Long-term Mortality Among Hospitalized Adults with Sepsis in Uganda: a Prospective Cohort Study Article Swipe
Paul W. Blair
,
Stephen Okello
,
Abdullah Wailagala
,
Rodgers R Ayebare
,
David Francis Olebo
,
Mubaraka Kayiira
,
Stacy M. Kemigisha
,
Willy Kayondo
,
Melissa K. Gregory
,
Jeffrey W. Koehler
,
Randal J. Schoepp
,
Helen Badu
,
CDR Nehkonti Adams
,
Prossy Naluyima
,
Charmagne Beckett
,
Peter Waitt
,
Mohammed Lamorde
,
Hannah Kibuuka
,
Danielle V. Clark
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1101/2023.09.14.23295526
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1101/2023.09.14.23295526
Background Twelve-month mortality in sepsis survivors has not been previously characterized in sub-Saharan Africa. Methods Hospitalized adults with ≥ 2 modified systemic inflammatory response syndrome (SIRS) criteria (temperature < 36°C or > 38°C, heart rate ≥ 90 beats per minute, or respiratory rate ≥ 20 breaths per minute) were enrolled at a tertiary care centre from October 2017 to August 2022. Multiple clinical blood and respiratory molecular and antigen assays were used to identify infectious etiologies. Baseline demographics were evaluated for risk of death by 1 month and 12 months using Cox proportional hazards regression. Results Among 435 participants, the median age was 45.0 years (interquartile range [IQR]: 28.0, 60.0) years, 57.6% were female, and 31.7% were living with HIV. Malaria (17.7%) followed by tuberculosis (4.7%), and bacteremia (4.6%) were the most common detected causes of illness. Overall, 49 (11.3%) participants died, and 24 participants died between one month and one year (49.0% of deaths and 5.5% of the cohort). Female participants had a decreased risk of death by 12-months (unadjusted hazard ratio [HR]: 0.37; 95% confidence interval [CI]: 0.21 to 0.66). Conclusions The burden of sepsis may be underestimated in sub-Saharan Africa due to limited long-term follow-up.
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Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2023.09.14.23295526
- https://www.medrxiv.org/content/medrxiv/early/2023/09/15/2023.09.14.23295526.full.pdf
- OA Status
- green
- Cited By
- 2
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386830418
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4386830418Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2023.09.14.23295526Digital Object Identifier
- Title
-
Long-term Mortality Among Hospitalized Adults with Sepsis in Uganda: a Prospective Cohort StudyWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-09-15Full publication date if available
- Authors
-
Paul W. Blair, Stephen Okello, Abdullah Wailagala, Rodgers R Ayebare, David Francis Olebo, Mubaraka Kayiira, Stacy M. Kemigisha, Willy Kayondo, Melissa K. Gregory, Jeffrey W. Koehler, Randal J. Schoepp, Helen Badu, CDR Nehkonti Adams, Prossy Naluyima, Charmagne Beckett, Peter Waitt, Mohammed Lamorde, Hannah Kibuuka, Danielle V. ClarkList of authors in order
- Landing page
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https://doi.org/10.1101/2023.09.14.23295526Publisher landing page
- PDF URL
-
https://www.medrxiv.org/content/medrxiv/early/2023/09/15/2023.09.14.23295526.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.medrxiv.org/content/medrxiv/early/2023/09/15/2023.09.14.23295526.full.pdfDirect OA link when available
- Concepts
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Medicine, Interquartile range, Hazard ratio, Sepsis, Prospective cohort study, Confidence interval, Internal medicine, Proportional hazards model, Cohort, Mortality rate, Bacteremia, Cohort study, Pediatrics, Antibiotics, Biology, MicrobiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2025: 1, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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23Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.rate | 35, 43 |
| abstract_inverted_index.risk | 82, 166 |
| abstract_inverted_index.used | 72 |
| abstract_inverted_index.were | 49, 71, 79, 113, 117, 130 |
| abstract_inverted_index.with | 18, 119 |
| abstract_inverted_index.year | 152 |
| abstract_inverted_index.0.37; | 175 |
| abstract_inverted_index.2022. | 61 |
| abstract_inverted_index.28.0, | 109 |
| abstract_inverted_index.31.7% | 116 |
| abstract_inverted_index.36°C | 30 |
| abstract_inverted_index.57.6% | 112 |
| abstract_inverted_index.60.0) | 110 |
| abstract_inverted_index.Among | 97 |
| abstract_inverted_index.[CI]: | 179 |
| abstract_inverted_index.[HR]: | 174 |
| abstract_inverted_index.beats | 38 |
