardini S., Ciacci P., Pietrangelo A., Orlando F., Paraninfi A., Boddi M., Di Minno G., Falsetti L., Lodigiani C., Santoliquido A., Ettorre E., Pignatelli P., Arezzo M. F., Gutu E., Harenberg J., Violi F., Casciaro M. A., Morelli S., Accapezzato D., Rossi E., Palumbo I. M., Pannunzio A., Fallarino A., Maggio E., Bocchini V. P., Gioia C., Izzo R., Luongo R., Cosenza M., Bisciglia M. F., Battaglia S., Pirillo L. S., Capozza A., Summa M. L., Armentaro G., Volpentesta M., Rullo R., Baldinia L., Arienti V., Meloni P. L., Sauchella A., Melis S., Berria M., Solinas B., Vilardi L., Sarobba P., Pisanu M., Mangatia P., Cringoli M., Blanca D., Casella F., Vegetti A., Crociani A., Donnarumma E., Pacciani G., Rovereto R., Lunardi S., Tufano A., Pacetti V., Domenicali M., Leopoldo P., Ceci F., Loffredo, L., Vidili, G., Sciacqua, A., Cogliati, C., Di Giulio, R., Bernardini, S., Ciacci, P., Pietrangelo, A., Orlando, F., Paraninfi, A., Boddi, M., Di Minno, G., Falsetti, L., Lodigiani, C., Santoliquido, A., Ettorre, E., Pignatelli, P., Arezzo, M. F., Gutu, E., Harenberg, J., Violi, F., Casciaro, M. A., Morelli, S., Accapezzato, D., Rossi, E., Palumbo, I. M., Pannunzio, A., Fallarino, A., Maggio, E., Bocchini, V. P., Gioia, C., Izzo, R., Luongo, R., Cosenza, M., Bisciglia, M. F., Battaglia, S., Pirillo, L. S., Capozza, A., Summa, M. L., Armentaro, G., Volpentesta, M., Rullo, R., Baldinia, L., Arienti, V., Meloni, P. L., Sauchella, A., Melis, S., Berria, M., Solinas, B., Vilardi, L., Sarobba, P., Pisanu, M., Mangatia, P., Cringoli, M., Blanca, D., Casella, F., Vegetti, A., Crociani, A., Donnarumma, E., Pacciani, G., Rovereto, R., Lunardi, S., Tufano, A., Pacetti, V., Domenicali, M., Leopoldo, P., and Ceci, F.

Subjects
anticoagulants, asymptomatic deep venous thrombosis, compression ultrasound, Anticoagulant, medical patient, Hematology, Asymptomatic deep venous thrombosi, Deep venous thrombosi, deep venous thrombosis
Abstract

Background Acutely ill medical patients experience deep venous thrombosis (DVT) during the hospitalization, however the time course of DVT is still unclear. Objectives To evaluate risk factors in acutely ill hospitalized medical patients for proximal asymptomatic DVT (ADVT) and symptomatic DVT (SDVT) at admission and discharge. Patients/Methods In this prospective observational study, consecutive acutely ill medical patients (hospitalized mainly for acute medical disease as infections, neoplasm, anemia, heart failure) underwent compression ultrasonography (CUS) of proximal lower limb veins within 48 h from admission and at discharge to diagnose ADVT and SDVT. Covid-19 patients, anticoagulant therapy, surgical procedures, acute SDVT, and acute pulmonary embolism, were exclusion criteria. Biographical characteristics at hospitalization, D-Dimer (assessed by ELISA)) and DD-improve score. Results Of 2,100 patients (1002 females, 998 males, age 71 ± 16 years) 58 (2.7%) had proximal ADVT at admission. Logistic regression analysis showed that age, and active cancer were independently associated with ADVT at admission. The median length of hospitalization was 10 days [interquartile range: 6–15]. During the hospital stay, 6 patients (0.3%) with a negative CUS at admission experienced DVT (2 SDVT and 4 ADVT). In the subgroup of patients (n = 1118), in whom D-dimer was measured at admission, D-Dimer and IMPROVE-DD score were associated with ADVT at admission (n = 37) and with all DVT (n = 42) at discharge. ROC curve defined an IMPROVE-DD score of 2.5 as the optimal cut-off for discriminating patients with and without thrombotic events. Conclusions We provide evidence of early development of ADVT in unselected acutely ill medical patients suggesting the need of investigating patients by CUS immediately after hospital admission (within 48 h). Advanced age, active cancer, known thrombophilia and increased IMPROVE-DD score may identify patients at risk. The benefit of anticoagulation needs to be investigated in patients with these specific risk factors and negative CUS at admission. Trial registration NCT03157843.

Published
2022

9. Implications of early respiratory support strategies on disease progression in critical COVID-19: a matched subanalysis of the prospective RISC-19-ICU cohort

