Clinical and health inequality risk factors for non-COVID-related sepsis during the global COVID-19 pandemic : a national case-control and cohort study
© 2023 The Authors..
Background: Sepsis, characterised by significant morbidity and mortality, is intricately linked to socioeconomic disparities and pre-admission clinical histories. This study aspires to elucidate the association between non-COVID-19 related sepsis and health inequality risk factors amidst the pandemic in England, with a secondary focus on their association with 30-day sepsis mortality.
Methods: With the approval of NHS England, we harnessed the OpenSAFELY platform to execute a cohort study and a 1:6 matched case-control study. A sepsis diagnosis was identified from the incident hospital admissions record using ICD-10 codes. This encompassed 248,767 cases with non-COVID-19 sepsis from a cohort of 22.0 million individuals spanning January 1, 2019, to June 31, 2022. Socioeconomic deprivation was gauged using the Index of Multiple Deprivation score, reflecting indicators like income, employment, and education. Hospitalisation-related sepsis diagnoses were categorised as community-acquired or hospital-acquired. Cases were matched to controls who had no recorded diagnosis of sepsis, based on age (stepwise), sex, and calendar month. The eligibility criteria for controls were established primarily on the absence of a recorded sepsis diagnosis. Associations between potential predictors and odds of developing non-COVID-19 sepsis underwent assessment through conditional logistic regression models, with multivariable regression determining odds ratios (ORs) for 30-day mortality.
Findings: The study included 224,361 (10.2%) cases with non-COVID-19 sepsis and 1,346,166 matched controls. The most socioeconomic deprived quintile was associated with higher odds of developing non-COVID-19 sepsis than the least deprived quintile (crude OR 1.80 [95% CI 1.77-1.83]). Other risk factors (after adjusting comorbidities) such as learning disability (adjusted OR 3.53 [3.35-3.73]), chronic liver disease (adjusted OR 3.08 [2.97-3.19]), chronic kidney disease (stage 4: adjusted OR 2.62 [2.55-2.70], stage 5: adjusted OR 6.23 [5.81-6.69]), cancer, neurological disease, immunosuppressive conditions were also associated with developing non-COVID-19 sepsis. The incidence rate of non-COVID-19 sepsis decreased during the COVID-19 pandemic and rebounded to pre-pandemic levels (April 2021) after national lockdowns had been lifted. The 30-day mortality risk in cases with non-COVID-19 sepsis was higher for the most deprived quintile across all periods.
Interpretation: Socioeconomic deprivation, comorbidity and learning disabilities were associated with an increased odds of developing non-COVID-19 related sepsis and 30-day mortality in England. This study highlights the need to improve the prevention of sepsis, including more precise targeting of antimicrobials to higher-risk patients.
Funding: The UK Health Security Agency, Health Data Research UK, and National Institute for Health Research.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:66 |
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| Enthalten in: |
EClinicalMedicine - 66(2023) vom: 16. Dez., Seite 102321 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Zhong, Xiaomin [VerfasserIn] |
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| Links: |
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| Themen: |
COVID-19 pandemic |
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| Anmerkungen: |
Date Revised 14.02.2024 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1016/j.eclinm.2023.102321 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM366831941 |
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| 100 | 1 | |a Zhong, Xiaomin |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Clinical and health inequality risk factors for non-COVID-related sepsis during the global COVID-19 pandemic |b a national case-control and cohort study |
| 264 | 1 | |c 2023 | |
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| 500 | |a Date Revised 14.02.2024 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a © 2023 The Authors. | ||
| 520 | |a Background: Sepsis, characterised by significant morbidity and mortality, is intricately linked to socioeconomic disparities and pre-admission clinical histories. This study aspires to elucidate the association between non-COVID-19 related sepsis and health inequality risk factors amidst the pandemic in England, with a secondary focus on their association with 30-day sepsis mortality | ||
| 520 | |a Methods: With the approval of NHS England, we harnessed the OpenSAFELY platform to execute a cohort study and a 1:6 matched case-control study. A sepsis diagnosis was identified from the incident hospital admissions record using ICD-10 codes. This encompassed 248,767 cases with non-COVID-19 sepsis from a cohort of 22.0 million individuals spanning January 1, 2019, to June 31, 2022. Socioeconomic deprivation was gauged using the Index of Multiple Deprivation score, reflecting indicators like income, employment, and education. Hospitalisation-related sepsis diagnoses were categorised as community-acquired or hospital-acquired. Cases were matched to controls who had no recorded diagnosis of sepsis, based on age (stepwise), sex, and calendar month. The eligibility criteria for controls were established primarily on the absence of a recorded sepsis diagnosis. Associations between potential predictors and odds of developing non-COVID-19 sepsis underwent assessment through conditional logistic regression models, with multivariable regression determining odds ratios (ORs) for 30-day mortality | ||
