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1. Prognostic value of estimated glomerular filtration rate in hospitalised older patients (over 65) with COVID-19: a multicentre, European, observational cohort study

Author

Carter, Ben, Ramsay, Euan A., Short, Roxanna, Goodison, Sarah, Lumsden, Jane, Khan, Amarah, Braude, Philip, Vilches-Moraga, Arturo, Quinn, Terence J., McCarthy, Kathryn, Hewitt, Jonathan, Myint, Phyo K., Bruce, Eilidh, Einarsson, Alice, McCrorie, Kirsty, Aggrey, Ken, Bilan, Jimmy, Hartrop, Kerr, Murphy, Caitlin, McGovern, Aine, Clini, Enrico, Guaraldi, Giovanni, Verduri, Alessia, Bisset, Carly, Alexander, Ross, Kelly, Joanna, Murphy, Caroline, Mutasem, Tarik El Jichi, Singh, Sandeep, Paxton, Dolcie, Harris, Will, Moug, Susan, Galbraith, Norman, Bhatti, Emma, Edwards, Jenny, Duffy, Siobhan, Espinoza, Maria Fernanda Ramon, Kneen, Thomas, Dafnis, Anna, Allafi, Hala, Vidal, Maria Narro, Price, Angeline, Pearce, Lyndsay, Lee, Thomas, Sangani, Shefali, Garcia, Madeline, Davey, Charlotte, Jones, Sheila, Lunstone, Kiah, Cavenagh, Alice, Silver, Charlotte, Telford, Thomas, and Simmons, Rebecca

Subjects
Male, Chronic kidney failure, SARS-CoV-2, RC952-954.6, COVID-19, Prognosis, Dose-response, Cohort Studies, Geriatrics, Mortality, eGFR, Humans, Female, Renal Insufficiency, Chronic, Geriatrics and Gerontology, Aged, Glomerular Filtration Rate
Abstract

Background The reduced renal function has prognostic significance in COVID-19 and it has been linked to mortality in the general population. Reduced renal function is prevalent in older age and thus we set out to better understand its effect on mortality. Methods Patient clinical and demographic data was taken from the COVID-19 in Older People (COPE) study during two periods (February–June 2020 and October 2020–March 2021, respectively). Kidney function on admission was measured using estimated glomerular filtration rate (eGFR). The primary outcomes were time to mortality and 28-day mortality. Secondary outcome was length of hospital stay. Data were analysed with multilevel Cox proportional hazards regression, and multilevel logistic regression and adjusted for individual patient clinical and demographic characteristics. Results One thousand eight hundred two patients (55.0% male; median [IQR] 80 [73–86] years) were included in the study. 28-day mortality was 42.3% (n = 742). 48% (n = 801) had evidence of renal impairment on admission. Using a time-to-event analysis, reduced renal function was associated with increased in-hospital mortality (compared to eGFR ≥ 60 [Stage 1&2]): eGFR 45–59 [Stage 3a] aHR = 1.26 (95%CI 1.02–1.55); eGFR 30–44 [Stage 3b] aHR = 1.41 (95%CI 1.14–1.73); eGFR 1–29 [Stage 4&5] aHR = 1.42 (95%CI 1.13–1.80). In the co-primary outcome of 28-day mortality, mortality was associated with: Stage 3a adjusted odds ratio (aOR) = 1.18 (95%CI 0.88–1.58), Stage 3b aOR = 1.40 (95%CI 1.03–1.89); and Stage 4&5 aOR = 1.65 (95%CI 1.16–2.35). Conclusion eGFR on admission is a good independent predictor of mortality in hospitalised older patients with COVID-19 population. We found evidence of a dose-response between reduced renal function and increased mortality.

Published
2022

2. Age and frailty are independently associated with increased covid-19 mortality and increased care needs in survivors: results of an international multi-centre study