Author

Wendel Garcia, P, Aguirre-Bermeo, H, Buehler, P, Alfaro-Farias, M, Yuen, B, David, S, Tschoellitsch, T, Wengenmayer, T, Korsos, A, Fogagnolo, A, Kleger, G, Wu, M, Colombo, R, Turrini, F, Potalivo, A, Rezoagli, E, Rodriguez-Garcia, R, Castro, P, Lander-Azcona, A, Martin-Delgado, M, Lozano-Gomez, H, Ensner, R, Michot, M, Gehring, N, Schott, P, Siegemund, M, Merki, L, Wiegand, J, Jeitziner, M, Laube, M, Salomon, P, Hillgaertner, F, Dullenkopf, A, Ksouri, H, Cereghetti, S, Grazioli, S, Burkle, C, Marrel, J, Fleisch, I, Perez, M, Baltussen Weber, A, Ceruti, S, Marquardt, K, Hubner, T, Redecker, H, Studhalter, M, Stephan, M, Selz, D, Pietsch, U, Ristic, A, Heise, A, Meyer zu Bentrup, F, Franchitti Laurent, M, Fodor, P, Gaspert, T, Haberthuer, C, Colak, E, Heuberger, D, Fumeaux, T, Montomoli, J, Guerci, P, Schuepbach, R, Hilty, M, Roche-Campo, F, Algaba-Calderon, A, Apolo, J, Aslanidis, T, Babik, B, Boroli, F, Brem, J, Brenni, M, Brugger, S, Camen, G, Catena, E, Ceriani, R, Chau, I, Christ, A, Cogliati, C, Concha, P, Delahaye, G, Drvaric, I, Escos-Orta, J, Fabbri, S, Facondini, F, Filipovic, M, Gamez-Zapata, J, Gerecke, P, Gommers, D, Hillermann, T, Ince, C, Jenni-Moser, B, Jovic, M, Jurkolow, G, Klarer, A, Lambert, A, Laurent, J, Lavanchy, J, Lienhardt-Nobbe, B, Locher, P, Losser, M, Lussman, R, Magliocca, A, Margarit, A, Martinez, A, Mauri, R, Mayor-Vazquez, E, Meier, J, Moret-Bochatay, M, Murrone, M, Naon, D, Neff, T, Novy, E, Petersen, L, Pugin, J, Ramelet, A, Rilinger, J, Rimensberger, P, Sepulcri, M, Shaikh, K, Sieber, M, Simonini, M, Spadaro, S, Sridharan, G, Stahl, K, Staudacher, D, Taboada-Fraga, X, Tellez, A, Urech, S, Vitale, G, Vizmanos-Lamotte, G, Welte, T, Zalba-Etayo, B, Zellweger, N, Wendel Garcia P. D., Aguirre-Bermeo H., Buehler P. K., Alfaro-Farias M., Yuen B., David S., Tschoellitsch T., Wengenmayer T., Korsos A., Fogagnolo A., Kleger G. -R., Wu M. A., Colombo R., Turrini F., Potalivo A., Rezoagli E., Rodriguez-Garcia R., Castro P., Lander-Azcona A., Martin-Delgado M. C., Lozano-Gomez H., Ensner R., Michot M. P., Gehring N., Schott P., Siegemund M., Merki L., Wiegand J., Jeitziner M. M., Laube M., Salomon P., Hillgaertner F., Dullenkopf A., Ksouri H., Cereghetti S., Grazioli S., Burkle C., Marrel J., Fleisch I., Perez M. -H., Baltussen Weber A., Ceruti S., Marquardt K., Hubner T., Redecker H., Studhalter M., Stephan M., Selz D., Pietsch U., Ristic A., Heise A., Meyer zu Bentrup F., Franchitti Laurent M., Fodor P., Gaspert T., Haberthuer C., Colak E., Heuberger D. M., Fumeaux T., Montomoli J., Guerci P., Schuepbach R. A., Hilty M. P., Roche-Campo F., Algaba-Calderon A., Apolo J., Aslanidis T., Babik B., Boroli F., Brem J., Brenni M., Brugger S. D., Camen G., Catena E., Ceriani R., Chau I., Christ A., Cogliati C., Concha P., Delahaye G., Drvaric I., Escos-Orta J., Fabbri S., Facondini F., Filipovic M., Gamez-Zapata J., Gerecke P., Gommers D., Hillermann T., Ince C., Jenni-Moser B., Jovic M., Jurkolow G., Klarer A., Lambert A., Laurent J. -C., Lavanchy J., Lienhardt-Nobbe B., Locher P., Losser M. -R., Lussman R. F., Magliocca A., Margarit A., Martinez A., Mauri R., Mayor-Vazquez E., Meier J., Moret-Bochatay M., Murrone M., Naon D., Neff T., Novy E., Petersen L., Pugin J., Ramelet A. -S., Rilinger J., Rimensberger P. C., Sepulcri M., Shaikh K., Sieber M., Simonini M. S., Spadaro S., Sridharan G. O., Stahl K., Staudacher D. L., Taboada-Fraga X., Tellez A., Urech S., Vitale G., Vizmanos-Lamotte G., Welte T., Zalba-Etayo B., Zellweger N., Wendel Garcia, P, Aguirre-Bermeo, H, Buehler, P, Alfaro-Farias, M, Yuen, B, David, S, Tschoellitsch, T, Wengenmayer, T, Korsos, A, Fogagnolo, A, Kleger, G, Wu, M, Colombo, R, Turrini, F, Potalivo, A, Rezoagli, E, Rodriguez-Garcia, R, Castro, P, Lander-Azcona, A, Martin-Delgado, M, Lozano-Gomez, H, Ensner, R, Michot, M, Gehring, N, Schott, P, Siegemund, M, Merki, L, Wiegand, J, Jeitziner, M, Laube, M, Salomon, P, Hillgaertner, F, Dullenkopf, A, Ksouri, H, Cereghetti, S, Grazioli, S, Burkle, C, Marrel, J, Fleisch, I, Perez, M, Baltussen Weber, A, Ceruti, S, Marquardt, K, Hubner, T, Redecker, H, Studhalter, M, Stephan, M, Selz, D, Pietsch, U, Ristic, A, Heise, A, Meyer zu Bentrup, F, Franchitti Laurent, M, Fodor, P, Gaspert, T, Haberthuer, C, Colak, E, Heuberger, D, Fumeaux, T, Montomoli, J, Guerci, P, Schuepbach, R, Hilty, M, Roche-Campo, F, Algaba-Calderon, A, Apolo, J, Aslanidis, T, Babik, B, Boroli, F, Brem, J, Brenni, M, Brugger, S, Camen, G, Catena, E, Ceriani, R, Chau, I, Christ, A, Cogliati, C, Concha, P, Delahaye, G, Drvaric, I, Escos-Orta, J, Fabbri, S, Facondini, F, Filipovic, M, Gamez-Zapata, J, Gerecke, P, Gommers, D, Hillermann, T, Ince, C, Jenni-Moser, B, Jovic, M, Jurkolow, G, Klarer, A, Lambert, A, Laurent, J, Lavanchy, J, Lienhardt-Nobbe, B, Locher, P, Losser, M, Lussman, R, Magliocca, A, Margarit, A, Martinez, A, Mauri, R, Mayor-Vazquez, E, Meier, J, Moret-Bochatay, M, Murrone, M, Naon, D, Neff, T, Novy, E, Petersen, L, Pugin, J, Ramelet, A, Rilinger, J, Rimensberger, P, Sepulcri, M, Shaikh, K, Sieber, M, Simonini, M, Spadaro, S, Sridharan, G, Stahl, K, Staudacher, D, Taboada-Fraga, X, Tellez, A, Urech, S, Vitale, G, Vizmanos-Lamotte, G, Welte, T, Zalba-Etayo, B, Zellweger, N, Wendel Garcia P. D., Aguirre-Bermeo H., Buehler P. K., Alfaro-Farias M., Yuen B., David S., Tschoellitsch T., Wengenmayer T., Korsos A., Fogagnolo A., Kleger G. -R., Wu M. A., Colombo R., Turrini F., Potalivo A., Rezoagli E., Rodriguez-Garcia R., Castro P., Lander-Azcona A., Martin-Delgado M. C., Lozano-Gomez H., Ensner R., Michot M. P., Gehring N., Schott P., Siegemund M., Merki L., Wiegand J., Jeitziner M. M., Laube M., Salomon P., Hillgaertner F., Dullenkopf A., Ksouri H., Cereghetti S., Grazioli S., Burkle C., Marrel J., Fleisch I., Perez M. -H., Baltussen Weber A., Ceruti S., Marquardt K., Hubner T., Redecker H., Studhalter M., Stephan M., Selz D., Pietsch U., Ristic A., Heise A., Meyer zu Bentrup F., Franchitti Laurent M., Fodor P., Gaspert T., Haberthuer C., Colak E., Heuberger D. M., Fumeaux T., Montomoli J., Guerci P., Schuepbach R. A., Hilty M. P., Roche-Campo F., Algaba-Calderon A., Apolo J., Aslanidis T., Babik B., Boroli F., Brem J., Brenni M., Brugger S. D., Camen G., Catena E., Ceriani R., Chau I., Christ A., Cogliati C., Concha P., Delahaye G., Drvaric I., Escos-Orta J., Fabbri S., Facondini F., Filipovic M., Gamez-Zapata J., Gerecke P., Gommers D., Hillermann T., Ince C., Jenni-Moser B., Jovic M., Jurkolow G., Klarer A., Lambert A., Laurent J. -C., Lavanchy J., Lienhardt-Nobbe B., Locher P., Losser M. -R., Lussman R. F., Magliocca A., Margarit A., Martinez A., Mauri R., Mayor-Vazquez E., Meier J., Moret-Bochatay M., Murrone M., Naon D., Neff T., Novy E., Petersen L., Pugin J., Ramelet A. -S., Rilinger J., Rimensberger P. C., Sepulcri M., Shaikh K., Sieber M., Simonini M. S., Spadaro S., Sridharan G. O., Stahl K., Staudacher D. L., Taboada-Fraga X., Tellez A., Urech S., Vitale G., Vizmanos-Lamotte G., Welte T., Zalba-Etayo B., and Zellweger N.

Abstract

Background: Uncertainty about the optimal respiratory support strategies in critically ill COVID-19 patients is widespread. While the risks and benefits of noninvasive techniques versus early invasive mechanical ventilation (IMV) are intensely debated, actual evidence is lacking. We sought to assess the risks and benefits of different respiratory support strategies, employed in intensive care units during the first months of the COVID-19 pandemic on intubation and intensive care unit (ICU) mortality rates. Methods: Subanalysis of a prospective, multinational registry of critically ill COVID-19 patients. Patients were subclassified into standard oxygen therapy ≥10 L/min (SOT), high-flow oxygen therapy (HFNC), noninvasive positive-pressure ventilation (NIV), and early IMV, according to the respiratory support strategy employed at the day of admission to ICU. Propensity score matching was performed to ensure comparability between groups. Results: Initially, 1421 patients were assessed for possible study inclusion. Of these, 351 patients (85 SOT, 87 HFNC, 87 NIV, and 92 IMV) remained eligible for full analysis after propensity score matching. 55% of patients initially receiving noninvasive respiratory support required IMV. The intubation rate was lower in patients initially ventilated with HFNC and NIV compared to those who received SOT (SOT: 64%, HFNC: 52%, NIV: 49%, p = 0.025). Compared to the other respiratory support strategies, NIV was associated with a higher overall ICU mortality (SOT: 18%, HFNC: 20%, NIV: 37%, IMV: 25%, p = 0.016). Conclusion: In this cohort of critically ill patients with COVID-19, a trial of HFNC appeared to be the most balanced initial respiratory support strategy, given the reduced intubation rate and comparable ICU mortality rate. Nonetheless, considering the uncertainty and stress associated with the COVID-19 pandemic, SOT and early IMV represented safe initial respiratory support strategies. The presented findings, in

