Literature DB >> 35846487

Sepsis and Its Impact on Outcomes in Elderly Patients Admitted to a Malaysian Intensive Care Unit.

Wan Fadzlina Wan Muhd Shukeri1, Mohd Basri Mat Nor2, Azrina Md Ralib2.   

Abstract

Sepsis is an important cause of morbidity and mortality in elderly patients, but there is a scarcity of data on sepsis in this specific cohort. We performed this study to review the impact of sepsis on outcomes in elderly patients admitted to our local intensive care unit (ICU). This was a secondary analysis of prospectively collected data of 159 consecutive adult patients with sepsis admitted to an ICU of a tertiary hospital in Malaysia over a three-year period. Of the 159 patients analysed, elderly patients constituted 18.9% of the cohort. Fifty percent of the older patients died within 30 days, compared to 24% of younger patients (P = 0.005). On multivariate analysis, old age was found to be independently predictive of 30-day mortality with an adjusted odds ratio (OR) of 2.5 (95% confidence interval [CI]: 1.05, 6.01) compared to younger patients (P = 0.021). In a Kaplan-Meier analysis, survival probability was significantly lower in patients of an older age compared to younger patients (P = 0.015). In conclusion, mortality from sepsis is considerably higher in elderly patients, with age as an independent risk factor for mortality. © Penerbit Universiti Sains Malaysia, 2022.

Entities:  

Keywords:  elderly; intensive care unit; mortality; sepsis; septic shock

Year:  2022        PMID: 35846487      PMCID: PMC9249427          DOI: 10.21315/mjms2022.29.3.14

Source DB:  PubMed          Journal:  Malays J Med Sci        ISSN: 1394-195X


Introduction

Sepsis, a syndrome of dysregulated host response to infection, is an important cause of morbidity and mortality in the older population (1). Unfortunately, studies on the diagnosis, management and prognostication of sepsis usually exclude the elderly cohort. In Malaysia, the burden of sepsis remains high, being the top reason for intensive care unit (ICU) admission nationwide, with an associated in-hospital mortality rate in excess of 50% (2). Despite the magnitude of such problems, there is a dearth of available local data on sepsis, particularly in the elderly cohort. The aims of this study were (1) to describe the clinical characteristics, (2) to review the association of sepsis at ICU admission with mortality and other outcomes and (3) to assess the independent value of old age for mortality in critically ill elderly patients diagnosed with sepsis. There is no clear definition of elderly patients admitted to an ICU. In this manuscript and following the World Health Organization (WHO), the word ‘elderly’ was considered for an age frame of 65 years old or more.

Methods

Study Design and Participants

This was a secondary analysis of prospectively collected data performed in the ICU of a major tertiary hospital in Malaysia over a 3-year period. The aim of the original study was to assess the prognostic performance of a multi-marker approach in critically ill patients with sepsis and has been previously reported (3). A total of 159 patients who fulfilled the Sepsis-3 criteria were recruited. The protocol used in that study was approved by the local medical research and ethics committee and included consent for secondary analysis of the collected data.

Data Collection

For the 159 patients, relevant baseline data were retrieved. These included the following: i) demographic data, i.e. age, sex and body mass index; ii) clinical data, i.e. admission category, the severity of illness measured as a baseline Simplified Acute Physiological Score II (SAPS II), a Sequential Organ Failure Assessment score, the presence of septic shock, the Charlson Comorbidity Index, primary sites of infection, the need for organ support and the proportion of patients who had limitations of life-sustaining therapy; iii) laboratory data, i.e. the presence of bacteraemia and baseline inflammatory biomarkers, including C-reactive protein, interleukin-6, procalcitonin and white blood cell count; iv) primary outcome data, i.e. 30-day mortality; and v) secondary outcome data, i.e. the duration of mechanical ventilation, the length of ICU stay and the length of hospital stay. We also calculated the modified SAPS II and Charlson Comorbidity Index by subtracting the point for age, to remove the impact of age on the severity of illness and comorbidities, respectively. For descriptive purposes, the proportions of ICU and in-hospital mortality were also described.