Author

Alsahab, Mustafa, Beishon, Lucy, Brown, Bryony, Burn, Elinor, Burton, Jenni K, Cox, Natalie, Dani, Melanie, Elhadi, Muhammed, Freshwater, Sarah, Gaunt, Victoria, Gordon, Adam, Goujon, Marie, Hale, Matthew, Hughes, Terry, Jackson, Thomas A, Jelley, Benjamin, Khan, Asma, Khiroya, Heena, Lal, Rajni, Madden, Katy, Magill, Laura, Masoli, Jane, Masud, Tahir, McCluskey, Lauren, McNeela, Natalie, Mohammedseid-Nurhussien, Awolkhier, Moorey, Hannah, Lochlainn, Mary Ni, Nirantharakumar, Krishnarajah, Okoth, Kelvin, Osuafor, Christopher N, Patterson, Katherine, Pearson, Grace M E, Perry, Rita, Pettitt, Michala, Pigott, Jennifer, Pinkney, Thomas, Quinn, Terence, Reynolds, Abigail, Richardson, Sarah, Sanyal, Nik, Seed, Adam, Sleeman, Isobel, Soo, Chee, Steves, Claire, Strain, W David, Taylor, Joanne, Torsney, Kelli, Welch, Carly, Wilson, Daisy, Witham, Miles, Elazeem, Hossam Aldein S Abd, Abdelhafez, Mohammed H, Abdelmalak, Amir, Abdelwahab, Omar A, Abdulhadi, Osama M A S, Adewole, Olubayode, Ahmad, Mohammed, Ahmed, Eltayeb A, Ahmed, Hazem, Ahmed, Islam A, Akcay, Mertcan, Akdeniz, Yeşim, Akın, Emrah, Akladious, Carolyn, Alessandri, Francesco, Ali, Ali, Aljafari, Abdulmalek, Aljafari, Abdulmoiz, Al-Sadawi, Mohammed, Al-Sodani, Lobna, Altintoprak, Fatih, Amaratungaz, Gitanjali, Amer, Jocelyn, Amini, Sylvia, Amir, Taha, Anandarajah, Cheran, Anders, Rachael, Ansari, Muhammed H, Appiah, Kingsley, Atia, Jolene, Atkin, Catherine, Aujayeb, Avinash, Awad, Elsayed M, Azab, Mohammed A, Azam, Mohammad T, Aziz, Sally, Azzam, Ahmed Y, Babar, Laxmi, Babb, Laura, Badh, Manpreet, Baguneid, Clare, Bailey, Emily, Baili, Efstratia, Baldwin, Sarah, Baloyiannis, Ioannis, Bannerjee, Moulinath, Barnard, Anna, Barra, Fabio, Bashir, Hannah, Bawor, Monica, Bayhan, Zülfü, Belcher, James, Belgamwar, Ravindra, Bentley, Corrina, Birchenough, Amy, Bo, Yen Nee J, Boden, Hayley R, Bouhuwaish, Ahmad, Brachini, Gioia, Bremner, Laura, Bridgwater, Hannah, Bryant, Catherine, Budd, Gabrielle, Budd, Sharon, Budzikoski, Adam, Bulla, Reem, Buondonno, Antonio, Burden, Nicole, Butt, Hejab, Capoglu, Recayi, Caracostea, Andra, Cardoso, Rifa, Carr, Alexis, Carrasco-Prats, Milagros, Cattel, Caterina, Ceccarelli, Giancarlo, Cecere, Giuseppe, Charalabopoulos, Alexandros, Charsley, Evelyn, Cheney-Lowe, Hannah, Chevallier, Theodore, Choudhry, Asad J, Ciccarone, Flavia, Cicerchia, Pierfranco M, Cirillo, Bruno, Collins, Fatma D, Comerford, Victoria, Cordie, Ahmed, Coulter, Siobhan, Coulthard, Nick, Cox, Catrin, Cox, Victoria, Crowe, Andrew, Cullen, Jack, Cummings, Jean, Cunningham, Niamh, Curley, Daniel, Currie, Hannah, Daly, Madeleine, Darley, Jay, Dattani, Nikhita, Davakis, Spyridon, Davies, Rowan, De Paola, Gilda, De Toma, Giorgio, Del