Published
2021

10. Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients

Author

Montomoli, J, Romeo, L, Moccia, S, Bernardini, M, Migliorelli, L, Berardini, D, Donati, A, Carsetti, A, Bocci, M, Wendel Garcia, P, Fumeaux, T, Guerci, P, Schupbach, R, Ince, C, Frontoni, E, Hilty, M, Alfaro-Farias, M, Vizmanos-Lamotte, G, Tschoellitsch, T, Meier, J, Aguirre-Bermeo, H, Apolo, J, Martinez, A, Jurkolow, G, Delahaye, G, Novy, E, Losser, M, Wengenmayer, T, Rilinger, J, Staudacher, D, David, S, Welte, T, Stahl, K, Pavlos, A, Aslanidis, T, Korsos, A, Babik, B, Nikandish, R, Rezoagli, E, Giacomini, M, Nova, A, Fogagnolo, A, Spadaro, S, Ceriani, R, Murrone, M, Wu, M, Cogliati, C, Colombo, R, Catena, E, Turrini, F, Simonini, M, Fabbri, S, Potalivo, A, Facondini, F, Gangitano, G, Perin, T, Grazia Bocci, M, Antonelli, M, Gommers, D, Rodriguez-Garcia, R, Gamez-Zapata, J, Taboada-Fraga, X, Castro, P, Tellez, A, Lander-Azcona, A, Escos-Orta, J, Martin-Delgado, M, Algaba-Calderon, A, Franch-Llasat, D, Roche-Campo, F, Lozano-Gomez, H, Zalba-Etayo, B, Michot, M, Klarer, A, Ensner, R, Schott, P, Urech, S, Zellweger, N, Merki, L, Lambert, A, Laube, M, Jeitziner, M, Jenni-Moser, B, Wiegand, J, Yuen, B, Lienhardt-Nobbe, B, Westphalen, A, Salomon, P, Drvaric, I, Hillgaertner, F, Sieber, M, Dullenkopf, A, Petersen, L, Chau, I, Ksouri, H, Sridharan, G, Cereghetti, S, Boroli, F, Pugin, J, Grazioli, S, Rimensberger, P, Burkle, C, Marrel, J, Brenni, M, Fleisch, I, Lavanchy, J, Perez, M, Ramelet, A, Weber, A, Gerecke, P, Christ, A, Ceruti, S, Glotta, A, Marquardt, K, Shaikh, K, Hubner, T, Neff, T, Redecker, H, Moret-Bochatay, M, Bentrup, F, Studhalter, M, Stephan, M, Brem, J, Gehring, N, Selz, D, Naon, D, Kleger, G, Pietsch, U, Filipovic, M, Ristic, A, Sepulcri, M, Heise, A, Franchitti Laurent, M, Laurent, J, Schuepbach, R, Heuberger, D, Buhler, P, Brugger, S, Fodor, P, Locher, P, Camen, G, Gaspert, T, Jovic, M, Haberthuer, C, Lussman, R, Colak, E, Montomoli J., Romeo L., Moccia S., Bernardini M., Migliorelli L., Berardini D., Donati A., Carsetti A., Bocci M. G., Wendel Garcia P. D., Fumeaux T., Guerci P., Schupbach R. A., Ince C., Frontoni E., Hilty M. P., Alfaro-Farias M., Vizmanos-Lamotte G., Tschoellitsch T., Meier J., Aguirre-Bermeo H., Apolo J., Martinez A., Jurkolow G., Delahaye G., Novy E., Losser M. -R., Wengenmayer T., Rilinger J., Staudacher D. L., David S., Welte T., Stahl K., Pavlos A., Aslanidis T., Korsos A., Babik B., Nikandish R., Rezoagli E., Giacomini M., Nova A., Fogagnolo A., Spadaro S., Ceriani R., Murrone M., Wu M. A., Cogliati C., Colombo R., Catena E., Turrini F., Simonini M. S., Fabbri S., Potalivo A., Facondini F., Gangitano G., Perin T., Grazia Bocci M., Antonelli M., Gommers D., Rodriguez-Garcia R., Gamez-Zapata J., Taboada-Fraga X., Castro P., Tellez A., Lander-Azcona A., Escos-Orta J., Martin-Delgado M. C., Algaba-Calderon A., Franch-Llasat D., Roche-Campo F., Lozano-Gomez H., Zalba-Etayo B., Michot M. P., Klarer A., Ensner R., Schott P., Urech S., Zellweger N., Merki L., Lambert A., Laube M., Jeitziner M. M., Jenni-Moser B., Wiegand J., Yuen B., Lienhardt-Nobbe B., Westphalen A., Salomon P., Drvaric I., Hillgaertner F., Sieber M., Dullenkopf A., Petersen L., Chau I., Ksouri H., Sridharan G. O., Cereghetti S., Boroli F., Pugin J., Grazioli S., Rimensberger P. C., Burkle C., Marrel J., Brenni M., Fleisch I., Lavanchy J., Perez M. -H., Ramelet A. -S., Weber A. B., Gerecke P., Christ A., Ceruti S., Glotta A., Marquardt K., Shaikh K., Hubner T., Neff T., Redecker H., Moret-Bochatay M., Bentrup F. Z., Studhalter M., Stephan M., Brem J., Gehring N., Selz D., Naon D., Kleger G. -R., Pietsch U., Filipovic M., Ristic A., Sepulcri M., Heise A., Franchitti Laurent M., Laurent J. -C., Schuepbach R., Heuberger D., Buhler P., Brugger S., Fodor P., Locher P., Camen G., Gaspert T., Jovic M., Haberthuer C., Lussman R. F., Colak E., Montomoli, J, Romeo, L, Moccia, S, Bernardini, M, Migliorelli, L, Berardini, D, Donati, A, Carsetti, A, Bocci, M, Wendel Garcia, P, Fumeaux, T, Guerci, P, Schupbach, R, Ince, C, Frontoni, E, Hilty, M, Alfaro-Farias, M, Vizmanos-Lamotte, G, Tschoellitsch, T, Meier, J, Aguirre-Bermeo, H, Apolo, J, Martinez, A, Jurkolow, G, Delahaye, G, Novy, E, Losser, M, Wengenmayer, T, Rilinger, J, Staudacher, D, David, S, Welte, T, Stahl, K, Pavlos, A, Aslanidis, T, Korsos, A, Babik, B, Nikandish, R, Rezoagli, E, Giacomini, M, Nova, A, Fogagnolo, A, Spadaro, S, Ceriani, R, Murrone, M, Wu, M, Cogliati, C, Colombo, R, Catena, E, Turrini, F, Simonini, M, Fabbri, S, Potalivo, A, Facondini, F, Gangitano, G, Perin, T, Grazia Bocci, M, Antonelli, M, Gommers, D, Rodriguez-Garcia, R, Gamez-Zapata, J, Taboada-Fraga, X, Castro, P, Tellez, A, Lander-Azcona, A, Escos-Orta, J, Martin-Delgado, M, Algaba-Calderon, A, Franch-Llasat, D, Roche-Campo, F, Lozano-Gomez, H, Zalba-Etayo, B, Michot, M, Klarer, A, Ensner, R, Schott, P, Urech, S, Zellweger, N, Merki, L, Lambert, A, Laube, M, Jeitziner, M, Jenni-Moser, B, Wiegand, J, Yuen, B, Lienhardt-Nobbe, B, Westphalen, A, Salomon, P, Drvaric, I, Hillgaertner, F, Sieber, M, Dullenkopf, A, Petersen, L, Chau, I, Ksouri, H, Sridharan, G, Cereghetti, S, Boroli, F, Pugin, J, Grazioli, S, Rimensberger, P, Burkle, C, Marrel, J, Brenni, M, Fleisch, I, Lavanchy, J, Perez, M, Ramelet, A, Weber, A, Gerecke, P, Christ, A, Ceruti, S, Glotta, A, Marquardt, K, Shaikh, K, Hubner, T, Neff, T, Redecker, H, Moret-Bochatay, M, Bentrup, F, Studhalter, M, Stephan, M, Brem, J, Gehring, N, Selz, D, Naon, D, Kleger, G, Pietsch, U, Filipovic, M, Ristic, A, Sepulcri, M, Heise, A, Franchitti Laurent, M, Laurent, J, Schuepbach, R, Heuberger, D, Buhler, P, Brugger, S, Fodor, P, Locher, P, Camen, G, Gaspert, T, Jovic, M, Haberthuer, C, Lussman, R, Colak, E, Montomoli J., Romeo L., Moccia S., Bernardini M., Migliorelli L., Berardini D., Donati A., Carsetti A., Bocci M. G., Wendel Garcia P. D., Fumeaux T., Guerci P., Schupbach R. A., Ince C., Frontoni E., Hilty M. P., Alfaro-Farias M., Vizmanos-Lamotte G., Tschoellitsch T., Meier J., Aguirre-Bermeo H., Apolo J., Martinez A., Jurkolow G., Delahaye G., Novy E., Losser M. -R., Wengenmayer T., Rilinger J., Staudacher D. L., David S., Welte T., Stahl K., Pavlos A., Aslanidis T., Korsos A., Babik B., Nikandish R., Rezoagli E., Giacomini M., Nova A., Fogagnolo A., Spadaro S., Ceriani R., Murrone M., Wu M. A., Cogliati C., Colombo R., Catena E., Turrini F., Simonini M. S., Fabbri S., Potalivo A., Facondini F., Gangitano G., Perin T., Grazia Bocci M., Antonelli M., Gommers D., Rodriguez-Garcia R., Gamez-Zapata J., Taboada-Fraga X., Castro P., Tellez A., Lander-Azcona A., Escos-Orta J., Martin-Delgado M. C., Algaba-Calderon A., Franch-Llasat D., Roche-Campo F., Lozano-Gomez H., Zalba-Etayo B., Michot M. P., Klarer A., Ensner R., Schott P., Urech S., Zellweger N., Merki L., Lambert A., Laube M., Jeitziner M. M., Jenni-Moser B., Wiegand J., Yuen B., Lienhardt-Nobbe B., Westphalen A., Salomon P., Drvaric I., Hillgaertner F., Sieber M., Dullenkopf A., Petersen L., Chau I., Ksouri H., Sridharan G. O., Cereghetti S., Boroli F., Pugin J., Grazioli S., Rimensberger P. C., Burkle C., Marrel J., Brenni M., Fleisch I., Lavanchy J., Perez M. -H., Ramelet A. -S., Weber A. B., Gerecke P., Christ A., Ceruti S., Glotta A., Marquardt K., Shaikh K., Hubner T., Neff T., Redecker H., Moret-Bochatay M., Bentrup F. Z., Studhalter M., Stephan M., Brem J., Gehring N., Selz D., Naon D., Kleger G. -R., Pietsch U., Filipovic M., Ristic A., Sepulcri M., Heise A., Franchitti Laurent M., Laurent J. -C., Schuepbach R., Heuberger D., Buhler P., Brugger S., Fodor P., Locher P., Camen G., Gaspert T., Jovic M., Haberthuer C., Lussman R. F., and Colak E.

