Literature DB >> 32414416

Poor outcome of octogenarians admitted to ICU due to periprosthetic joint infections: a retrospective cohort study.

Emre Yilmaz1, Alexandra Poell2, Hinnerk Baecker2, Sven Frieler2, Christian Waydhas2,3, Thomas A Schildhauer2, Uwe Hamsen2.   

Abstract

BACKGROUND: Even though surgical techniques and implants have evolved, periprosthetic joint infection (PJI) remains a serious complication leading to poor postoperative outcome and a high mortality. The literature is lacking in studies reporting the mortality of very elderly patients with periprosthetic joint infections, especially in cases when an intensive care unit (ICU) treatment was necessary. We therefore present the first study analyzing patients with an age 80 and higher suffering from a periprosthetic joint infection who had to be admitted to the ICU.
METHODS: All patients aged 80 and higher who suffered from a PJI (acute and chronic) after THR or TKR and who have been admitted to the ICU have been included in this retrospective, observational, single-center study.
RESULTS: A total of 57 patients met the inclusion criteria. The cohort consisted of 24 males and 33 females with a mean age of 84.49 (± 4.0) years. The mean SAPS II score was 27.05 (± 15.7), the mean CCI was 3.35 (± 2.28) and the most patient had an ASA score of 3 or higher. The PJI was located at the hip in 71.9% or at the knee in 24.6%. Two patients (3.5%) suffered from a PJI at both locations. Sixteen patients did not survive the ICU stay. Non-survivors showed significantly higher CCI (4.94 vs. 2.73; p = 0.02), higher SAPS II score (34.06 vs. 24.32; p = 0.03), significant more patients who underwent an invasive ventilation (132.7 vs. 28.1; p = 0.006) and significantly more patients who needed RRT (4.9% vs. 50%; p < 0.001). In multivariate analysis, RRT (odds ratio (OR) 15.4, CI 1.69-140.85; p = 0.015), invasive ventilation (OR 9.6, CI 1.28-71.9; p = 0.028) and CCI (OR 1.5, CI 1.004-2.12; p = 0.048) were independent risk factors for mortality.
CONCLUSION: Very elderly patients with PJI who needs to be admitted to the ICU are at risk to suffer from a poor outcome. Several risk factors including a chronic infection, high SAPS II Score, high CCI, invasive ventilation and RRT might be associated with a poor outcome.

Entities:  

Keywords:  Elderly; Intensive care unit; Octogenarions; Periprosthetic joint infection; infection

Mesh:

Year:  2020        PMID: 32414416      PMCID: PMC7229634          DOI: 10.1186/s12891-020-03331-0

Source DB:  PubMed          Journal:  BMC Musculoskelet Disord        ISSN: 1471-2474            Impact factor:   2.362


Background

The term “silver tsunami” describes the progressively ageing population in developed countries and the huge socioeconomic shift that is expected to effect various clinical fields including the „rise and burden of hip and knee osteoarthritis “[1]. According to Kiadaliri et al. the number of prevalent osteoarthritis cases increased by 43% between 1990 and 2015. The number of knee osteoarthritis alone has doubled in prevalences since the mid-twentieth century [2]. Thus, the estimated prevalence of Total Hip (THR) and Total Knee Replacements (TKR) in the United States was 2,552,815 and 4,700,621 respectively in 2010. Out of these 640,740 (THR) and 1,087,400 (TKR) were at the age of 80 and higher [3]. Knee and hip arthroplasty are a succesful treatment for osteoarthritis in terms of pain relief, function recovery and enhancing life quality [4, 5]. Even though surgical techniques and implants have evolved, periprosthetic joint infection (PJI) remains a serious complication leading to poor postoperative outcome and a high mortality [6]. The incidence of PJI after total joint arthroplasty differs according to localization and type between 1 and 3% [7]. Up to now, there is no gold standard treatment for patients with PJI. In addition to the Musculoskeletal Infection Society (MSIS) criteria introduced by the American Academy of Orthopedic Surgeons (AAOS) in 2011 [8, 9], the concept of Trampuz and Zimmerli is well known in Europe [10, 11]. Furthermore, treatment of PJI often includes a prolonged hospital stay, multiple surgeries, prolonged antimicrobial treatment, protheses and medical supplies which can lead to a 24 times higher treatment cost [12, 13]. Several different risk factors have been described for PJI after Total Joint Arthroplasty including obesity, urinary tract infection, diabetes and rheumatoid arthritis [6]. However, the literature is conflicted when it comes to determine age as an independent risk factor. In developed countries the proportion of elderly patients admitted to the Intensive Care Unit (ICU) increased dramatically [14, 15]. The literature is lacking in studies reporting the mortality of very elderly patients with periprosthetic joint infections, especially in cases when an ICU treatment was necessary. We therefore present the first study analyzing patients with an age 80 and higher suffering from a periprosthetic joint infection who had to be admitted to the ICU.