Statistical Analysis

Continuous data are presented as mean with standard deviation (SD), while categorical data are presented as frequency (percentage). Patients were classified as elderly (aged 65 years old and above) and young (aged less than 65 years old). A comparison of continuous data was performed using an independent t-test, while a comparison of categorical data was performed using a chi-squared test. The independent value of old age for mortality was determined using binary logistic regression analysis, with 30-day mortality as the dependant variable and baseline characteristics with P-values less than 0.15 as covariates. The independent value of old age was expressed as an odds ratio (OR) with a 95% confidence interval (CI). The survival probability between the elderly and young groups was compared using Kaplan-Meier survival curves. P-values of less than 0.05 were considered statistically significant. Statistical analysis was performed using IBM SPSS version 24.0.

Results

Baseline Demographic, Clinical and Laboratory Characteristics

During the 3-year study period, the number of ICU admissions at our centre was 3,297, of which 276 (8.4%) patients were adults who were admitted with suspected sepsis. Among these 276 patients, 164 (59.4%) were recruited in the original study. For this analysis, 159 patients who fulfilled the revised Sepsis-3 criteria were studied. The baseline characteristics of these 159 patients with sepsis are presented in Table 1. The elderly populations constituted 18.9% (n = 30) of the study population, of which one patient belonged in the very elderly group (aged more than 80 years old). The mean age was 71 (SD = 5) years old in the elderly group compared to 48 (SD = 16) years old in the young group (P < 0.0001). The elderly group was found to have a higher SAPS II of 51 (SD = 17) compared to 43 (SD = 16) in the young group (P = 0.021). However, after removing the point for age, there was no statistically significant difference between the groups in the modified SAPS II. The Charlson Comorbidity Index was also higher in the elderly group at 3.8 (SD = 1.6) compared to the young group at 1.3 (SD = 2.1) (P < 0.0001), but there was no statistically significant difference in the modified score, that is after removing the point for age. The most common site of infection in the elderly group was the lungs, similar to that of the young group. The two groups were also similar including in terms of the severity of organ failure, the severity of sepsis, the need for organ support and the level of baseline inflammatory biomarkers. Compared to the young group, the elderly group had more limitations of life-sustaining therapy (33.3% versus 4.7%, P < 0.0001), ICU mortality (26.7% versus 11.6%, P < 0.0001) and in-hospital mortality (46.7% versus 17.1%, P < 0.0001).
Table 1

Baseline demographics, clinical characteristics and outcome of the entire subjects

VariablesYoung (n = 129)Elderly (n = 30)P-value



DemographicMean (SD)n (%)Mean (SD)n (%)
Age (years old)48 (16)71 (5)< 0.0001
Sex (male)85 (65.9)24 (80.0)0.134
BMI (kg/m2)26.4 (7.2)25.2 (3.8)0.374
Clinical
Admission category0.972
 Medical95 (73.6)22 (73.3)
 Surgical34 (26.4)8 (26.7)
Severity of illness
 SAPS II43 (16)51 (17)0.021
 Modified SAPS II39 (15)37 (17)0.564
 SOFA9 (4)9 (5)0.666
 Septic shock27 (20.9)10 (33.3)0.148
Comorbidities
 Charlson Comorbidity Index1.3 (2.1)3.8 (1.6)< 0.0001
 Modified Charlson Comorbidity0.9 (1.9)1.3 (1.6)0.331
 Index
Primary sites of infection
 Lungs72 (55.8)18 (60.0)0.677
 Abdomen12 (9.3)3 (10.0)0.906
 Soft tissue11 (8.5)2 (6.7)0.738
 Urinary tract6 (4.7)3 (10.0)0.253
 Nervous system8 (6.2)-0.162
Organ support
 Inotropic/vasopressor27 (20.9)10 (33.3)0.148
 Mechanical ventilation122 (94.6)29 (96.7)0.637
 RRT41 (31.8)11 (36.7)0.608
Limitations of life-sustaining therapy6 (4.7)10 (33.3)< 0.001
Laboratory
 Bacteraemia21 (16.3)6 (20.0)0.625
 CRP73.8 (81.1)102.8 (48.8)0.479
 IL-6397.8 (355.8)409.6 (379.9)0.871
 PCT61.4 (173.2)48.9 (107.4)0.706
 WBC18.1 (10.6)15.5 (7.7)0.219
ICU-mortality15 (11.6)8 (26.7)0.035
In-hospital mortality22 (17.1)14 (46.7)< 0.001
30-day mortality31 (24.0)15 (50.0)< 0.001

