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Anestezjologia Intensywna Terapia
Bieżący numer Archiwum O czasopiśmie Rada naukowa Recenzenci Bazy indeksacyjne Prenumerata Kontakt Zasady publikacji prac
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2/2020
vol. 52
 
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Among sepsis survivors, readmissions due to infections occur sooner and are associated with increased mortality

Carlos R. Franco Palacios
1
,
Natalia Solenkova
2
,
Federico Gorostiaga
3

  1. Department of Pulmonary and Critical Care Medicine, WellStar Health System, Marietta, GA, United States
  2. Department of Critical Care Medicine, Memorial Healthcare System, Hollywood, FL, United States
  3. Department of Critical Care, Mount Sinai Medical Center, Miami Beach, FL, United States
Anestezjologia Intensywna Terapia 2020; 52, 2: 105–109
Data publikacji online: 2020/07/26
Plik artykułu:
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Sepsis is a leading cause of readmissions and is associated with increased medical costs. The hospital length of stay for readmissions following a sepsis hospitalisation is longer than readmissions following episodes of acute myocardial infarction, heart failure and chronic obstructive pulmonary diasease (COPD) [1]. A quarter of sepsis survivors are readmitted within 30 days, and 48% within 180 days. Furthermore, 25% of sepsis survivors require multiple readmissions within 180 days. The cumulative mortality rate of sepsis survivors attributed to readmissions is 8%, with an estimated cost of over $1.1 billion. Anaemia, cancer, chronic kidney disease (CKD), congestive heart failure (CHF), autoimmune diseases, pulmonary disease, diabetes and nursing home placement are associated with an increased risk of readmission [2, 3]. The most common cause of readmission after a sepsis hospitalisation is infection (69.2%), with 51% being labelled as recurrent/unresolved, especially among those who previously developed hospital-acquired infections or required longer duration of antibiotics and total parenteral nutrition [4]. Readmissions after a sepsis episode are more likely to result in death or transition to hospice care compared to readmissions after non-sepsis hospitalisations [5]. The aim of the study is to describe readmission patterns and mortality among survivors of a sepsis hospitalisation. Our hypothesis is that among those who survived sepsis, infectious causes of readmissions are associated with increased mortality compared to non-infectious causes. Previous studies compared sepsis survivors to non-sepsis survivors but there is a paucity of data focusing only on sepsis survivors.

Methods

After obtaining approval from the local Institutional Review Board (Rice Memorial Hospital, Willmar MN, USA) a retrospective cohort study of 147 sepsis survivors was carried out. Written informed consent was waived by the ethics committee since no individual data in any form are disclosed and this is a retrospective study. These patients were originally admitted to the intensive care unit (ICU) with sepsis between 2012 and 2016 and survived the index hospitalisation. Survivors were followed up after dismissal. If multiple hospitalisations were present, only the first readmission was taken into consideration for study purposes. Readmissions were divided into two main categories: infectious vs. non-infectious. The primary outcome was mortality rate during the study period. For the cause of death, death certificates were retrieved from the medical records and recorded. Secondary outcomes were: readmissions, and days to first hospitalisation. Sepsis was defined as documented or suspected infection with two of the following: temperature of less than 36°C or more than 38°C; leukocyte count of less than 4 G L-1 or more than 12 G L-1; respiratory frequency of more than 20 breaths per minute or mechanical ventilation; heart rate of more than 90 beats per minute; or a qSOFA score ≥ 2. Septic shock was defined as the above plus plasma lactate of more than 2 mmoL L-1 (in the absence of hypovolemia) and need of vasopressor infusion to maintain a mean arterial pressure of 65 mm Hg after initial fluid resuscitation [6]. Exclusion criteria were: pregnant patients, patients younger than 18 years, patients without sepsis on index admission, patients not readmitted during the study period. We collected the following data: demographics, clinical, radiological and laboratory variables at index hospitalisation, days to first readmission, number of readmissions, main cause of admission and readmission, cause of death.