Abstract

Background: Accurate risk stratification of critically ill patients with coronavirus disease 2019 (COVID-19) is essential for optimizing resource allocation, delivering targeted interventions, and maximizing patient survival probability. Machine learning (ML) techniques are attracting increased interest for the development of prediction models as they excel in the analysis of complex signals in data-rich environments such as critical care. Methods: We retrieved data on patients with COVID-19 admitted to an intensive care unit (ICU) between March and October 2020 from the RIsk Stratification in COVID-19 patients in the Intensive Care Unit (RISC-19-ICU) registry. We applied the Extreme Gradient Boosting (XGBoost) algorithm to the data to predict as a binary outcome the increase or decrease in patients’ Sequential Organ Failure Assessment (SOFA) score on day 5 after ICU admission. The model was iteratively cross-validated in different subsets of the study cohort. Results: The final study population consisted of 675 patients. The XGBoost model correctly predicted a decrease in SOFA score in 320/385 (83%) critically ill COVID-19 patients, and an increase in the score in 210/290 (72%) patients. The area under the mean receiver operating characteristic curve for XGBoost was significantly higher than that for the logistic regression model (0.86 vs. 0.69, P < 0.01 [paired t-test with 95% confidence interval]). Conclusions: The XGBoost model predicted the change in SOFA score in critically ill COVID-19 patients admitted to the ICU and can guide clinical decision support systems (CDSSs) aimed at optimizing available resources.

Published
2021

11. Algorithm for individual prediction of covid-19-related hospitalization based on symptoms: Development and implementation study

Author

Murtas, R, Morici, N, Cogliati, C, Puoti, M, Omazzi, B, Bergamaschi, W, Voza, A, Querini, P, Stefanini, G, Manfredi, M, Zocchi, M, Mangiagalli, A, Brambilla, C, Bosio, M, Corradin, M, Cortellaro, F, Trivelli, M, Savonitto, S, Russo, A, Murtas R., Morici N., Cogliati C., Puoti M., Omazzi B., Bergamaschi W., Voza A., Querini P. R., Stefanini G., Manfredi M. G., Zocchi M. T., Mangiagalli A., Brambilla C. V., Bosio M., Corradin M., Cortellaro F., Trivelli M., Savonitto S., Russo A. G., Murtas, R, Morici, N, Cogliati, C, Puoti, M, Omazzi, B, Bergamaschi, W, Voza, A, Querini, P, Stefanini, G, Manfredi, M, Zocchi, M, Mangiagalli, A, Brambilla, C, Bosio, M, Corradin, M, Cortellaro, F, Trivelli, M, Savonitto, S, Russo, A, Murtas R., Morici N., Cogliati C., Puoti M., Omazzi B., Bergamaschi W., Voza A., Querini P. R., Stefanini G., Manfredi M. G., Zocchi M. T., Mangiagalli A., Brambilla C. V., Bosio M., Corradin M., Cortellaro F., Trivelli M., Savonitto S., and Russo A. G.

Abstract

Background: The COVID-19 pandemic has placed a huge strain on the health care system globally. The metropolitan area of Milan, Italy, was one of the regions most impacted by the COVID-19 pandemic worldwide. Risk prediction models developed by combining administrative databases and basic clinical data are needed to stratify individual patient risk for public health purposes. Objective: This study aims to develop a stratification tool aimed at improving COVID-19 patient management and health care organization. Methods: A predictive algorithm was developed and applied to 36,834 patients with COVID-19 in Italy between March 8 and the October 9, 2020, in order to foresee their risk of hospitalization. Exposures considered were age, sex, comorbidities, and symptoms associated with COVID-19 (eg, vomiting, cough, fever, diarrhea, myalgia, asthenia, headache, anosmia, ageusia, and dyspnea). The outcome was hospitalizations and emergency department admissions for COVID-19. Discrimination and calibration of the model were also assessed. Results: The predictive model showed a good fit for predicting COVID-19 hospitalization (C-index 0.79) and a good overall prediction accuracy (Brier score 0.14). The model was well calibrated (intercept -0.0028, slope 0.9970). Based on these results, 118,804 patients diagnosed with COVID-19 from October 25 to December 11, 2020, were stratified into low, medium, and high risk for COVID-19 severity. Among the overall study population, 67,030 (56.42%) were classified as low-risk patients; 43,886 (36.94%), as medium-risk patients; and 7888 (6.64%), as high-risk patients. In all, 89.37% (106,179/118,804) of the overall study population was being assisted at home, 9% (10,695/118,804) was hospitalized, and 1.62% (1930/118,804) died. Among those assisted at home, most people (63,983/106,179, 60.26%) were classified as low risk, whereas only 3.63% (3858/106,179) were classified at high risk. According to ordinal logistic regression, the odds ratio (OR)

Published
2021

12. Continuous Positive Airway Pressure in Elderly Patients with Severe COVID-19 Related Respiratory Failure

Author

Ceriani, E., Pitino, A., Radovanovic, D., Salvi, E., Matone, M., Teatini, T., Gidaro, A., Tripepi, G., Santus, P., Gori, M., and Cogliati, C.