Valle-Ruiz, Sergio, Deldar, Benyamin, Demir, Hakan, Desai, Arjun, Desai, Nirali, Devaney, Alice, Dew, Lindsey, Dhesi, Jugdeep, Dias, Maria, Dick, Gordon, Doddamani, Parveen, Dogra, Gurinder, Doll, Tina, Dooley, Hannah C, Dost, Samiullah, Dotchin, Catherine, Dowell, Hannah, Draghita, Ioan M, Dundas, James M, Duranti, Giulia, Dusara, Hiren, Dwivedi, Rajesh, Dyer, Adam H, Eastaugh, Alison, Edwards, Elinor, Elghazaly, Shrouk M, Elmehrath, Ahmed O, Elrick, Hope, El-Shazly, Mostafa, Emery, Alexander, Etchill, Eric W, Evans, Sarah, Evison, Felicity, Fairhead, Cassandra, Faulkner, Margherita, Felska, Agnieszka, Fernandez, Antia, Fernández-Fernández, Pedro V, Ferraiolo, Antonella, Ferrero, Simone, Fiori, Enrico, Firat, Necattin, Fisk, Gracie, Fleck, Anna, Fonsi, Giovanni B, Gabre-Kidan, Alodia, Gallo, Gaetano, Gandhi, Ratnam, Garner, Madeleine, Georgiou, Nikolaos, Gerretsen, Hannah, Ghannam, Nourhan A A, Ghobrial, Andrew, Ghobrial, Hedra, Ghufoor, Zaynub, Gibbon, Jake, Gilbert, Georgia F, Giles, Marie, Giménez-Francés, Clara, Gonullu, Emre, Gray, Amy, Gray, Joshua H, Green, Deirdre, Greene, Charlotte, Griffin, Ellanna, Griffith, Karla, Grubb, Anthony, Guan, Yue, Guerero, Daniel N, Gupta, Ayushi, Gustavino, Claudio, Guzman, Laurenny, Hadreiez, Ahmed K M, Hajiioannou, Jiannis, Hanji, Deevia, Madhavan, Deepthy Hari, Harmantepe, Tarık, Harrison, Patrick, Hart, Barbara, Haslam, Aidan, Haunton, Victoria, Haut, Elliott R, Heinsohn, Torben, Hennah, Lindsay, Hetta, Helal F, Hickman, Alexander, Hobill, Abigail, Hogan, Patrick C P, Hogan, Vesna, Holmes, Elizabeth, Honney, Katie, Hood, Katharine, Hopkinson, Katherine, Howells, Lara, Hrouda, Nicole, Hunsley, Danielle, Hurst, William, Hussein, Rand A, Ibrahim, Mohamed Eltaher A A, Ibtida, Ishmam, Ibukunoluwakitan, Aina, Ishlek, Irem, Iyer, Rishi, Jackson, Karl, Jackson, Rosie, James, Ellen, Jarvis, Hayley, Jeffs, Sophie, Jenko, Nathan, Jeyakumar, Sasha, Kabir, Shahriar, Kainth, Harjinder, Kalloo, Jason, Kanzaria, Akhil, Karapanou, Amalia, Kardaman, Nuha, Karthikeyan, Sandeep, Karunatilleke, Anne, Kelly, Mairead, Kelly, Nicola I, Khalid, Hesham, Khan, Haris, Khan, Muhammad S, King, Matthew, Kneen, Thomas, Kok, Li, Kratochwila, Chiara, Kuzeva, Aneliya, Lapolla, Pierfrancesco, Lau, Rebecca, Law, Kar Yee, Leadbetter, Aimee, Lee, Gabriel, Lee, Helena, Levinson, Gavriella, Lewis, Grace, Liakakos, Theodore, Lim, Stephen, Lis, Danielle, Livesey, Emma, López-Morales, Pedro, Lowes, Lily, Lunt, Eleanor, Lyon, Emily, Madan, Suvira, Majid, Zeinab, Malapati, Harsha, Man, Jade, Mandane, Baguiasri, Manning, Sarah H, Mantoglu, Baris, Martínez-Sanz, Nuria, Marx, William, Masood, Almontacer E B, Maughan, Tom, Mawhinney, Jamie, Maxfield, Dominic, Mayer, Jordan, Maynard, Henry, McDonald, Claire, McGovern, Aine, Mclachlan, Sophie, Medina-Manuel, Esther, Meneghini, Simona, Metcalf, Michelle, Millwood-Hargrave, John, Mingoli, Andrea, Miu, Kelvin, Mohamed, Fawsiya, Mohamed, Soha