Methods

The study has been approved by the local Ethical Committee (No. of approval 18–6260-BR). From January 2012 and December 2016, all patients aged 80 and higher who suffered from a PJI (acute and chronic according to the definition as described by Li et al. [16]) after THR or TKR and who have been admitted to the ICU have been included in this retrospective, observational, single-center study. In defining periprosthetic joint infection all patients fullfilled criteria according to the European Bone and Joint Infection Society (EBJIS) and Musculoskeletal Infection Society (Table 1) [8, 9, 17]. The ICU consisted of 13-bed surgical intensive care unit in a Level 1 university and referral hospital for PJI in Germany. The ICU is accompanied by a stand-alone Intermediate Care Unit (IMC). The IMC ressourses and therapeutic options include an intensivist-led 24 h presence of a resident experienced in intensive care, monitoring corresponding to ICU-standard, non-invasive ventilation and continuous vasopressor-administration. Therefore, most surgical patients suffering PJI at risk or not stable enough for normal ward are admitted to the IMC. Severity of illness were assessed using the Simplified Acute Physiology Score II (SAPS II) [18], the American Society of Anaesthesiologists Score (ASA) [19] and the Charlson Comorbidity Index (CCI) [20].
Table 1

Definition of Periprosthetic Joint Infections according to the EBJIS criteria and Musculoskeletal Infection Society

EBJIS criteria
IClinical: sinus tract (fistula) or purulence around prosthesis
IICell count in joint aspiration: >  2000/μl leukocytes or > 70% polymorphonuclear granulocytes (PMN)
IIIHistology: inflammation in periprosthetic tissue (type 2 or 3 after Krenn Morawietz)
IVMicrobial growth in synovial fluid or > = 2 tissue samples (in cases of high virulent microbes like Staphylococcus aureus one sample is considered sufficient) or sonication fluid ≥50 CFU/ml
A PJI is diagnosed if at least one of the following criteria is fullfilled
Musculoskeletal Infection Society criteria
Definition of Periprosthetic Join Infection According to the International Consensus Group. This Is An Adaptation of the Musculoskeletal Infection Society Definition of PJI.
PJI Is Present When One of the Major Criteria Exists or Three Out of Five Minor Criteria Exist
Major Criteria
Two positive periprosthetic cultures with phenotypically identical organisms, OR
A sinus tract communicating with the joint, OR
Minor Criteria
1) Elevated serum C-reactive protein (CRP) AND erythrocyte sedimentation rate (ESR)
2) Elevated synovial fluid white blood cell (WBC) count OR ++change on leukocyte esterase test strip
3) Elevated synovial fluid polymorphonuclear neutrophil percentage (PMN%)
4) Positive histological analysis of periprosthetic tissue
5) A single positive culture
Definition of Periprosthetic Joint Infections according to the EBJIS criteria and Musculoskeletal Infection Society

Statistical analysis

Data were analyzed using SPSS version 21.0 (SSPS Inc., Chicago, IL) and Excel version 16.16.7 (Microsoft Corporation, Redmond, WA, USA). Univariate analysis was performed to compare demographics, surgical characteristics, and intensive care treatment. For categorical variables, frequency counts were computed and presented along with their percentages. For continuous variables, means were computed and presented along with their range. Mann Whitney U-test or Student’s T-Test were used, as appropriate. Statistical significance was set at p < 0.05. Multivariate analysis (binary logistic) was performed using the four most significant parameters in univariate analysis to determine independent risk factors for mortality.

