Citation

Katsiari M, Ntorlis K, Mathas C, Nikolaou C (2018) Predictors of Adverse Outcome Early After ICU Discharge. Int J Crit Care Emerg Med 4:065. doi.org/10.23937/2474-3674/1510065

ORIGINAL ARTICLE | OPEN ACCESSDOI: 10.23937/2474-3674/1510065

Predictors of Adverse Outcome Early After ICU Discharge

Katsiari M*, Ntorlis K, Mathas C and Nikolaou C

Intensive Care Unit, Konstantopouleio-Patission General Hospital, Greece

Abstract

Objective

Clinicians are often confronted with the timely discharge decision, in order to avoid readmission and escalation of costs. Aim of the present study was to determine potential risk factors for ICU readmission or death early after ICU discharge.

Methods

One hundred fifty-four ICU discharged patients were divided into three outcome groups according to whether they were readmitted (Group A, n = 13), or died within 72 h after ICU discharge (Group B, n = 11), or were not readmitted or died within 72 h (Group C, n = 130).

Results

Patients being readmitted to the ICU had significantly longer prior length of stay in a ward compared to the group with positive outcome after ICU discharge (median: 12 vs. 2 days, p = 0.023). Patients with early post discharge death had received vasopressor support with norepinephrine for significantly longer period of time and were significantly more severely diseased at the day of discharge, based on APACHE II calculation. Rates of tracheostomy, central venous catheter, nasogastric nutrition and colonization with an MDR organism, along with hemodynamic and respiratory parameters at ICU discharge were similar among the outcome groups. Nonetheless, the prevalence of patients with Glasgow Coma Scale (GCS) < 13 was significantly higher in Group B. The principal cause of ICU readmission was sepsis (8/13 patients), whereas of early mortality was acute respiratory failure (9/11 patients).

Conclusion

Patients with higher disease severity at discharge and moderately altered mental status, especially those with prolonged hospitalization and vasopressor support are at increased risk for ICU readmission or early post discharge mortality.

Keywords

Intensive care unit, Patient readmission, Post discharge mortality, Predictors

Introduction

The Intensive Care Unit (ICU) is the designated department in the hospital for the care of the most unstable and sickest patients. Depending on ICU availability, it is possible these intubated and critically ill patients are being hospitalized in other areas (e.g. general ward, emergency department) for varying periods of time. Since delays in providing intensive care are associated with worse outcomes [1], prompt ICU admission is desirable. Consequently, some patients might be subjected to a demand-driven discharge from the ICU and therefore face the potential risks of deterioration and necessity of readmission. Readmission to the ICU during the same hospital stay has been associated with a greater risk of in-hospital mortality and has been suggested as a marker of quality of care [2,3]. If intensive care patients are discharged before they can be safely cared for in a lower acuity unit, they are at risk for complications and delayed recognition of clinical deterioration. The former may result in unplanned readmission, while the latter may contribute in patient death. On the other hand, a readmission rate that is significantly lower than might be expected may represent an inability to discharge ICU patients in a timely fashion, resulting in unjustifiable prolongation of ICU stay. Thus, clinicians are often confronted with the timely discharge decision, in order to avoid readmission and escalation of costs. However, the criteria used to decide the patients' discharge are quite subjective, contributing to inappropriate and excessive indications along with risk for patients [2].

Approximately 1 in 10 patients discharged from ICU in developed countries will be readmitted during the same hospital stay [2,4]. This emphasizes the need for knowledge of which patients are at risk of ICU readmission. Awareness of patient- level factors along with intensive care related factors could enable the ICU team to best plan both the discharge and the ongoing care outside the ICU [5-7].

The aim of the present study was to determine potential risk factors for ICU readmission or death early after ICU discharge, and thus improving the ability to predict the readiness for discharge and improve ICUs' efficiency.