| 520 | |a Findings: The study included 224,361 (10.2%) cases with non-COVID-19 sepsis and 1,346,166 matched controls. The most socioeconomic deprived quintile was associated with higher odds of developing non-COVID-19 sepsis than the least deprived quintile (crude OR 1.80 [95% CI 1.77-1.83]). Other risk factors (after adjusting comorbidities) such as learning disability (adjusted OR 3.53 [3.35-3.73]), chronic liver disease (adjusted OR 3.08 [2.97-3.19]), chronic kidney disease (stage 4: adjusted OR 2.62 [2.55-2.70], stage 5: adjusted OR 6.23 [5.81-6.69]), cancer, neurological disease, immunosuppressive conditions were also associated with developing non-COVID-19 sepsis. The incidence rate of non-COVID-19 sepsis decreased during the COVID-19 pandemic and rebounded to pre-pandemic levels (April 2021) after national lockdowns had been lifted. The 30-day mortality risk in cases with non-COVID-19 sepsis was higher for the most deprived quintile across all periods | ||
| 520 | |a Interpretation: Socioeconomic deprivation, comorbidity and learning disabilities were associated with an increased odds of developing non-COVID-19 related sepsis and 30-day mortality in England. This study highlights the need to improve the prevention of sepsis, including more precise targeting of antimicrobials to higher-risk patients | ||
| 520 | |a Funding: The UK Health Security Agency, Health Data Research UK, and National Institute for Health Research | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a COVID-19 pandemic | |
| 650 | 4 | |a Deprivation | |
| 650 | 4 | |a Health inequality | |
| 650 | 4 | |a Morbidity | |
| 650 | 4 | |a Primary care | |
| 650 | 4 | |a Sepsis | |
| 700 | 1 | |a Ashiru-Oredope, Diane |e verfasserin |4 aut | |
| 700 | 1 | |a Pate, Alexander |e verfasserin |4 aut | |
| 700 | 1 | |a Martin, Glen P |e verfasserin |4 aut | |
| 700 | 1 | |a Sharma, Anita |e verfasserin |4 aut | |
| 700 | 1 | |a Dark, Paul |e verfasserin |4 aut | |
| 700 | 1 | |a Felton, Tim |e verfasserin |4 aut | |
| 700 | 1 | |a Lake, Claire |e verfasserin |4 aut | |
| 700 | 1 | |a MacKenna, Brian |e verfasserin |4 aut | |
| 700 | 1 | |a Mehrkar, Amir |e verfasserin |4 aut | |
| 700 | 1 | |a Bacon, Sebastian C J |e verfasserin |4 aut | |
| 700 | 1 | |a Massey, Jon |e verfasserin |4 aut | |
| 700 | 1 | |a Inglesby, Peter |e verfasserin |4 aut | |
| 700 | 1 | |a Goldacre, Ben |e verfasserin |4 aut | |
| 700 | 0 | |a OpenSAFELY Collaborative |e verfasserin |4 aut | |
| 700 | 1 | |a Hand, Kieran |e verfasserin |4 aut | |
| 700 | 1 | |a Bladon, Sian |e verfasserin |4 aut | |
| 700 | 1 | |a Cunningham, Neil |e verfasserin |4 aut | |
| 700 | 1 | |a Gilham, Ellie |e verfasserin |4 aut | |
| 700 | 1 | |a Brown, Colin S |e verfasserin |4 aut | |
| 700 | 1 | |a Mirfenderesky, Mariyam |e verfasserin |4 aut | |
| 700 | 1 | |a Palin, Victoria |e verfasserin |4 aut | |
| 700 | 1 | |a van Staa, Tjeerd Pieter |e verfasserin |4 aut | |
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| 700 | 1 | |a Goldacre, Ben |e investigator |4 oth | |
| 700 | 1 | |a Curtis, Helen J |e investigator |4 oth | |
| 700 | 1 | |a Morley, Jessica |e investigator |4 oth | |
| 700 | 1 | |a Mehrkar, Amir |e investigator |4 oth | |
| 700 | 1 | |a Bacon, Sebastian Cj |e investigator |4 oth | |
| 700 | 1 | |a Hickman, George |e investigator |4 oth | |
| 700 | 1 | |a Croker, Richard |e investigator |4 oth | |
| 700 | 1 | |a Evans, David |e investigator |4 oth | |
| 700 | 1 | |a Ward, Tom |e investigator |4 oth | |
| 700 | 1 | |a DeVito, Nicholas J |e investigator |4 oth | |
| 700 | 1 | |a Fisher, Louis |e investigator |4 oth | |
| 700 | 1 | |a Green, Amelia Ca |e investigator |4 oth | |
| 700 | 1 | |a Massey, Jon |e investigator |4 oth | |
| 700 | 1 | |a Smith, Rebecca M |e investigator |4 oth | |
| 700 | 1 | |a Hulme, William J |e investigator |4 oth | |
| 700 | 1 | |a Davy, Simon |e investigator |4 oth | |
| 700 | 1 | |a Andrews, Colm D |e investigator |4 oth | |
| 700 | 1 | |a Hopcroft, Lisa Em |e investigator |4 oth | |
| 700 | 1 | |a Dillingham, Iain |e investigator |4 oth | |
| 700 | 1 | |a Higgins, Rose |e investigator |4 oth | |
| 700 | 1 | |a Cunningham, Christine |e investigator |4 oth | |
| 700 | 1 | |a Wiedemann, Milan |e investigator |4 oth | |
| 700 | 1 | |a Nab, Linda |e investigator |4 oth | |
| 700 | 1 | |a Maude, Steven |e investigator |4 oth | |
| 700 | 1 | |a Macdonald, Orla |e investigator |4 oth | |
| 700 | 1 | |a Butler-Cole, Ben Fc |e investigator |4 oth | |
| 700 | 1 | |a O'Dwyer, Thomas |e investigator |4 oth | |
| 700 | 1 | |a Stables, Catherine L |e investigator |4 oth | |
| 700 | 1 | |a Wood, Christopher |e investigator |4 oth | |
| 700 | 1 | |a Brown, Andrew D |e investigator |4 oth | |
| 700 | 1 | |a Speed, Victoria |e investigator |4 oth | |
| 700 | 1 | |a Bridges, Lucy |e investigator |4 oth | |
| 700 | 1 | |a Schaffer, Andrea L |e investigator |4 oth | |
| 700 | 1 | |a Walters, Caroline E |e investigator |4 oth | |
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| 700 | 1 | |a Cockburn, Jonathan |e investigator |4 oth | |
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