Table 1 Background characteristics of the 26 studies included.

From: Prognostic factors for mortality in invasive pneumococcal disease in adult: a system review and meta-analysis

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

  1. ain-hospital mortality;
  2. b30-day mortality;
  3. c28-day mortality.
  4. dUnited States of America, Canada, Spain, United Kingdom, Sweden.
  5. eSouth Africa, United States of America, Sweden, Spain, New Zealand, Taiwan, Argentina, Brazil, Hong Kong, and France.
  6. NOS: Newcastle–Ottawa Scale score; score ranges from 0 (worst) to 9 (best).