Materials/Methods

We prospectively studied 154 patients being hospitalized and successfully discharged from the 9-bed general ICU of Konstantopouleio-Patission in Athens during an 18-month period. The study was approved by the institutional review board of the hospital. No informed consent was obtained from patients' next of kin, due to the observational and non-interventional nature of the study.

Patients were divided into three outcome groups according to whether they were readmitted to the ICU (Group A, n = 13), or died within 72 h after ICU discharge (Group B, n = 11), or were not readmitted or died within 72 h (Group C, n = 130). Data compiled for each patient included demographics; co morbidities; primary admission diagnosis; severity of illness (Acute Physiology and Chronic Health Evaluation II score, APACHE II; Sequential Organ Failure Assessment score, SOFA); Physiological (arterial blood pressure; heart rate; arterial blood gases) and laboratory parameters (blood lactate; white blood cell count, WBC) at ICU admission and discharge. We also recorded intensive care factors: Length of stay (LOS); days of central venous catheterization and mechanical ventilation; days on vasopressor agent (norepinephrine) during ICU stay; colonization with multidrug-resistant (MDR) organism during ICU hospitalization; presence of tracheostomy or central venous catheter (CVC) and nutrition route at discharge; after hours (16:00 hours to 08:00 hours) and weekend discharge; in-hospital or out-hospital discharge.

Statistical analysis

Continuous variables were expressed as mean ± standard deviation (SD) or median (interquantile range). Categorical variables were evaluated with the Chi-square test. Continuous variables were compared with one-way analysis of variance. When analysis of variance revealed a significant difference, all pair wise multiple comparison procedures were executed with Dunn's method or Holm-Sidak method. All tests were two-tailed and a p-value of < 0.05 was considered to indicate statistical significance.

Results

During the study period, a total of 154 ICU discharged patients were included in the study. Thirty-six patients (23.4%) of the study cohort died after ICU discharge: 7.2% within 72 h and 16.2% within 28 days after discharge. No difference in 28-day mortality between readmitted (4/13) and not readmitted patients (21/130) was identified (p = 0.347). The anthropometric and clinical characteristics of study population are depicted in Table 1. After patients' allocation in three groups according to their post-ICU discharge outcome, the sex distribution and mean age were similar between the groups. Primary admission diagnosis was mainly medical in all groups, including acute respiratory failure, cardiac or neurological events and sepsis. Patients being readmitted to the ICU had significantly longer prior length of stay in a ward compared to the group with positive outcome after ICU discharge [12 (1-36.5) vs. 2 (1-4) days, p = 0.023]. Patients readmitted to ICU after 4 (2-6) days post discharge.

Table 1: Anthropometric and clinical characteristics of study population. View Table 1

Evaluation of various chronic comorbidities among the three study groups did not reveal significant differences, apart from the significantly lower prevalence of chronic lung disease in the readmission group. Severity of disease and organ dysfunction at ICU admission, as determined by APACHE II and SOFA scores respectively were also similar.

The intensive care - related risk factors are presented on Table 2. Patients with early post discharge death had received vasopressor support with norepinephrine for significantly longer period of time (median: 5 vs. 15 vs. 3 days, p = 0.012). Although this group displayed longer ICU LOS and duration of central venous catheterization, these differences marginally did not reach statistical significance. Rates of tracheostomy, CVC, nasogastric nutrition and colonization with an MDR organism at ICU discharge were similar among the outcome groups. Patients in all groups were mainly discharged from ICU during weekdays and during morning shifts. Whether patients were discharged to in-hospital or to other hospitals' wards did not have any impact on their outcome.