Subjects
Settore MED/09 - Medicina Interna, continuous positive airway pressure, CPAP, ventilation, COVID-19, elderly
Abstract

The elderly population represents a high percentage of patients hospitalized for COVID-19 pneumonia and severe respiratory failure, for whom CPAP may be a treatment option. The aim of this study was to describe the CPAP support modalities and to explore factors associated with CPAP failure. In this retrospective study, 110 consecutive patients aged ≥ 75 years were enrolled. Median frailty score, baseline partial arterial pressure of oxygen to fraction of inspired oxygen ratio (P/F), and respiratory rate (RR) were 5, 108, and 30 cycles/min, respectively. Of the 110 patients that began CPAP treatment, 17 patients died within 72 h from baseline, while in 2 patients, CPAP was withdrawn for clinical improvement. Thus, of the 91 patients still on CPAP at day 3, 67% of them needed continuous CPAP delivery. Patients with RR ≥ 30 and with frailty score ≥ 5 had an odds ratio of continuous CPAP needing of 3 and 4, respectively. Patients unable to tolerate CPAP-free periods demonstrated higher mortality risk as compared to those able to tolerate intermittent CPAP (OR: 6.04, 95% CI 2.38-16.46

Published
2022

13. Implications of early respiratory support strategies on disease progression in critical COVID-19: a matched subanalysis of the prospective RISC-19-ICU cohort

Author

Wendel Garcia P. D., Aguirre-Bermeo H., Buehler P. K., Alfaro-Farias M., Yuen B., David S., Tschoellitsch T., Wengenmayer T., Korsos A., Fogagnolo A., Kleger G. -R., Wu M. A., Colombo R., Turrini F., Potalivo A., Rezoagli E., Rodriguez-Garcia R., Castro P., Lander-Azcona A., Martin-Delgado M. C., Lozano-Gomez H., Ensner R., Michot M. P., Gehring N., Schott P., Siegemund M., Merki L., Wiegand J., Jeitziner M. M., Laube M., Salomon P., Hillgaertner F., Dullenkopf A., Ksouri H., Cereghetti S., Grazioli S., Burkle C., Marrel J., Fleisch I., Perez M. -H., Baltussen Weber A., Ceruti S., Marquardt K., Hubner T., Redecker H., Studhalter M., Stephan M., Selz D., Pietsch U., Ristic A., Heise A., Meyer zu Bentrup F., Franchitti Laurent M., Fodor P., Gaspert T., Haberthuer C., Colak E., Heuberger D. M., Fumeaux T., Montomoli J., Guerci P., Schuepbach R. A., Hilty M. P., Roche-Campo F., Algaba-Calderon A., Apolo J., Aslanidis T., Babik B., Boroli F., Brem J., Brenni M., Brugger S. D., Camen G., Catena E., Ceriani R., Chau I., Christ A., Cogliati C., Concha P., Delahaye G., Drvaric I., Escos-Orta J., Fabbri S., Facondini F., Filipovic M., Gamez-Zapata J., Gerecke P., Gommers D., Hillermann T., Ince C., Jenni-Moser B., Jovic M., Jurkolow G., Klarer A., Lambert A., Laurent J. -C., Lavanchy J., Lienhardt-Nobbe B., Locher P., Losser M. -R., Lussman R. F., Magliocca A., Margarit A., Martinez A., Mauri R., Mayor-Vazquez E., Meier J., Moret-Bochatay M., Murrone M., Naon D., Neff T., Novy E., Petersen L., Pugin J., Ramelet A. -S., Rilinger J., Rimensberger P. C., Sepulcri M., Shaikh K., Sieber M., Simonini M. S., Spadaro S., Sridharan G. O., Stahl K., Staudacher D. L., Taboada-Fraga X., Tellez A., Urech S., Vitale G., Vizmanos-Lamotte G., Welte T., Zalba-Etayo B., Zellweger N., Graduate School, ACS - Atherosclerosis & ischemic syndromes, ACS - Microcirculation, AII - Inflammatory diseases, RISC-19-ICU Investigators, Wendel Garcia, P.D., Aguirre-Bermeo, H., Buehler, P.K., Alfaro-Farias, M., Yuen, B., David, S., Tschoellitsch, T., Wengenmayer, T., Korsos, A., Fogagnolo, A., Kleger, G.R., Wu, M.A., Colombo, R., Turrini, F., Potalivo, A., Rezoagli, E., Rodríguez-García, R., Castro, P., Lander-Azcona, A., Martín-Delgado, M.C., Lozano-Gómez, H., Ensner, R., Michot, M.P., Gehring, N., Schott, P., Siegemund, M., Merki, L., Wiegand, J., Jeitziner, M.M., Laube, M., Salomon, P., Hillgaertner, F., Dullenkopf, A., Ksouri, H., Cereghetti, S., Grazioli, S., Bürkle, C., Marrel, J., Fleisch, I., Perez, M.H., Baltussen Weber, A., Ceruti, S., Marquardt, K., Hübner, T., Redecker, H., Studhalter, M., Stephan, M., Selz, D., Pietsch, U., Ristic, A., Heise, A., Meyer Zu Bentrup, F., Franchitti Laurent, M., Fodor, P., Gaspert, T., Haberthuer, C., Colak, E., Heuberger, D.M., Fumeaux, T., Montomoli, J., Guerci, P., Schuepbach, R.A., Hilty, M.P., Roche-Campo, F., Algaba-Calderon, A., Apolo, J., Aslanidis, T., Babik, B., Boroli, F., Brem, J., Brenni, M., Brugger, S.D., Camen, G., Catena, E., Ceriani, R., Chau, I., Christ, A., Cogliati, C., Concha, P., Delahaye, G., Drvaric, I., Escós-Orta, J., Fabbri, S., Facondini, F., Filipovic, M., Gámez-Zapata, J., Gerecke, P., Gommers, D., Hillermann, T., Ince, C., Jenni-Moser, B., Jovic, M., Jurkolow, G., Klarer, A., Lambert, A., Laurent, J.C., Lavanchy, J., Lienhardt-Nobbe, B., Locher, P., Losser, M.R., Lussman, R.F., Magliocca, A., Margarit, A., Martínez, A., Mauri, R., Mayor-Vázquez, E., Meier, J., Moret-Bochatay, M., Murrone, M., Naon, D., Neff, T., Novy, E., Petersen, L., Pugin, J., Ramelet, A.S., Rilinger, J., Rimensberger, P.C., Sepulcri, M., Shaikh, K., Sieber, M., Simonini, M.S., Spadaro, S., Sridharan, G.O., Stahl, K., Staudacher, D.L., Taboada-Fraga, X., Tellez, A., Urech, S., Vitale, G., Vizmanos-Lamotte, G., Welte, T., Zalba-Etayo, B., Zellweger, N., Wendel Garcia, P, Aguirre-Bermeo, H, Buehler, P, Alfaro-Farias, M, Yuen, B, David, S, Tschoellitsch, T, Wengenmayer, T, Korsos, A, Fogagnolo, A, Kleger, G, Wu, M, Colombo, R, Turrini, F, Potalivo, A, Rezoagli, E, Rodriguez-Garcia, R, Castro, P, Lander-Azcona, A, Martin-Delgado, M, Lozano-Gomez, H, Ensner, R, Michot, M, Gehring, N, Schott, P, Siegemund, M, Merki, L, Wiegand, J, Jeitziner, M, Laube, M, Salomon, P, Hillgaertner, F, Dullenkopf, A, Ksouri, H, Cereghetti, S, Grazioli, S, Burkle, C, Marrel, J, Fleisch, I, Perez, M, Baltussen Weber, A, Ceruti, S, Marquardt, K, Hubner, T, Redecker, H, Studhalter, M, Stephan, M, Selz, D, Pietsch, U, Ristic, A, Heise, A, Meyer zu Bentrup, F, Franchitti Laurent, M, Fodor, P, Gaspert, T, Haberthuer, C, Colak, E, Heuberger, D, Fumeaux, T, Montomoli, J, Guerci, P, Schuepbach, R, Hilty, M, Roche-Campo, F, Algaba-Calderon, A, Apolo, J, Aslanidis, T, Babik, B, Boroli, F, Brem, J, Brenni, M, Brugger, S, Camen, G, Catena, E, Ceriani, R, Chau, I, Christ, A, Cogliati, C, Concha, P, Delahaye, G, Drvaric, I, Escos-Orta, J, Fabbri, S, Facondini, F, Filipovic, M, Gamez-Zapata, J, Gerecke, P, Gommers, D, Hillermann, T, Ince, C, Jenni-Moser, B, Jovic, M, Jurkolow, G, Klarer, A, Lambert, A, Laurent, J, Lavanchy, J, Lienhardt-Nobbe, B, Locher, P, Losser, M, Lussman, R, Magliocca, A, Margarit, A, Martinez, A, Mauri, R, Mayor-Vazquez, E, Meier, J, Moret-Bochatay, M, Murrone, M, Naon, D, Neff, T, Novy, E, Petersen, L, Pugin, J, Ramelet, A, Rilinger, J, Rimensberger, P, Sepulcri, M, Shaikh, K, Sieber, M, Simonini, M, Spadaro, S, Sridharan, G, Stahl, K, Staudacher, D, Taboada-Fraga, X, Tellez, A, Urech, S, Vitale, G, Vizmanos-Lamotte, G, Welte, T, Zalba-Etayo, B, Zellweger, N, and Intensive Care