Statistical analyses

Data are presented as mean ± standard deviation if normally distributed and median [25% and 75% ] or range if not. For parametric data, differences in the mean were compared by Student’s t-test. For highly skewed data, the Wilcoxon-Mann-Whitney test was used. Differences in proportions were assessed by the c or Fisher’s exact test. Survival curves were generated using the Kaplan- Meier method. Cox proportional hazard models were used for variables with P values < 0.1 in univariate analyses. P values lower ≤ 0.05 were considered statistically significant. All the analyses were performed using JMP statistical software version 14 (SAS Campus Drive, Cary, NC).

Results

Index hospitalisation

One hundred and forty-seven patients survived the index hospitalisation. Baseline characteristics are described in Table 1. Among these patients, pneumonia was the cause of sepsis in 47 patients (31.9%), urinary tract infections in 37 patients (25.2%), cellulitis and peritonitis in 7 and 5 patients respectively (4.72% and 3.4%), cholecystitis in 5 patients (3.4%), Clostridium difficile colitis in 3 patients (2%), endocarditis in 4 patients (2.7%), cholangitis in 4 patients (2.7%). Other causes of sepsis included catheter infections, bowel ischaemia, bowel perforation, diverticulitis, necrotizing fasciitis, neutropenic fever, osteomyelitis, pelvic inflammatory disease, perirectal abscess, septic arthritis, thrombophlebitis and toxic shock syndrome. Eighteen patients (12.2%) had non specified sepsis; of these 44 percent had a positive blood culture, 50% had a positive urine culture and 60% had a positive sputum culture.

Readmissions

Over a median follow-up of 565 days (200–953) days, 88 patients (59.8%) were readmitted, 40 with an infectious process (45.4%) and 48 with a non-infectious condition (54.5%) (Table 2A). Median time to first rehospitalisation for the entire cohort was 89 (19–337) days, although patients admitted with an infectious cause were readmitted sooner: 65.7 (11–201) days vs. 144 (52.3–383) days, P = 0.02. Median number of readmissions was 2 during the study period [1, 3]. Non-infectious causes of readmission: COPD exacerbation (4 patients, 8.3%), surgical (27 patients, 56.2%), CHF exacerbation (4 patients, 8.3%), cerebrovascular accident (1 patient, 2%), gastrointestinal bleeding (3 patients, 6.2%), acute coronary syndrome/coronary artery disease (CAD) (2 patients, 4.17%), atrial fibrillation (1 patient, 2%), acute kidney injury (1 patient, 2%) and other/not specified (5 patients, 10.4%). Surgical indications included hip fracture, small bowel obstruction, hernia repair, mitral valve repair, melanoma removal, ischaemic toe amputation, arteriovenous fistula repair, photo-vaporization of the prostate, hydronephrosis with ureteral stent placement and intracorporeal lithotripsy, colonic obstruction. Infectious causes of readmission: non-specified bacteraemia (2 patients, 5%), enteritis (1 patient, 2.5%), pneumonia (17 patients, 42.5%), neutropenic fever (1 patient, 2.5%), cellulitis (3 patients, 7.5%), urinary tract infection (7 patients, 17.5%), Clostridium difficile colitis (1 patient, 2.5%), peritonitis (1 patient, 2.5%), intra­abdominal abscess (2 patients, 5%) and non-specified sepsis (5 patients, 12.5%).

Factors associated with increased mortality in patients readmitted

Age, hypertension (HTN) (trend to statistical significance), pulmonary disease (trend) and infectious cause of readmission were associated with increased mortality. In multivariate analyses, age and infectious cause of readmission remained statistically associated with increased mortality (Tables 2B and 3). For the entire cohort, the most common cause of death was related to pulmonary complications (Table 4). Survival rate was 45% (18/40) in those readmitted with an infectious process vs. 70.8% (34/48) in those readmitted due to a non-infectious cause, P = 0.01 (Figure 1).

Discussion

The incidence of sepsis is increasing, and the short-term mortality is improving, generating more sepsis survivors. In order to further improve survival in this population, understanding the risk factors for adverse outcomes is essential. Sepsis survivors have a high risk of readmissions and mortality following their hospitalisations, with a reduced life expectancy compared to the rest of the population and to those initially hospitalized with other medical conditions. Among Medicare patients only CHF has a higher 30-day readmission rate [7–9]. The mortality risk in sepsis survivors increases with a higher severity of the index septic episodes. Among 30-day survivors, sepsis reduces the remaining mean life span to 4 years. Sepsis also increases the risk of death for up to 5 years after the septic episode even after comorbidities are accounted for. In our study, although we did not find a statistical significance, there was a nominally higher SOFA score and vasopressor use during the index septic episode in those who were later readmitted with an infectious process. Furthermore, those who died were older and had more HTN and chronic pulmonary disease [10]. Non-infectious complications after sepsis admissions include a higher risk of cardiovascular events compared with matched-population control subjects, mainly due to their underlying medical conditions (CAD, CHF, diabetes, HTN) [11]. Among the non-infectious readmissions, we found a high number of surgical indications that could explain the lower mortality rate in this group, as studies in critically ill patients have shown higher mortality in the medical ICUs compared to surgical ICUs, which is attributed to a higher proportion of sepsis noted in medical patients [12, 13]. Infectious complications after sepsis hospitalisations are common, especially in those with diabetes, CKD, CHF, a higher number of comorbidities, longer index hospitalisation and nursing home placement [14]. In this study, infections caused earlier re-hospitalisations and increased risk of death in sepsis survivors and although more patients were readmitted with non-infectious aetiologies, when taken individually specific infections were still the leading cause of readmissions. Most of the infectious readmissions were due to pneumonia or urinary tract infections, which mirrored the index hospitalisations. A prior study showed that two thirds of patients readmitted with sepsis within 90 days had infections at the same site of their initial admission. The burden of pneumonia (one of the leading causes of sepsis) cannot be underestimated, with a comparable 30-day all-cause risk-standardized mortality rate to acute myocardial infarction and heart failure [15, 16]. We hypothesize that residual/persistent infections could be related to inadequately treated index septic episodes. Another explanation is that recurrent infections could affect a frailer group of patients, with the overall poor prognosis due to a high burden of chronic medical conditions and older age. In our study, those patients who were readmitted with an infectious process were older and had more diabetes, which are known risk factors for infections [17, 18]. We found that most patients died from pulmonary complications, and this could be related to the high percentage of patients with chronic pulmonary disease and with pneumonia being the most common infectious process. The strength of the study is the close follow-up of the cohort, since most patients received their medical care and subsequent follow-up in a local healthcare system. This allows for a more detailed description of the events following each hospitalisation. The novelty of the study is the fact that we were able to compare different types of readmission among sepsis survivors, since most previous studies compared sepsis survivors to non-sepsis survivors. These results should be confirmed in larger studies.

Limitations

Limitations include being a retrospective single-centre study, a lower acuity case mix compared to bigger urban hospitals, a predominantly Caucasian population, a rural setting and a small number of patients. Regarding the attributed cause of death, several conditions can affect mortality at the same time in a synergistic fashion, so attributing death to only a specific condition might be overly simplistic.

Conclusions

Among sepsis survivors, infections are associated with shorter time to hospital readmission and higher mortality vs. non-infectious causes. Most of the infectious readmissions were due to pneumonia or urinary tract infections, which mirrored the index hospitalisations.

ACKNOWLEDGEMENTS

1. Financial support and sponsorship: none.
2. Conflicts of interest: none.

References

1. Mayr FB, Talisa VB, Balakumar V, Chang CH, Fine M, Yende S. Proportion and Cost of Unplanned 30-Day Readmissions After Sepsis Compared With Other Medical Conditions. JAMA 2017; 317: 530-1. doi: 10.1001/jama.2016.20468.
2. Prescott HC. Variation in postsepsis readmission patterns: a cohort study of veterans affairs beneficiaries. Ann Am Thorac Soc 2017; 14: 230-237. doi: 10.1513/AnnalsATS.201605-398OC.
3. Goodwin AJ, Rice DA, Simpson KN, Ford DW. Frequency, cost, and risk factors of readmissions among severe sepsis survivors. Crit Care Med 2015; 43: 738-746. doi: 10.1097/ccm.0000000000000859.
4. Sun A, Netzer G, Small DS, et al. Association between index hospitalization and hospital readmission in sepsis survivors. Crit Care Med 2016; 44: 478-487. doi: 10.1097/ccm.0000000000001464.
5. Jones TK, Fuchs BD, Small DS, et al. Post-acute care use and hospital readmission after sepsis. Ann Am Thorac Soc 2015; 12: 904-913. doi: 10.1513/AnnalsATS.201411-504OC.
6. Singer M, Deutschman CS, Seymour CW, et al. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA 2016; 315: 801-810. doi: 10.1001/jama.2016.0287.
7. Shankar-Hari M, Rubenfeld GD. Understanding long-term outcomes following sepsis: implications and challenges. Curr Infect Dis Rep 2016; 18: 37. doi: 10.1007/s11908-016-0544-7.
8. Wang T, Derhovanessian A, De Cruz S, Belperio JA, Deng JC, Hoo GS. Subsequent infections in survivors of sepsis: epidemiology and outcomes. J Intensive Care Med 2014; 29: 87-95. doi: 10.1177/0885066612467162.
9. Hines AL, Barrett ML, Jiang HJ, Steiner CA. Conditions with the largest number of adult hospital readmissions by Payer, 2011: Statistical Brief #172. Healthcare Cost and Utilization Project (HCUP) Statistical Briefs. Rockville (MD): Agency for Healthcare Research and Quality (US); 2006.
10. Quartin AA, Schein RM, Kett DH, Peduzzi PN. Magnitude and duration of the effect of sepsis on survival. Department of Veterans Affairs Systemic Sepsis Cooperative Studies Group. JAMA 1997; 277: 1058-1063.
11. Yende S, Linde-Zwirble W, Mayr F, Weissfeld LA, Reis S, Angus DC. Risk of cardiovascular events in survivors of severe sepsis. Am J Respir Crit Care Med 2014; 189: 1065-1074. doi: 10.1164/rccm.201307- 1321OC.
12. De Jong A, Verzilli D, Sebbane M, et al. Medical versus surgical ICU obese patient outcome: a propensity-matched analysis to resolve clinical trial controversies. Crit Care Med 2018; 46: e294-e301. doi: 10.1097/ccm.0000000000002954.
13. Ball IM, Bagshaw SM, Burns KE, et al. Outcomes of elderly critically ill medical and surgical patients: a multicentre cohort study. Can J Anaesth 2017; 64: 260-269. doi: 10.1007/s12630-016-0798-4.
14. Gadre SK, Shah M, Mireles-Cabodevila E, Patel B, Duggal A. Epidemiology and predictors of 30-day readmission in patients with sepsis. Chest 2019; 155: 483-490. doi: 10.1016/j.chest.2018.12.008.
15. DeMerle KM, Royer SC, Mikkelsen ME, Prescott HC. Readmissions for recurrent sepsis: new or relapsed infection? Crit Care Med 2017; 45: 1702-1708. doi: 10.1097/ccm.0000000000002626.
16. Krumholz HM, Lin Z, Keenan PS, et al. Relationship between hospital readmission and mortality rates for patients hospitalized with acute myocardial infarction, heart failure, or pneumonia. JAMA 2013; 309: 587-593. doi: 10.1001/jama.2013.333.
17. Smith PW, Roccaforte JS, Daly PB. Infection and immune response in the elderly. Ann Epidemiol 1992; 2: 813-822. doi: 10.1016/1047-2797(92)90075-2.
18. Carey IM, Critchley JA, DeWilde S, Harris T, Hosking FJ, Cook DG. Risk of Infection in type 1 and type 2 diabetes compared with the general population: a matched cohort study. Diabetes Care 2018; 41: 513-521. doi: 10.2337/dc17-2131.
1. Mayr FB, Talisa VB, Balakumar V, Chang CH, Fine M, Yende S. Proportion and Cost of Unplanned 30-Day Readmissions After Sepsis Compared With Other Medical Conditions. JAMA 2017; 317: 530-1. doi: 10.1001/jama.2016.20468.
2. Prescott HC. Variation in postsepsis readmission patterns: a cohort study of veterans affairs beneficiaries. Ann Am Thorac Soc 2017; 14: 230-237. doi: 10.1513/AnnalsATS.201605-398OC.
3. Goodwin AJ, Rice DA, Simpson KN, Ford DW. Frequency, cost, and risk factors of readmissions among severe sepsis survivors. Crit Care Med 2015; 43: 738-746. doi: 10.1097/ccm.0000000000000859.
4. Sun A, Netzer G, Small DS, et al. Association between index hospitalization and hospital readmission in sepsis survivors. Crit Care Med 2016; 44: 478-487. doi: 10.1097/ccm.0000000000001464.
5. Jones TK, Fuchs BD, Small DS, et al. Post-acute care use and hospital readmission after sepsis. Ann Am Thorac Soc 2015; 12: 904-913. doi: 10.1513/AnnalsATS.201411-504OC.
6. Singer M, Deutschman CS, Seymour CW, et al. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA 2016; 315: 801-810. doi: 10.1001/jama.2016.0287.
7. Shankar-Hari M, Rubenfeld GD. Understanding long-term outcomes following sepsis: implications and challenges. Curr Infect Dis Rep 2016; 18: 37. doi: 10.1007/s11908-016-0544-7.
8. Wang T, Derhovanessian A, De Cruz S, Belperio JA, Deng JC, Hoo GS. Subsequent infections in survivors of sepsis: epidemiology and outcomes. J Intensive Care Med 2014; 29: 87-95. doi: 10.1177/0885066612467162.
9. Hines AL, Barrett ML, Jiang HJ, Steiner CA. Conditions with the largest number of adult hospital readmissions by Payer, 2011: Statistical Brief #172. Healthcare Cost and Utilization Project (HCUP) Statistical Briefs. Rockville (MD): Agency for Healthcare Research and Quality (US); 2006.
10. Quartin AA, Schein RM, Kett DH, Peduzzi PN. Magnitude and duration of the effect of sepsis on survival. Department of Veterans Affairs Systemic Sepsis Cooperative Studies Group. JAMA 1997; 277: 1058-1063.
11. Yende S, Linde-Zwirble W, Mayr F, Weissfeld LA, Reis S, Angus DC. Risk of cardiovascular events in survivors of severe sepsis. Am J Respir Crit Care Med 2014; 189: 1065-1074. doi: 10.1164/rccm.201307- 1321OC.
12. De Jong A, Verzilli D, Sebbane M, et al. Medical versus surgical ICU obese patient outcome: a propensity-matched analysis to resolve clinical trial controversies. Crit Care Med 2018; 46: e294-e301. doi: 10.1097/ccm.0000000000002954.
13. Ball IM, Bagshaw SM, Burns KE, et al. Outcomes of elderly critically ill medical and surgical patients: a multicentre cohort study. Can J Anaesth 2017; 64: 260-269. doi: 10.1007/s12630-016-0798-4.
14. Gadre SK, Shah M, Mireles-Cabodevila E, Patel B, Duggal A. Epidemiology and predictors of 30-day readmission in patients with sepsis. Chest 2019; 155: 483-490. doi: 10.1016/j.chest.2018.12.008.
15. DeMerle KM, Royer SC, Mikkelsen ME, Prescott HC. Readmissions for recurrent sepsis: new or relapsed infection? Crit Care Med 2017; 45: 1702-1708. doi: 10.1097/ccm.0000000000002626.
16. Krumholz HM, Lin Z, Keenan PS, et al. Relationship between hospital readmission and mortality rates for patients hospitalized with acute myocardial infarction, heart failure, or pneumonia. JAMA 2013; 309: 587-593. doi: 10.1001/jama.2013.333.
17. Smith PW, Roccaforte JS, Daly PB. Infection and immune response in the elderly. Ann Epidemiol 1992; 2: 813-822. doi: 10.1016/1047-2797(92)90075-2.
18. Carey IM, Critchley JA, DeWilde S, Harris T, Hosking FJ, Cook DG. Risk of Infection in type 1 and type 2 diabetes compared with the general population: a matched cohort study. Diabetes Care 2018; 41: 513-521. doi: 10.2337/dc17-2131.
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