| abstract_inverted_index.blood | 64 |
| abstract_inverted_index.death | 84, 168 |
| abstract_inverted_index.died, | 142 |
| abstract_inverted_index.heart | 34 |
| abstract_inverted_index.month | 87, 149 |
| abstract_inverted_index.range | 107 |
| abstract_inverted_index.ratio | 173 |
| abstract_inverted_index.using | 91 |
| abstract_inverted_index.years | 105 |
| abstract_inverted_index.(4.6%) | 129 |
| abstract_inverted_index.(49.0% | 153 |
| abstract_inverted_index.(SIRS) | 26 |
| abstract_inverted_index.0.66). | 182 |
| abstract_inverted_index.38°C, | 33 |
| abstract_inverted_index.Africa | 193 |
| abstract_inverted_index.August | 60 |
| abstract_inverted_index.Female | 161 |
| abstract_inverted_index.[IQR]: | 108 |
| abstract_inverted_index.adults | 17 |
| abstract_inverted_index.assays | 70 |
| abstract_inverted_index.burden | 185 |
| abstract_inverted_index.causes | 135 |
| abstract_inverted_index.centre | 55 |
| abstract_inverted_index.common | 133 |
| abstract_inverted_index.deaths | 155 |
| abstract_inverted_index.hazard | 172 |
| abstract_inverted_index.living | 118 |
| abstract_inverted_index.median | 101 |
| abstract_inverted_index.months | 90 |
| abstract_inverted_index.sepsis | 5, 187 |
| abstract_inverted_index.years, | 111 |
| abstract_inverted_index.(11.3%) | 140 |
| abstract_inverted_index.(17.7%) | 122 |
| abstract_inverted_index.(4.7%), | 126 |
| abstract_inverted_index.Africa. | 14 |
| abstract_inverted_index.Malaria | 121 |
| abstract_inverted_index.Methods | 15 |
| abstract_inverted_index.October | 57 |
| abstract_inverted_index.Results | 96 |
| abstract_inverted_index.antigen | 69 |
| abstract_inverted_index.between | 147 |
| abstract_inverted_index.breaths | 46 |
| abstract_inverted_index.female, | 114 |
| abstract_inverted_index.hazards | 94 |
| abstract_inverted_index.limited | 196 |
| abstract_inverted_index.minute) | 48 |
| abstract_inverted_index.minute, | 40 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Baseline | 77 |
| abstract_inverted_index.Multiple | 62 |
| abstract_inverted_index.Overall, | 138 |
| abstract_inverted_index.clinical | 63 |
| abstract_inverted_index.cohort). | 160 |
| abstract_inverted_index.criteria | 27 |
| abstract_inverted_index.detected | 134 |
| abstract_inverted_index.enrolled | 50 |
| abstract_inverted_index.followed | 123 |
| abstract_inverted_index.identify | 74 |
| abstract_inverted_index.illness. | 137 |
| abstract_inverted_index.interval | 178 |
| abstract_inverted_index.modified | 21 |
| abstract_inverted_index.response | 24 |
| abstract_inverted_index.syndrome | 25 |
| abstract_inverted_index.systemic | 22 |
| abstract_inverted_index.tertiary | 53 |
| abstract_inverted_index.12-months | 170 |
| abstract_inverted_index.decreased | 165 |
| abstract_inverted_index.evaluated | 80 |
| abstract_inverted_index.long-term | 197 |
| abstract_inverted_index.molecular | 67 |
| abstract_inverted_index.mortality | 3 |
| abstract_inverted_index.survivors | 6 |
| abstract_inverted_index.Background | 1 |
| abstract_inverted_index.bacteremia | 128 |
| abstract_inverted_index.confidence | 177 |
| abstract_inverted_index.follow-up. | 198 |
| abstract_inverted_index.infectious | 75 |
| abstract_inverted_index.previously | 10 |
| abstract_inverted_index.(unadjusted | 171 |
| abstract_inverted_index.Conclusions | 183 |
| abstract_inverted_index.etiologies. | 76 |
| abstract_inverted_index.regression. | 95 |
| abstract_inverted_index.respiratory | 42, 66 |
| abstract_inverted_index.sub-Saharan | 13, 192 |
| abstract_inverted_index.(temperature | 28 |
| abstract_inverted_index.Hospitalized | 16 |
| abstract_inverted_index.Twelve-month | 2 |
| abstract_inverted_index.demographics | 78 |
| abstract_inverted_index.inflammatory | 23 |
| abstract_inverted_index.participants | 141, 145, 162 |
| abstract_inverted_index.proportional | 93 |
| abstract_inverted_index.tuberculosis | 125 |
| abstract_inverted_index.characterized | 11 |
| abstract_inverted_index.participants, | 99 |
| abstract_inverted_index.(interquartile | 106 |
| abstract_inverted_index.underestimated | 190 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5087616514 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 19 |
| corresponding_institution_ids | https://openalex.org/I1280259254, https://openalex.org/I145311948, https://openalex.org/I2799853436 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8799999952316284 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.69413998 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |