| Literature DB >> 34088948 |
Hao Chen1, Hiromi Matsumoto2, Nobuyuki Horita2, Yu Hara2, Nobuaki Kobayashi2, Takeshi Kaneko2.
Abstract
Risk factors associated with mortality in invasive pneumococcal disease remain unclear. The present work is a meta-analysis of studies that enrolled only patients with invasive pneumococcal disease and reported on mortality. Potentially eligible reports were identified from PubMed, CHAHL, and Web of Science, comprising 26 reports in total. Overall mortality for invasive pneumococcal disease was reported as 20.8% (95% confidence interval (CI) 17.5-24%). Factors associated with mortality were age (odds ratio (OR) 3.04, 95% CI 2.5-3.68), nursing home (OR 1.62, 95% CI 1.13-2.32), nosocomial infection (OR 2.10, 95% CI 1.52-2.89), septic shock (OR 13.35, 95% CI 4.54-39.31), underlying chronic diseases (OR 2.34, 95% CI 1.78-3.09), solid organ tumor (OR 5.34, 95% CI 2.07-13.74), immunosuppressed status (OR 1.67, 95% CI 1.31-2.14), and alcohol abuse (OR 3.14, 95% CI 2.13-4.64). Mortality rates with invasive pneumococcal disease remained high, and these findings may help clinicians provide appropriate initial treatment for this disease.Entities:
Mesh:
Year: 2021 PMID: 34088948 PMCID: PMC8178309 DOI: 10.1038/s41598-021-91234-y
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1PRISMA flow chart for study selection.
Background characteristics of the 26 studies included.
| Authors | Year | Country | N | Mortality | Risk factors in summary | NOS |
|---|---|---|---|---|---|---|
| Farinas-Alvarez | 2000 | Spain | 156 | 33.9%a | Age, severity of illness, development of complications, parenteral nutrition | 7 |
| Kalin | 2000 | Swedend | 460 | 11.5%a | Age > 65 years, nursing home, chronic lung disease, acute physiology score | 7 |
| Fernndez-Guerrero | 2003 | Spain | 156 | 33.9%b | Multilobe pneumonia, inappropriate therapy, obtundation, nosocomial infection | 6 |
| Yu | 2003 | USA | 844 | 16.9%a | Age > 65 years, critical illness, immunodeficiency, nosocomial infection, underlying chronic disease, organism susceptibility | 8 |
| Maugein | 2003 | France | 436 | 20.6%a | Age > 60 years, immunodeficiency, focus of infection, nosocomial infection | 7 |
| Neuman | 2007 | USA | 1574 | 13.0%a | Age, male, race, nosocomial infection, immunodeficiency, focus of infection, organism susceptibility, others | 7 |
| Alanee | 2007 | Georgiae | 796 | 19.0%a | Age ≥ 65 years, serotype, focus of infection, immunosuppression, chronic lung disease, suppurative lung complications | 8 |
| Lin | 2010 | Taiwan | 302 | 19.2%b | Age ≥ 65 years, nosocomial infection, immunosuppression, solid organ tumor, liver disease, heart disease | 7 |
| Lujan | 2010 | Spain | 299 | 11.0%b | Age, serotype, CCI, PSI | 7 |
| Mooiweer | 2011 | Netherlands | 204 | 16.0%a | Age appropriate treatment, CRP level | 7 |
| Song | 2012 | Korea | 150 | 26.7%b | Age ≥ 65 years, solid organ tumor, focus of infection, neutropenia, APACHE II score | 7 |
| Kang | 2013 | Korea | 136 | 26.5%b | Immunosuppression, septic shock, development of ARDS, levofloxacin resistance | 8 |
| Suzuki | 2013 | Japan | 135 | 25.0%a | Age, sex, CCI, septic shock, antibiotic selection | 7 |
| Rudnick | 2013 | Canada | 6404 | 16.4%a | Age, nursing home, immunosuppression, underlying chronic disease, alcohol abuse, focus of infection, serotype | 7 |
| Regev-Yochay | 2013 | Israel | 460 | 18.0%a | Age, metastatic malignancy, focus of infection, chronic renal disease | 7 |
| Cohen | 2015 | South Africa | 3953 | 34.0%a | Age ≥ 65 years, focus of infection, serotype, HIV, province poverty level | 6 |
| Hanada | 2016 | Japan | 505 | 24.1%c | Age, underlying disease, mechanical ventilation, serotype | 7 |
| Hughes | 2016 | UK | 1316 | 18.5%b | Age, sex, focus of infection, underlying disease, serotype | 7 |
| Wagenvoort | 2016 | Netherlands | 960 | 7.0%b | Age ≥ 65 years, immunosuppression, chronic kidney disease, chronic lung disease, chronic cardiovascular disease | 7 |
| Askim | 2016 | Norwegian | 414 | 12.3%b | Age, sex, CCI, comorbidities | 7 |
| Lee | 2018 | Taiwan | 134 | 16.4%b | Serotype, CCI, Pitt bacteremia score, inappropriate treatment | 7 |
| Kim | 2018 | Korea | 319 | 34.2%a | Age ≥ 65 years, focus of infection, Pitt bacteremia score | 7 |
| Regev-Yochay | 2018 | Israel | 2345 | 30.2%a | Age ≥ 65 years, focus of infection, risk group, serotype | 7 |
| Lemay | 2019 | Canada | 1719 | 24.9%b | Age, male, homeless, alcohol abuse, immunosuppression, focus of infection, serotype | 7 |
| Houseman | 2019 | UK | 2510 | 19.0%b | Age, male, focus of infection, risk group, alcohol abuse, serotype | 7 |
| Man | 2020 | Hong Kong | 792 | 11.5%b | Age > 65 years, chronic kidney disease, septic shock, positive urinary antigen test | 7 |
ain-hospital mortality;
b30-day mortality;
c28-day mortality.
dUnited States of America, Canada, Spain, United Kingdom, Sweden.
eSouth Africa, United States of America, Sweden, Spain, New Zealand, Taiwan, Argentina, Brazil, Hong Kong, and France.
NOS: Newcastle–Ottawa Scale score; score ranges from 0 (worst) to 9 (best).
Figure 2Risk factor of Age > 64 years.
Figure 3Risk factor of septic shock.
Figure 4Risk factor of community-acquired infection versus.