M, Hussein, Aliae A R Mohamed, Mohammad, Abdulkader, Mohammed, Aaliya, Momen, Ahmed A, Moomo, Farhana, Mora-Guzmán, Ismael, Moriarty, Lizzie, Morrin, Hamilton, Morris, Claire, Moss, Nicholas, Moustafa, Mohamed M, Mpoura, Maria, Mubin, Mohammed, Muhtaroglu, Ali, Muir, Georgina, Mulhern, Stephanie, Muller, Daniel, Murphy, Declan C, Muzammil, Bushra, Nadkarni, Varun, Nageh, Mariam Albatoul, NasrEldin, Yasmin K, Nawaz, Wasim, Nguyen, Hanna, Cheallaigh, Cliona Ni, Noar, Alexander, North, Samuel, Nwolu, Favour, O’Docherty, Alice, Odutola, Omoteniola, O’Dwyer, Sinead, Ogochukwu, Olebu, O’Mahony, Catherine, Orlando, Lia, Osterdahl, Marc, Page, Christina, Panayotidis, Ismini, Pancholi, Shivam, Parkin, Jessica, Passby, Lauren C, Pastor-Pérez, Patricia, Patel, Harnish, Patel, Shefali, Penfold, Rose, Perinpanathan, Rupini, Perivoliotis, Konstantinos, Perra, Teresa, Pinkney, Martha, Pinotti, Enrico, Porcu, Alberto, Price, Angeline, Pugliese, Francesco, Puri, Prabhleen, Pytraczyk, Sylvia, Qaiser, Yusra, Qurashi, Maria, Radenkovic, Dina, Rajeswaran, Thurkka, Rapaport, Sarah F, Razzak, Tahmina, Reilly, Lara, Reynolds, Paul, Richardson, Alexandra, Roberts, Amelia, Roberts-Rhodes, Charlotte, Robinson, Tanya, Rocca, Aldo, Ross-Skinner, Emily, Ruiz-Marín, Miguel, Ryall, Rebecca, Saad, Alshaimaa M, Saad, Mahmoud M, Sadiq, Ambreen, Sammarco, Giuseppe, Sampanis, Michail A, Sanghvi, Hazel, Sapienza, Paolo, Sayers, Ross, Scott, Luca, Sen, Michael, Shaban, Mosab A A, Shakespeare, Kathleen T, Shaw, Ellie, Shaw, Hannah, Sheldrake, Jonathan, Sim, Sing Yang, Simonelli, Luigi, Sipsas, Nikolaos V, Sivam, Jarita, Sivarajan, Sri, Smith, Jennifer, Speranza, Fabio, Spice, Claire, Stafford, Amanda, Stambollouian, Katharine, Stevens, Kent A, Stewart, Jack, Stratton, Emma, Street, Hannah, Surtees, Michael, Swinnerton, Emma, Taher, Ahmed S A, Tait, Caroline, Taylor, Amybel, Thake, Miriam, Thin, Katie, Thould, Hannah, Thyn, Thyn, To, Benjaman, Tobiss, Hannah, Toppley, Kathryn, Townsend, Liam, Tullo, Ellen, Tzovaras, George, Umeadi, Anthony, Vaidya, Hrisheekesh, Valero-Soriano, María, Varden, Rosanna, Vergani, Vittoria, Vervoort, Dominique, Vescio, Giuseppina, Vettasseri, Mark, Virk, Madiha, Vyas, Vaishali, Wagland, Joanne, Wallis, Stephanie, Warner, Chloe, Watkins, Eleanor, Watson, Hannah, Webb, Rachael, Welsh, Sarah H, West, Ruth, Whelan, Elisha, Whitney, Julie, Whitsey, Mark, Wilcock, Catherine, Wilkinson, Iain, Williams, David, Williamson, Megan, Willott, Ruth H, Wimalasundera, Mettha, Win, Yu Lelt, Winter, Laura, Worrall, Stephanie, Wright, Rebecca, Yeo, Natalie, Yeung, Eirene, Yigit, Merve, Yildiz, Yasin A, Yusuf, Humza, Zambon, Martina, Zaw, Hein, and Elabedeen, Omar Zein