Results

A total of 57 patients met the inclusion criteria. The cohort consisted of 24 males and 33 females with a mean age of 84.49 (± 4.0) years. The mean SAPS II score was 27.05 (± 15.7), the mean CCI was 3.35 (± 2.28) and the most patient had an ASA score of 3 or higher. The PJI was located at the hip in 71.9% or at the knee in 24.6%. Two patients (3.5%) suffered from a PJI at both locations. Most patients suffered from a chronic infection (86%) and underwent a planned surgical intervention (50.9%). The results are summarized in Tables 2, 3, 4.
Table 2

Patient demographics are summarized in Table 2

n = 57(Mean ± SD)n (%)
Baseline Factors
 Age (years)84.49 ± 4.0
 Sex (male)24 (42.1%)
 BMI*26.70 ± 5.25
 SAPS II*27.05 ± 15.7
 CCI*3.35 ± 2.28
 ASA Score*3.09 ± 0.58
 ASA Score ≥ 3*40 (87.8%)

*SAPS II Simplified Acute Physiology Score II; CCI Charlson Comorbidity Index; ASA American Society of Anaesthesiologists Score; BMI Body mass index

Table 3

Prosthetic Joint Infection locations are summarized in Table 3

n = 57(Mean ± SD)n (%)
Hip41 (71.9%)
Knee14 (24.6%)
Hip and Knee2 (3.5%)
Acute Infection (<  4 weeks)8 (14%)
Chronic Infection (>  4 weeks)49 (86%)
Number of surgical interventions since prothesis implantation2.19 ± 3.2 (0.10)
Table 4

Reasons for ICU admission are summarized in Table 4

n = 57(Mean ± SD)n (%)
Planned surgical intervention20 (50.9%)
Medical Reason12 (21.1%)
Unplanned surgical intervention16 (28.1%)
Transfer from other ICU7 (12.3%)
Patient demographics are summarized in Table 2 *SAPS II Simplified Acute Physiology Score II; CCI Charlson Comorbidity Index; ASA American Society of Anaesthesiologists Score; BMI Body mass index Prosthetic Joint Infection locations are summarized in Table 3 Reasons for ICU admission are summarized in Table 4 Sixteen patients did not survive the ICU stay. In univariate analysis, non-survivors showed significantly higher CCI (4.94 vs. 2.73; p = 0.02), higher SAPS II score (34.06 vs. 24.32; p = 0.03), significant more patients who underwent an invasive ventilation (132.7 vs. 28.1; p = 0.006) and significantly more patients who needed renal replacement therapy (RRT) (4.9% vs. 50%; p < 0.001). Results are summarized in Table 5. In multivariate analysis, RRT (odds ratio (OR) 15.4, CI 1.69–140.85; p = 0.015), invasive ventilation (OR 9.6, CI 1.28–71.9; p = 0.028) and CCI (OR 1.5, CI 1.004–2.12; p = 0.048) were independent risk factors for mortality (Table 6).
Table 5

Factors associated with poor mortality are summarized in Table 5

survivornon-survivorp-value
cases41 (71.9%)16 (28.1%)
Male gender17 (41%)7 (43%)0.87
Age, mean ± SD83.8 ± 3.386.2 ± 5.20.1
Days on ICU, mean ± SD10.1 ± 11.116.4 ± 16.50.1
CCI*, mean ± SD2.73 ± 2.044.94 ± 2.140.02
ASA score*, mean ± SD3.12 ± 0.513.00 ± 0.730.54
SAPS II Score*, mean ± SD24.32 ± 15.334.06 ± 14.80.03
BMI*, mean ± SD27.64 ± 5.6524.06 ± 2.550.03
Invasive ventilation, no(%)8 (20%)9 (56%)0.006
Hours of ventilation, median ± SD28.1 ± 41.9132.7 ± 143.30.06
RRT*, no (%)2 (4.9%)8 (50%)< 0.001
Number of surgical intervention during hospital stay2.3 ± 1.91.9 ± 1.50.3
Number of surgical intervention since prosthesis implantation, mean ± SD2.8 ± 3.50.7 ± 1.10.3
Localisation of PJI
 Hip, no (%)28 (68%)13 (81%)0.5
 Knee, no (%)11 (27%)3 (19%)0.5
 Knee and Hip2 (5%)00.5
 Transferred from other ICU2 (5%)5 (31%)0.006
Reason for ICU admission
 Unplanned surgical1420.26
 Unplanned medical840.26
 Scheduled surgical19100.26
 Acute Infection710.29

* CCI Charlson Comorbidity Index; ASA American Society of Anaesthesiologists Score; BMI Body mass index; RRT Renal replacement therapy; SAPS II Simplified Acute Physiology Score II; PJI Periprosthetic joint infection

Table 6

Multivariate logistic regression for mortality is shown in Table 6*

OR*95%-CI*p-value
CCI*1.51.004–2.120.048
Invasive ventilation9.61.28–71.90.028
RRT*15.41.69–140.850.015
Transferred from other ICU2.50.39–15.470.339

* OR Odds ratio; CI Confidence interval; CCI Charlson Comorbidity Index; RRT Renal replacement therapy

Factors associated with poor mortality are summarized in Table 5 * CCI Charlson Comorbidity Index; ASA American Society of Anaesthesiologists Score; BMI Body mass index; RRT Renal replacement therapy; SAPS II Simplified Acute Physiology Score II; PJI Periprosthetic joint infection Multivariate logistic regression for mortality is shown in Table 6* * OR Odds ratio; CI Confidence interval; CCI Charlson Comorbidity Index; RRT Renal replacement therapy

Discussion

This study presents the first study ever to analyze the outcome of octagenarions in the setting of PJI and ICU treatment. PJI is a devastating complication resulting in severe pain, functional impairment and high mortality [21]. Furthermore, the estimated costs for infection revision is expected to be as high as $ 1.62 billion in the United States alone [22]. A validated risk score to assess and predict PJI does not exist. However, several risk factors have been discussed in the setting of PJI. Zuh et al. reported in their systematic review that body mass index, diabetes mellitus, corticosteroid therapy; hypoalbuminaemia, rheumatoid arthritis, blood transfusion, presence of a wound drain, wound dehiscence, superficial surgical site infection, coagulopathy, malignancy, immunodepression, National Nosocomial Infections Surveillance (NNIS) score ≥ 2, prolonged operative time and previous surgery are potential risk factors for PJI [23]. Even though most of these factors were not analyzed in detail in our study the vast majority of our patients had an ASA score of 3 and higher. Maaloum et al. reported a mortality rate of 20% in their retrospective case series analyzing 41 patients (mean age: 71.8 ± 9.4 years) suffering from a PJI admitted to the ICU. They could show as well that a high SAPS II score and a high ASA score is associated with a high mortality rate [24]. We also observed a significantly higher CCI in non-survivors compared to patients who have survived (4.94 ± 2.14 vs. 2.73 ± 2.04; p = 0.02). The proportion of patients requiring a RRT (50% vs. 4.9%; p < 0001) or invasive ventilation (56% vs. 20%; p = 0.006) was significantly higher in the non-survivor group in our study. These findings have been reported by several studies [25] and the same trends were observed by Maaloum et al. with more patients requiring RRT (50% vs, 15%; p = 0.05) or mechanical ventilation (88% vs. 76%; p = 0.66) in the non-survivor group [24]. The literature is conflicted with respect to determine age as an independent risk factor on survival in elderly patients. Martin-Loeches et al. reported in their prospective multicenter study that septic patients aged 80 and over have a higher hospital mortality compared to patients younger than 80 [14]. However, Flaatten et al. could show that the Clinical Frailty Scale is inversely associated with the 30-day survival. While 76% of the patients classified as “fit” were estimated to survive at 30 days following ICU admission only 59% of the patients who were classified as “frail” were estimated to survive the 30-day follow-up [26]. Our results also suggest that age per se has a smaller impact on survival than other factors such as the CCI, SAPS II and RRT [26, 27]. We observed a significantly higher rate of patients transferred from another ICU (31% vs. 5%; p = 0.006) in the non-survivor group. This might be explained by a delayed therapy, especially in cases when the septic prothesis has not been removed in the transferring hospital or the adequate antibiotic treatment has not been started. We did not analyze the surgical treatment delay in patients who have been transferred to our ICU. Nevertheless, previous studies have shown that an immediate treatment within the first hours is associated with a reduction in hospital mortality in very old patients [14, 28]. Treatment of very elderly patients admitted to the ICU is complex and represents an ongoing challenge for surgeons and intensive care specialists. Even though systematic ICU admissions of elderly patients failed to reduce the mortality [29] an appropriate and systematic approach with precise predictions models are needed for this patient group [30, 31].

Limitations

This study has several limitations: It is an observational, non-comperative, single-center cohort study in a retrospective setting, and therefore we may have missed data points and there is potential for bias or residual confounding from factors we did not measure. The available literature is lacking in comparible studies. Furthermore, there is a huge variety in the definition of acute and periprosthetic joint infections in the literature ranging from 4 up to 12 weeks. Therefore, conclusion based on our results should be drawn carefully. However, this study is the first ever to report and analyze risk factors on survival in very elderly patients with PJI admitted to the ICU. More studies are warranted to better understand risk factors on mortality rates and offer these special patients the best possible treatment.

Conclusion

Very elderly patients with PJI who needs to be admitted to the ICU are at risk to suffer from a poor outcome. Several risk factors including a chronic infection, high SAPS II Score, high CCI, invasive ventilation and RRT might be associated with a poor outcome. Health care providers should inform these patients accordingly. The literature is lacking in studies analyzing this particular group of patients and further research is needed. Prospective multi-center cohort trials and comparative clinical trials represent a key area of opportunity for future studies.
  30 in total

Review 1.  Prosthetic-joint infections.

Authors:  Werner Zimmerli; Andrej Trampuz; Peter E Ochsner
Journal:  N Engl J Med       Date:  2004-10-14       Impact factor: 91.245

Review 2.  Prosthetic joint infections: update in diagnosis and treatment.

Authors:  Andrej Trampuz; Werner Zimmerli
Journal:  Swiss Med Wkly       Date:  2005-04-30       Impact factor: 2.193

3.  Mortality in elderly ICU patients: a cohort study.

Authors:  M S Nielsson; C F Christiansen; M B Johansen; B S Rasmussen; E Tønnesen; M Nørgaard
Journal:  Acta Anaesthesiol Scand       Date:  2013-10-13       Impact factor: 2.105

4.  Is frailty a prognostic factor for critically ill elderly patients?

Authors:  Muhammet Cemal Kizilarslanoglu; Ramazan Civelek; Mustafa Kemal Kilic; Fatih Sumer; Hacer Dogan Varan; Ozgur Kara; Gunes Arik; Melda Turkoglu; Gulbin Aygencel; Zekeriya Ulger
Journal:  Aging Clin Exp Res       Date:  2016-03-22       Impact factor: 3.636

5.  Mortality in elderly patients with a systematic ICU admission programme.

Authors:  Priya Venkatesan
Journal:  Lancet Respir Med       Date:  2017-10-26       Impact factor: 30.700

Review 6.  Prosthetic Joint Infections and Cost Analysis?

Authors:  F S Haddad; A Ngu; J J Negus
Journal:  Adv Exp Med Biol       Date:  2017       Impact factor: 2.622

7.  The impact of frailty on ICU and 30-day mortality and the level of care in very elderly patients (≥ 80 years).

Authors:  Hans Flaatten; Dylan W De Lange; Alessandro Morandi; Finn H Andersen; Antonio Artigas; Guido Bertolini; Ariane Boumendil; 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
Journal:  Intensive Care Med       Date:  2017-09-21       Impact factor: 17.440

Review 8.  Systematic review of risk prediction scores for surgical site infection or periprosthetic joint infection following joint arthroplasty.

Authors:  S K Kunutsor; M R Whitehouse; A W Blom; A D Beswick
Journal:  Epidemiol Infect       Date:  2017-03-07       Impact factor: 4.434

9.  Variability of intensive care admission decisions for the very elderly.

Authors:  Ariane Boumendil; Derek C Angus; Anne-Laure Guitonneau; Anne-Marie Menn; Christine Ginsburg; Khalil Takun; Alain Davido; Rafik Masmoudi; Benoît Doumenc; Dominique Pateron; Maité Garrouste-Orgeas; Dominique Somme; Tabassome Simon; Philippe Aegerter; Bertrand Guidet
Journal:  PLoS One       Date:  2012-04-11       Impact factor: 3.240

Review 10.  Management of Periprosthetic Joint Infection.

Authors:  Cheng Li; Nora Renz; Andrej Trampuz
Journal:  Hip Pelvis       Date:  2018-09-04
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Review 1.  Higher rates of surgical and medical complications and mortality following TKA in patients aged ≥ 80 years: a systematic review of comparative studies.

Authors:  Olivier Courage; Louise Strom; Floris van Rooij; Matthieu Lalevée; Donatien Heuzé; Pierre Emanuel Papin; Michael Butnaru; Jacobus Hendrik Müller
Journal:  EFORT Open Rev       Date:  2021-11-19
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