Subjects
Male, ARDS, Time Factors, medicine.medical_treatment, Old age, Critical Care and Intensive Care Medicine, law.invention, 0302 clinical medicine, law, Oxygen therapy, Noninvasive mechanical ventilation, Intubation, 030212 general & internal medicine, Hospital Mortality, Prospective Studies, Registries, Prospective cohort study, 610 Medicine & health, Unitats de cures intensives, Intensive care units, Medical emergencies. Critical care. Intensive care. First aid, Middle Aged, Intensive care unit, Intensive Care Units, Treatment Outcome, Vellesa, High flow oxygen therapy, Disease Progression, Female, Standard oxygen therapy, medicine.medical_specialty, Respiratory Therapy, Critical Illness, NO, 03 medical and health sciences, Intensive care, medicine, Humans, Invasive mechanical ventilation, Critically ill, Patient self-inflicted lung injury, Aged, Retrospective Studies, Mechanical ventilation, COVID-19/mortality, COVID-19/therapy, Critical Illness/mortality, Critical Illness/therapy, Respiratory Therapy/methods, Respiratory Therapy/statistics & numerical data, COVID-19, Respiratory support, business.industry, RC86-88.9, Research, Retrospective cohort study, medicine.disease, Malalts en estat crític, 030228 respiratory system, Emergency medicine, business
Abstract

Background Uncertainty about the optimal respiratory support strategies in critically ill COVID-19 patients is widespread. While the risks and benefits of noninvasive techniques versus early invasive mechanical ventilation (IMV) are intensely debated, actual evidence is lacking. We sought to assess the risks and benefits of different respiratory support strategies, employed in intensive care units during the first months of the COVID-19 pandemic on intubation and intensive care unit (ICU) mortality rates. Methods Subanalysis of a prospective, multinational registry of critically ill COVID-19 patients. Patients were subclassified into standard oxygen therapy ≥10 L/min (SOT), high-flow oxygen therapy (HFNC), noninvasive positive-pressure ventilation (NIV), and early IMV, according to the respiratory support strategy employed at the day of admission to ICU. Propensity score matching was performed to ensure comparability between groups. Results Initially, 1421 patients were assessed for possible study inclusion. Of these, 351 patients (85 SOT, 87 HFNC, 87 NIV, and 92 IMV) remained eligible for full analysis after propensity score matching. 55% of patients initially receiving noninvasive respiratory support required IMV. The intubation rate was lower in patients initially ventilated with HFNC and NIV compared to those who received SOT (SOT: 64%, HFNC: 52%, NIV: 49%, p = 0.025). Compared to the other respiratory support strategies, NIV was associated with a higher overall ICU mortality (SOT: 18%, HFNC: 20%, NIV: 37%, IMV: 25%, p = 0.016). Conclusion In this cohort of critically ill patients with COVID-19, a trial of HFNC appeared to be the most balanced initial respiratory support strategy, given the reduced intubation rate and comparable ICU mortality rate. Nonetheless, considering the uncertainty and stress associated with the COVID-19 pandemic, SOT and early IMV represented safe initial respiratory support strategies. The presented findings, in agreement with classic ARDS literature, suggest that NIV should be avoided whenever possible due to the elevated ICU mortality risk.

Published
2021

15. Retrospective survey from vascular access team Lombardy net in COVID-19 era

Author

Gidaro, A, Vailati, D, Gemma, M, Lugli, F, Casella, F, Cogliati, C, Canelli, A, Nadia, C, Monolo, D, Cordio, G, Frosi, C, Destefanis, R, Rossi, A, Alemanno, M, Valenza, F, Luisoni, M, Elli, S, Caldarini, A, Lucchini, A, Paglia, S, Baroni, M, Giustivi, D, Antonio, Gidaro, Davide, Vailati, Marco, Gemma, Francesca, Lugli, Francesco, Casella, Chiara, Cogliati, Antonio, Canelli, Cremonesi, Nadia, Davide, Monolo, Giuseppe, Cordio, Chiara, Frosi, Riccardo, Destefanis, Anna, Rossi, Maria Chiara, Alemanno, Franco, Valenza, Mara Dina, Luisoni, Stefano, Elli, Andrea, Caldarini, Alberto, Lucchini, Stefano, Paglia, Monica, Baroni, Davide, Giustivi, Gidaro, A, Vailati, D, Gemma, M, Lugli, F, Casella, F, Cogliati, C, Canelli, A, Nadia, C, Monolo, D, Cordio, G, Frosi, C, Destefanis, R, Rossi, A, Alemanno, M, Valenza, F, Luisoni, M, Elli, S, Caldarini, A, Lucchini, A, Paglia, S, Baroni, M, Giustivi, D, Antonio, Gidaro, Davide, Vailati, Marco, Gemma, Francesca, Lugli, Francesco, Casella, Chiara, Cogliati, Antonio, Canelli, Cremonesi, Nadia, Davide, Monolo, Giuseppe, Cordio, Chiara, Frosi, Riccardo, Destefanis, Anna, Rossi, Maria Chiara, Alemanno, Franco, Valenza, Mara Dina, Luisoni, Stefano, Elli, Andrea, Caldarini, Alberto, Lucchini, Stefano, Paglia, Monica, Baroni, and Davide, Giustivi

Abstract

BACKGROUND: Venous Access Devices (VADs) are the most used devices in COVID-19 patients.OBJECTIVE: Identify VADs implanted, catheter related thrombosis (CRT), catheter-related bloodstream infection (CRBSI), and accidental remove of VADs in both COVID-19 positive and COVID-19 free patients. Successive analysis was conducted comparing COVID-19 positive patients with COVID-19 free with inverse probability propensity score weights using simple regression to account for these two confounders (peripheral tip as central/peripheral and hospitalization as no/yes).METHODS: This multicenter, retrospective cohort study collected data from seven hospitals in Lombardy during the pandemic period from February 21st to May 31st 2020.RESULTS: A total of 2206 VADs were evaluated, 1107 (50.2%) of which were inserted in COVID-19 patients. In COVID-19 cohort the first choice was Long Peripheral Cannula in 388 patients (35.1%) followed by Midline Catheter in 385 (34.8%). The number of "central tip" VADs inserted in COVID-free inpatients and COVID-19 positive were similar (307 vs 334). We recorded 42 (1.9%) CRT; 32 (79.2%) were observed in COVID-19 patients. A total of 19 CRBSI were diagnosed; 15 (78.95%) were observed in COVID-19. Accidental removals were the more represented complication with 123 cases, 85 (69.1%) of them were in COVID-19. COVID-19 significantly predicted occurrence of CRT (OR=2.00(1.85-5.03); p<0.001), CRSB (OR=3.82(1.82-8.97); p<0.001), and Accidental Removal (OR=2.39(1.80-3.20); p<0.001) in our propensity score weighted models.CONCLUSIONS: CRT, CRBSI, and accidental removal are significantly more frequent in COVID-19 patients. Accidental removals are the principal complication, for this reason, the use of subcutaneously anchored securement is recommended for a shorter period than usual.

Published
2022

16. Clinical factors associated with death in 3044 COVID-19 patients managed in internal medicine wards in Italy: results from the SIMI-COVID-19 study of the Italian Society of Internal Medicine (SIMI)

Author

Corradini E., Ventura P., Ageno W., Cogliati C. B., Muiesan M. L., Girelli D., Pirisi M., Gasbarrini A., Angeli P., Querini P. R., Bosi E., Tresoldi M., Vettor R., Cattaneo M., Piscaglia F., Brucato A. L., Perlini S., Martelletti P., Pontremoli R., Porta M., Minuz P., Olivieri O., Sesti G., Biolo G., Rizzoni D., Serviddio G., Cipollone F., Grassi D., Manfredini R., Moreo G. L., Pietrangelo A., Teatini T., Salvetti M., Crisafulli E., Sainaghi P. P., Zileri Dal Verme L., Piano S., De Lorenzo R., Arcidiacono G., Podda M., Muratori L., Gabiati C., Salinaro F., Luciani M., Barnini C., Morra di Cella S., Dalbeni A., Friso S., Mearelli F., Malerba P., Cavallone F., D'Ardes D., Notargiacomo S., De Giorgi A., Mansi M., Buzzetti E., Ricci A., Martelli F., Corradini E., Ventura P., Ageno W., Cogliati C.B., Muiesan M.L., Girelli D., Pirisi M., Gasbarrini A., Angeli P., Querini P.R., Bosi E., Tresoldi M., Vettor R., Cattaneo M., Piscaglia F., Brucato A.L., Perlini S., Martelletti P., Pontremoli R., Porta M., Minuz P., Olivieri O., Sesti G., Biolo G., Rizzoni D., Serviddio G., Cipollone F., Grassi D., Manfredini R., Moreo G.L., Pietrangelo A., Teatini T., Salvetti M., Crisafulli E., Sainaghi P.P., Zileri Dal Verme L., Piano S., De Lorenzo R., Arcidiacono G., Podda M., Muratori L., Gabiati C., Salinaro F., Luciani M., Barnini C., Morra di Cella S., Dalbeni A., Friso S., Mearelli F., Malerba P., Cavallone F., D'Ardes D., Notargiacomo S., De Giorgi A., Mansi M., Buzzetti E., Ricci A., Martelli F., Corradini, E., Ventura, P., Ageno, W., Cogliati, C. B., Muiesan, M. L., Girelli, D., Pirisi, M., Gasbarrini, A., Angeli, P., Rovere-Querini, P., Bosi, E., Tresoldi, M., Vettor, R., Cattaneo, M., Piscaglia, F., Brucato, A. L., Perlini, S., Martelletti, P., Pontremoli, R., Porta, M., Minuz, P., Olivieri, O., Sesti, G., Biolo, G., Rizzoni, D., Serviddio, G., Cipollone, F., Grassi, D., Manfredini, R., Moreo, G. L., Pietrangelo, A., Teatini, T., Salvetti, M., Crisafulli, E., Sainaghi, P. P., Zileri Dal Verme, L., Piano, S., De Lorenzo, R., Arcidiacono, G., Podda, M., Muratori, L., Gabiati, C., Salinaro, F., Luciani, M., Barnini, C., Morra di Cella, S., Dalbeni, A., Friso, S., Mearelli, F., Malerba, P., Cavallone, F., D'Ardes, D., Notargiacomo, S., De Giorgi, A., Mansi, M., Buzzetti, E., Ricci, A., and Martelli, F.

Subjects
Mortality from COVID-19, Comorbidity, 030204 cardiovascular system & hematology, Cohort Studies, 0302 clinical medicine, 80 and over, Medicine, 030212 general & internal medicine, Hospital Mortality, Internal medicine, Comorbidity, Internal medicine, Mortality from COVID-19, Polypharmacy, SARS-CoV-2, Aged, 80 and over, LS7_9, Mortality rate, Respiration, Middle Aged, Hospitals, Survival Rate, Hospitalization, Italy, Polypharmacy, SARS-CoV-2, Cohort, Artificial, Emergency Medicine, Adult, Aged, COVID-19, Critical Care, Humans, Respiration, Artificial, Internal Medicine, medicine.symptom, Cohort study, medicine.medical_specialty, Settore MED/12 - GASTROENTEROLOGIA, Socio-culturale, 03 medical and health sciences, Intensive care, Survival rate, business.industry, Organ dysfunction, Settore MED/09 - MEDICINA INTERNA, medicine.disease, Im - Original, business
Abstract

During the COVID-19 2020 outbreak, a large body of data has been provided on general management and outcomes of hospitalized COVID-19 patients. Yet, relatively little is known on characteristics and outcome of patients managedin Internal Medicine Units (IMU). To address this gap, the Italian Society of Internal Medicine has conducted a nationwide cohort multicentre study on death outcome in adult COVID-19 patients admitted and managed in IMU. This study assessed 3044 COVID-19 patients at 41 referral hospitals across Italy from February 3rd to May 8th 2020. Demographics, comorbidities, organ dysfunction, treatment, and outcomes including death were assessed. During the study period, 697 patients (22.9%) were transferred to intensive care units, and 351 died in IMU (death rate 14.9%). At admission, factors independently associated with in-hospital mortality were age (OR 2.46, p = 0.000), productive cough (OR 2.04, p = 0.000), pre-existing chronic heart failure (OR 1.58, p = 0.017) and chronic obstructive pulmonary disease (OR 1.17, p = 0.048), the number of comorbidities (OR 1.34, p = 0.000) and polypharmacy (OR 1.20, p = 0.000). Of note, up to 40% of elderly patients did not report fever at admission. Decreasing PaO2/FiO2 ratio at admission was strongly inversely associated with survival. The use of conventional oxygen supplementation increased with the number of pre-existing comorbidities, but it did not associate with better survival in patients with PaO2/FiO2 ratio

Published
2021

18. Clinical factors associated with death in 3044 COVID-19 patients managed in internal medicine wards in Italy: results from the SIMI-COVID-19 study of the Italian Society of Internal Medicine (SIMI)

Author

Corradini, E., Ventura, P., Ageno, W., Cogliati, C. B., Muiesan, M. L., Girelli, Davide Nicola, Pirisi, M., Gasbarrini, Antonio, Angeli, P., Querini, P. R., Bosi, E., Tresoldi, M., Vettor, R., Cattaneo, M., Piscaglia, F., Brucato, A. L., Perlini, S., Martelletti, P., Pontremoli, R., Porta, M., Minuz, P., Olivieri, O., Sesti, G., Biolo, G., Rizzoni, D., Serviddio, G., Cipollone, F., Grassi, D., Manfredini, R., Moreo, G. L., Pietrangelo, A., Teatini, T., Salvetti, Maria Cristina, Crisafulli, E., Sainaghi, Pier Paolo, Zileri Dal Verme, Lorenzo, Piano, S., De Lorenzo, R., Arcidiacono, G., Podda, Maria Vittoria, Muratori, L., Gabiati, C., Salinaro, F., Luciani, Massimiliano, Barnini, C., Morra di Cella, S., Dalbeni, A., Friso, S., Mearelli, F., Malerba, P., Cavallone, F., D'Ardes, D., Notargiacomo, S., De Giorgi, A., Mansi, M., Buzzetti, E., Ricci, A., Martelli, Franco, Girelli D., Gasbarrini A. (ORCID:0000-0002-7278-4823), Salvetti M., Sainaghi P. P., Zileri Dal Verme L., Podda M. (ORCID:0000-0002-2779-8417), Luciani M., Martelli F., Corradini, E., Ventura, P., Ageno, W., Cogliati, C. B., Muiesan, M. L., Girelli, Davide Nicola, Pirisi, M., Gasbarrini, Antonio, Angeli, P., Querini, P. R., Bosi, E., Tresoldi, M., Vettor, R., Cattaneo, M., Piscaglia, F., Brucato, A. L., Perlini, S., Martelletti, P., Pontremoli, R., Porta, M., Minuz, P., Olivieri, O., Sesti, G., Biolo, G., Rizzoni, D., Serviddio, G., Cipollone, F., Grassi, D., Manfredini, R., Moreo, G. L., Pietrangelo, A., Teatini, T., Salvetti, Maria Cristina, Crisafulli, E., Sainaghi, Pier Paolo, Zileri Dal Verme, Lorenzo, Piano, S., De Lorenzo, R., Arcidiacono, G., Podda, Maria Vittoria, Muratori, L., Gabiati, C., Salinaro, F., Luciani, Massimiliano, Barnini, C., Morra di Cella, S., Dalbeni, A., Friso, S., Mearelli, F., Malerba, P., Cavallone, F., D'Ardes, D., Notargiacomo, S., De Giorgi, A., Mansi, M., Buzzetti, E., Ricci, A., Martelli, Franco, Girelli D., Gasbarrini A. (ORCID:0000-0002-7278-4823), Salvetti M., Sainaghi P. P., Zileri Dal Verme L., Podda M. (ORCID:0000-0002-2779-8417), Luciani M., and Martelli F.