Notes: Data are expressed as mean (SD) or frequencies (%); The results of the comparison between the two groups were analysed by the independent t-test for continuous variables or the chi-squared test for categorical variables; BMI = body mass index; CRP = C-reactive protein; IL-6 = interleukin-6; PCT = procalcitonin; RRT = renal replacement therapy; SAPS II = Simplified Acute Physiological Score II; SOFA = Sequential Organ Failure Assessment; WBC = white blood cells count

Association of Older Age and Primary Outcome

The primary outcome of 30-day mortality was reached in 46 out of 159 (28.9%) patients in this study. Of particular note, older age was associated with higher 30-day mortality, ranging from 31 out of 129 (24%) patients aged < 65 years old compared to 15 out of 30 (50%) patients aged ≥ 65 years old (P = 0.005) (Figure 1). After adjusting for sex and the severity of sepsis (septic shock), old age remains an independent predictor of mortality in sepsis with an adjusted OR of 2.51 (95% CI: 1.05, 6.01; P = 0.039) (Table 2). In addition to age, higher sepsis severity (septic shock) was also found to be independently predictive of 30-day mortality with an adjusted OR of 3.87 (95% CI: 1.76, 8.52; P = 0.001). In the Kaplan-Meier analysis, survival probability was significantly lower in patients of older age compared to younger patients (log rank test, P = 0.015) (Figure 2).
Figure 1

Association of older age with 30-day mortality in sepsis patients admitted to ICU

Table 2

Independent value of old age for 30-day mortality after adjusting for sex, comorbidities and severity of sepsis

Odd ratio95% Confidence intervalP-value
Old age2.511.05, 6.010.039
Male sex1.650.71, 3.840.248
Septic shock3.871.76, 8.520.001
Figure 2

Kaplan-Meier plot showing survival probability in erderly versus non-erderly in the entire sepsis cohort

Association of Older Age and Secondary Outcome

In this study, older age was not significantly associated with the secondary outcome of duration of mechanical ventilation, length of ICU stay or length of hospital stay.

Discussion

This secondary analysis was performed with the primary intention of studying the impact of sepsis on mortality in elderly patients admitted to our local ICU. Several studies have shown that elderly patients admitted to the ICU have higher mortality rates as compared to their younger counterparts (4–5). Similarly, in our study, we found that patients aged 65 years old or older had a significantly higher 30-day mortality compared to young patients (50% versus 24%, P = 0.005) with sepsis. Current evidence as to whether old age is associated with mortality in sepsis remains conflicted. In line with some studies by others (6–7), we found in our study that age is an independent risk factor for death, with an OR of dying of 2.5 as compared to young patients, after adjusting for potential confounders, including the severity of sepsis. This increase in mortality in the older population was also independent of comorbidities and the severity of illness at admission, as there was no significant difference in the modified Charlson Comorbidity Index and modified SAPS II between the old and young groups. In contrast, other studies have found no association between age and death (8–9), including a recent post-hoc analysis of the VIP1 multinational cohort in Europe whereby sepsis at admission was not independently associated with 30-day mortality in their very elderly ICU cohort (10). Various factors could have led to a different result being obtained in our local setting, such as variations in patient characteristics, implicated pathogens and their resistance pattern as well as differences in diagnostic and treatment modalities being practised in different settings. The strength of our study is that it is focused on the septic subgroup (sepsis and septic shock) and to our knowledge, this is the first available evidence in the current literature which provides local data about outcomes for elderly patients with sepsis. The burden of sepsis is highest in low- and middle-income countries (11) but contemporary scientific evidence and guidelines on sepsis management almost exclusively originate in high-income countries. Most of the interventional sepsis trials invariably exclude elderly patients who are at a higher risk of death. Conversely, these are the individuals most likely to develop sepsis and thus should be the targets of such controlled investigations. However, we must acknowledge that this study has a few pertinent limitations which have hindered us from performing a more comprehensive analysis in this field. First, a relatively small number of 159 sepsis patients were analysed, of which the elderly constituted only 18.9% of the study cohort. This proportion is far lower than the currently available global data, although these are almost exclusively reported in high-income countries. Second, the result in our study is from a single-centred data set, and as such, the question as to whether the study is generalisable to external populations is unknown. Third, as this was a secondary analysis, some important variables which may have influenced the outcome were not available for analysis. Further epidemiological studies are therefore warranted to determine the true incidence, risk factors and outcomes for the elderly patients being admitted with sepsis to our local ICU.

Conclusion

This secondary analysis study shows that patients with sepsis aged 65 years old or over in our ICU had higher mortality rates compared to younger patients. Old age was found to be an independent risk factor for mortality in critically ill patients with sepsis, although this finding needs to be confirmed in a further prospective cohort study, which is currently ongoing at our centre.
  10 in total

1.  Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care.

Authors:  D C Angus; W T Linde-Zwirble; J Lidicker; G Clermont; J Carcillo; M R Pinsky
Journal:  Crit Care Med       Date:  2001-07       Impact factor: 7.598

2.  The effect of age on the development and outcome of adult sepsis.

Authors:  Greg S Martin; David M Mannino; Marc Moss
Journal:  Crit Care Med       Date:  2006-01       Impact factor: 7.598

3.  The epidemiology of sepsis in the United States from 1979 through 2000.

Authors:  Greg S Martin; David M Mannino; Stephanie Eaton; Marc Moss
Journal:  N Engl J Med       Date:  2003-04-17       Impact factor: 91.245

4.  Severe sepsis and its impact on outcome in elderly and very elderly patients admitted in intensive care unit.

Authors:  Prashant Nasa; Deven Juneja; Omender Singh; Rohit Dang; Vikas Arora
Journal:  J Intensive Care Med       Date:  2011-03-24       Impact factor: 3.510

5.  Sepsis mortality score for the prediction of mortality in septic patients.

Authors:  Wan Fadzlina Wan Muhd Shukeri; Azrina Md Ralib; Nor Zamzila Abdulah; Mohd Basri Mat-Nor
Journal:  J Crit Care       Date:  2017-09-06       Impact factor: 3.425

Review 6.  Bacteremia and sepsis in older adults.

Authors:  Timothy D Girard; E Wesley Ely
Journal:  Clin Geriatr Med       Date:  2007-08       Impact factor: 3.076

Review 7.  Severe sepsis and septic shock in the elderly: An overview.

Authors:  Prashant Nasa; Deven Juneja; Omender Singh
Journal:  World J Crit Care Med       Date:  2012-02-04

Review 8.  The global burden of sepsis: barriers and potential solutions.

Authors:  Kristina E Rudd; Niranjan Kissoon; Direk Limmathurotsakul; Sotharith Bory; Birungi Mutahunga; Christopher W Seymour; Derek C Angus; T Eoin West
Journal:  Crit Care       Date:  2018-09-23       Impact factor: 9.097

9.  Risk factors for mortality in elderly and very elderly critically ill patients with sepsis: a prospective, observational, multicenter cohort study.

Authors:  Ignacio Martin-Loeches; Maria Consuelo Guia; Maria Sole Vallecoccia; David Suarez; Mercedes Ibarz; Marian Irazabal; Ricard Ferrer; Antonio Artigas
Journal:  Ann Intensive Care       Date:  2019-02-04       Impact factor: 6.925

10.  Sepsis at ICU admission does not decrease 30-day survival in very old patients: a post-hoc analysis of the VIP1 multinational cohort study.

Authors:  Mercedes Ibarz; Ariane Boumendil; Lenneke E M Haas; Marian Irazabal; Hans Flaatten; Dylan W de Lange; Alessandro Morandi; Finn H Andersen; Guido Bertolini; Maurizio Cecconi; Steffen Christensen; Loredana Faraldi; Jesper Fjølner; Christian Jung; Brian Marsh; Rui Moreno; Sandra Oeyen; Christina Agwald Öhman; Bernardo Bollen Pinto; Ivo W Soliman; Wojciech Szczeklik; Andreas Valentin; Ximena Watson; Tilemachos Zaferidis; Bertrand Guidet; Antonio Artigas
Journal:  Ann Intensive Care       Date:  2020-05-13       Impact factor: 6.925

  10 in total

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