Subjects
Male, Aging, medicine.medical_specialty, Frail Elderly, COVID-19, delirium, frailty, mortality, transitions of care, Cohort Studies, AcademicSubjects/MED00280, Interquartile range, Internal medicine, medicine, Dementia, Humans, Survivors, Aged, Proportional hazards model, business.industry, SARS-CoV-2, Hazard ratio, Odds ratio, General Medicine, medicine.disease, Confidence interval, frailty,COVID-19, Ageing, Delirium, Female, medicine.symptom, Geriatrics and Gerontology, business, Cohort study, Research Paper
Abstract

Introduction Increased mortality has been demonstrated in older adults with coronavirus disease 2019 (COVID-19), but the effect of frailty has been unclear. Methods This multi-centre cohort study involved patients aged 18 years and older hospitalised with COVID-19, using routinely collected data. We used Cox regression analysis to assess the impact of age, frailty and delirium on the risk of inpatient mortality, adjusting for sex, illness severity, inflammation and co-morbidities. We used ordinal logistic regression analysis to assess the impact of age, Clinical Frailty Scale (CFS) and delirium on risk of increased care requirements on discharge, adjusting for the same variables. Results Data from 5,711 patients from 55 hospitals in 12 countries were included (median age 74, interquartile range [IQR] 54–83; 55.2% male). The risk of death increased independently with increasing age (>80 versus 18–49: hazard ratio [HR] 3.57, confidence interval [CI] 2.54–5.02), frailty (CFS 8 versus 1–3: HR 3.03, CI 2.29–4.00) inflammation, renal disease, cardiovascular disease and cancer, but not delirium. Age, frailty (CFS 7 versus 1–3: odds ratio 7.00, CI 5.27–9.32), delirium, dementia and mental health diagnoses were all associated with increased risk of higher care needs on discharge. The likelihood of adverse outcomes increased across all grades of CFS from 4 to 9. Conclusion Age and frailty are independently associated with adverse outcomes in COVID-19. Risk of increased care needs was also increased in survivors of COVID-19 with frailty or older age.

Published
2021

3. Multiple House Occupancy is Associated with Mortality in Hospitalised Patients with Covid-19

Author

Bruce, Eilidh, Carter, Ben, Quinn, Terence J, Verduri, Alessia, Pearson, Oliver, Vilches-Moraga, Arturo, Price, Angeline, Mcgovern, Aine, Evans, Louis, Mccarthy, Kathryn, Hewitt, Jonathan, Moug, Susan, Myint, Phyo K, Behalf Of Cope Study Team, Null, Einarsson, Alice, Fleck, Anna, Bisset, Carly, Alexander, Ross, Guaraldi, Giovanni, Murphy, Caroline, Kelly, Joanna, Short, Roxanna, Braude, Philip, El Jichi Mutasem, Tarik, Singh, Sandeep, Paxton, Dolcie, Harris, Will, Hesford, James, Holloway, Mark, Mitchell, Emma, Rickard, Frances, Galbraith, Norman, Bhatti, Emma, Edwards, Jenny, Duffy, Siobhan, Barlow-Pay, Fenella, Pearce, Lyndsey, Garcia, Madeline, Sangani, Shefali, Kneen, Thomas, Lee, Thomas, Davey, Charlotte, Jones, Sheila, Lunstone, Kiah, Cavenagh, Alice, Silver, Charlotte, Telford, Thomas, Simmons, Rebecca, and Stechman, Michael

Subjects
Male, Occupancy, Original Manuscript, Logistic regression, Cohort Studies, Pandemic, Coronavirus, Covid-19, Multiple House occupancy, medicine, Humans, AcademicSubjects/MED00860, AcademicSubjects/SOC01210, Pandemics, Aged, COPD, Proportional hazards model, business.industry, SARS-CoV-2, Public Health, Environmental and Occupational Health, COVID-19, medicine.disease, Hospitalization, Heart failure, Population study, Female, business, AcademicSubjects/SOC02610, Demography, Cohort study
Abstract

Background In response to the COVID-19 pandemic, many countries mandated staying at home to reduce transmission. This study examined the association between living arrangements (house occupancy numbers) and outcomes in COVID-19. Methods Study population was drawn from the COPE study, a multicentre cohort study. House occupancy was defined as: living alone; living with one other person; living with multiple other people; or living in a nursing/residential home. Outcomes were time from admission to mortality and discharge (Cox regression), and Day 28 mortality (logistic regression) analyses were adjusted for key comorbidities and covariates including admission: age, sex, smoking, heart failure, admission C-reactive protein (CRP), chronic obstructive pulmonary disease, estimated glomerular filtration rate, frailty and others. Results A total of 1584 patients were included from 13 hospitals across UK and Italy: 676 (42.7%) were female, 907 (57.3%) were male, median age was 74 years (range: 19–101). At 28 days, 502 (31.7%) had died. Median admission CRP was 67, 82, 79.5 and 83 mg/l for those living alone, with someone else, in a house of multiple occupancy and in a nursing/residential home, respectively. Compared to living alone, living with anyone was associated with increased mortality: within a couple [adjusted hazard ratios (aHR) = 1.39, 95% confidence intervals (CI) 1.09–1.77, P = 0.007]; living in a house of multiple occupancy (aHR = 1.67, 95% CI 1.17–2.38, P = 0.005); and living in a residential home (aHR = 1.36, 95% CI 1.03–1.80, P = 0.031). Conclusion For patients hospitalized with COVID-19, those living with one or more people had an increased association with mortality, they also exhibited higher CRP indicating increased disease severity suggesting they delayed seeking care.

Published
2021

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