Abstract

During the COVID-19 2020 outbreak, a large body of data has been provided on general management and outcomes of hospitalized COVID-19 patients. Yet, relatively little is known on characteristics and outcome of patients managed in Internal Medicine Units (IMU). To address this gap, the Italian Society of Internal Medicine has conducted a nationwide cohort multicentre study on death outcome in adult COVID-19 patients admitted and managed in IMU. This study assessed 3044 COVID-19 patients at 41 referral hospitals across Italy from February 3rd to May 8th 2020. Demographics, comorbidities, organ dysfunction, treatment, and outcomes including death were assessed. During the study period, 697 patients (22.9%) were transferred to intensive care units, and 351 died in IMU (death rate 14.9%). At admission, factors independently associated with in-hospital mortality were age (OR 2.46, p = 0.000), productive cough (OR 2.04, p = 0.000), pre-existing chronic heart failure (OR 1.58, p = 0.017) and chronic obstructive pulmonary disease (OR 1.17, p = 0.048), the number of comorbidities (OR 1.34, p = 0.000) and polypharmacy (OR 1.20, p = 0.000). Of note, up to 40% of elderly patients did not report fever at admission. Decreasing PaO2/FiO2 ratio at admission was strongly inversely associated with survival. The use of conventional oxygen supplementation increased with the number of pre-existing comorbidities, but it did not associate with better survival in patients with PaO2/FiO2 ratio < 100. The latter, significantly benefited by the early use of non-invasive mechanical ventilation. Our study identified PaO2/FiO2 ratio at admission and comorbidity as the main alert signs to inform clinical decisions and resource allocation in non-critically ill COVID-19 patients admitted to IMU.

Published
2021

19. Hypoalbuminemia in COVID‐19: assessing the hypothesis for underlying pulmonary capillary leakage

Author

Wu, M. A., primary, Fossali, T., additional, Pandolfi, L., additional, Carsana, L., additional, Ottolina, D., additional, Frangipane, V., additional, Rech, R., additional, Tosoni, A., additional, Lopez, G., additional, Agarossi, A., additional, Cogliati, C., additional, Meloni, F., additional, Marchini, B., additional, Nebuloni, M., additional, Catena, E., additional, and Colombo, R., additional

Published
2021
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22. Bedside Ultrasonography (US), Echoscopy and US Point of Care as a new kind of stethoscope for Internal Medicine Departments: the training program of the Italian Internal Medicine Society (SIMI)

Author

Arienti, V, Di Giulio, R, Cogliati, C, Accogli, E, Aluigi, L, Corazza, Gr, DEL BEN, Maria, Loffredo, Lorenzo, Polimeni, Licia, Ultrasound SIMI Study Group, Arienti, Vincenzo, Di Giulio, Rosella, Cogliati, Chiara, Accogli, Esterita, Aluigi, Leonardo, Corazza, Gino Roberto, Ultrasound SIMI Study Group [.., Fabio Piscaglia, and ]

Subjects
medicine.medical_specialty, Stethoscope, Bedside ultrasound Echoscopy Point of care ultrasound Internal medicine Training, Point-of-Care Systems, education, Hospital Departments, MEDLINE, law.invention, law, Internal medicine, Internal Medicine, medicine, Humans, Bedside ultrasound, Competence (human resources), Societies, Medical, Ultrasonography, Point of care, business.industry, Stethoscopes, Point of care ultrasound, Ultrasound, Italy, Emergency Medicine, Training program, business
Abstract

In recent years, thanks to the development of miniaturized ultrasound devices, comparable to personal computers, tablets and even to smart phones, we have seen an increasing use of bedside ultrasound in internal medicine departments as a novel kind of ultrasound stethoscope. The clinical ultrasound-assisted approach has proved to be particularly useful in assessing patients with nodules of the neck, dyspnoea, abdominal pain, and with limb edema. In several cases, it has allowed a simple, rapid and precise diagnosis. Since 2005, the Italian Society of Internal Medicine and its Ultrasound Study Group has been holding a Summer School and training courses in ultrasound for residents in internal medicine. A national network of schools in bedside ultrasound was then organized for internal medicine specialists who want to learn this technique. Because bedside ultrasound is a user-dependent diagnostic method, it is important to define the limits and advantages of different new ultrasound devices, to classify them (i.e. Echoscopy and Point of Care Ultrasound), to establish appropriate different levels of competence and to ensure their specific training. In this review, we describe the point of view of the Italian Internal Medicine Society on these topics.

Published
2014

23. A disulphide bridge allows for site selective binding in liver BABP stabilising the orientation of key amino acid side-chains

Author

Tomaselli S., Assfalg M., Pagano K., Cogliati C., Zanzoni S., Molinari H., and Ragona L.

Subjects
protein, NMR
Abstract

The presence of a disulfide bridge in liver bile acid binding protein (L-BABP/S-S) allows for site-selective binding of two bile acids, glycochenodeoxycholic (GCDA) and glycocholic acid (GCA), differing only in the presence of a hydroxyl group. The protein form devoid of the disulfide bridge (L-BABP) binds both bile salts without discriminating ability. We investigate the determinants of the molecular recognition process in the formation of the heterotypic L-BABP/S-S complex with GCA and GCDA located in the superficial and inner protein sites, respectively. The comparison of the NMR spectroscopy structure of heterotypic holo L-BABP/S-S, the first reported for this protein family, with that of the homotypic L-BABP complex demonstrates that the introduction of a SS link between adjacent strands changes the conformation of three key residues, which function as hot-spot mediators of molecular discrimination. The favoured ?1 rotameric states (t, g+ and g- for E99, Q100 and E109 residues, respectively) allow the onset of an extended intramolecular hydrogen-bond network and the consequent stabilisation of the side-chain orientation of a buried histidine, which is capable of anchoring a specific ligand

Published
2012
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24. NMR e zuccheri del miele: caratterizzazione botanica e differenziazione geografica

Author

Cagliani L.R., Consonni R., and Cogliati C.

Abstract

Negli ultimi anni l'attenzione dei consumatori e dei produttori è sempre più rivolta alla ricerca dell'autenticità degli alimenti. Nel caso del miele, alimento largamente diffuso e apprezzato in tutto il mondo per le sue caratteristiche nutritive, antibatteriche e medicinali, l'autenticità è correlata all' origine botanica, all' origine geografica ed alla composizione (assenza di aggiunte illecite di zuccheri o sciroppi). Attualmente la definizione dell'origine geografica e botanica del miele è valutata mediante l'analisi melissopalinologica, che presenta però dei limiti [1]. L'NMR ha già dimostrato la sua potenzialità nel definire l'autenticità di diverse matrici alimentari [2]. In questo lavoro vengono presentati studi combinati di NMR e chemiometria per la caratterizzazione botanica e per la differenziazione dell'origine geografica di mieli sulla base unicamente del contenuto di 19 zuccheri identificati. In particolare è stato possibile, all'interno della stessa specie botanica, distinguere mieli provenienti da diversi stati e mieli provenienti da regioni italiane limitrofe. Referenze [1] P. C. Molan Bee World 79, 59-68 (1998) [2] R. Consonni, and L. R. Cagliani ACS Sym. Ser. 1081, Chapter 2, 13-26 (2011)

Published
2012

35. Evidence for a central origin of the low-frequency oscillation in RR-interval variability.

Author

Cooley, R L, Montano, Nicola, Cogliati, C, Van De Borne, Philippe, Richenbacher, W, Oren, R, Somers, Virend Kristen, Cooley, R L, Montano, Nicola, Cogliati, C, Van De Borne, Philippe, Richenbacher, W, Oren, R, and Somers, Virend Kristen

Abstract

Short-term variability of RR interval and blood pressure occurs predominantly at low frequency (LF; approximately 0.1 Hz) and high frequency (approximately 0.25 Hz). The arterial baroreflex is thought to be the predominant determinant of the LF component of RR variability. Patients with severe congestive heart failure (CHF) have an attenuated or absent LF oscillation in RR variability. The left ventricular assist device (LVAD) offers a unique possibility for analysis of spectral oscillations in RR interval independent of any effects of blood pressure that influence these oscillations via the baroreflex., Case Reports, Journal Article, Research Support, Non-U.S. Gov't, Research Support, U.S. Gov't, P.H.S., info:eu-repo/semantics/published

Published
1998

36. Altered cardiovascular variability in obstructive sleep apnea.

Author

Narkiewicz, K, Montano, Nicola, Cogliati, C, Van De Borne, Philippe, Dyken, M E, Somers, Virend Kristen, Narkiewicz, K, Montano, Nicola, Cogliati, C, Van De Borne, Philippe, Dyken, M E, and Somers, Virend Kristen

Abstract

Altered cardiovascular variability is a prognostic indicator for cardiovascular events. Patients with obstructive sleep apnea (OSA) are at an increased risk for cardiovascular disease. We tested the hypothesis that OSA is accompanied by alterations in cardiovascular variability, even in the absence of overt cardiovascular disease., Journal Article, Research Support, Non-U.S. Gov't, Research Support, U.S. Gov't, P.H.S., info:eu-repo/semantics/published

Published
1998

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