Table 2: Intensive care-related risk factors of adverse outcome early after ICU discharge. View Table 2

The physical and laboratory factors on the discharge day are presented on Table 3. Patients that died early after ICU discharge were significantly more severely diseased at the day of discharge compared to not readmitted patients, based on APACHE II calculation (13.5 ± 3.9 vs. 9.6 ± 4.4, p = 0.007), while number of organ failures, based on SOFA score calculation, was similar. Hemodynamic and respiratory parameters at discharge were also similar among the study groups. Nonetheless, the prevalence of patients with Glasgow Coma Scale (GCS) < 13 was significantly higher in Group B (7.7% vs. 36.4% vs. 8.45%, p = 0.014). Values of blood lactate concentration (lac) and WBC count did not significantly differ among the three groups. We also calculated the change of each variable at ICU admission and discharge (Δvalue) and examined their interaction with the post discharge outcome. Apart from Δlac values that approached statistical significance [0.85 (0.4-3) vs. 0.5 (0.2-1) vs. 0.9 (0.4-2) mmol/L, p = 0.068), no other differences were identified.

Table 3: Physical and laboratory factors of study population on the discharge day. View Table 3

Regarding the reasons for readmission, the majority of patients readmitted to ICU (8/13) due to sepsis. More specifically, 5 patients readmitted postoperatively after emergency surgery that was related to their initial primary diagnosis, 2 patients suffered from catheter related bloodstream infections (CRBSIs) and 1 patient from complicated skin and soft tissue infection. The rest of patients readmitted to ICU due to acute pulmonary edema (2 patients) due to ischemic heart disease; hypoglycemic coma (1 patient); acute respiratory failure (1 patient); neurologic impairment (1 patient). Concerning the reasons for early death after ICU discharge, the majority of patients died due to acute respiratory failure (9/11 patients), including both hypoxemic and inadequate ventilatory respiratory failure. The rest of patients died due to sudden cardiac arrest (1 patient); septic shock due to bloodstream infection from MDR pathogen (1 patient).

Discussion

Decisions on discharge from ICU are currently based on clinical judgment rather than objective criteria. Through the present study, we prospectively studied various demographic, clinical, laboratory and intensive care factors that might be implicated in an adverse outcome early after ICU discharge. The internal between ICU discharge and readmission or death was defined the 72 h post discharge, based on previous workers that studied early readmissions [8-11]. Our findings are compatible with previous studies [12] and identified that the sick and chronically unwell patients, who had already longer prior hospitalization in the ward, to have greater odds of readmission or early death. Notably, patients died within 72 h after discharge had received vasopressor support for significantly longer period, indicating slower resolution of septic events. They disclosed higher utilization of ICU resources, as demonstrated by longer ICU LOS, central venous catheterization and mechanical ventilation, despite that these differences marginally did not reach statistical significance. Moreover, the prevalence of patients with GCS < 13 was significantly higher in this group. The leading cause of death in this patient group was respiratory failure and might be associated with inadequate pulmonary toilet. Their altered mental status along with the polyneuropathy and myopathy that often involve critically ill patients [13], might have impaired their ability to manage their bronchial secretions. Presence of tracheostomy did not prevent ventilator insufficiency. The use of dedicated teams of respiratory therapists actively following upon selected patients after ICU discharge have been associated with decreased mortality [14]. These patients received nutrition mainly via nasogastric tube (72.7%). Nasogastric tube feeding may be a marker for sicker patients with poor central nervous system recovery, suggesting that a higher demand for support either by medical/nurse staff or by relatives is needed. The introduction of an intermediate care or step-down unit would allow the admission of these ICU discharged patients before their transfer in a general ward and thus might reduce their mortality rate [15].

Readmission rate in our general ICU was 8.4%, similar to data from review studies that reported values from 0.9% to 19% [2,12]. The readmission rates reported in the literature for surgical IU patients also ranged from 0.89% to 9.4% [10,16]. The only factors associated with early readmission were hospitalization time prior ICU first admission and vasopressor support during ICU stay. Hospitalization time before ICU may reflect a failure to respond to treatment on a general ward or late referral to ICU [9]. The principal cause of readmission was sepsis, as defined by the Surviving Sepsis Campaign definitions [17]. In the majority of the cases, the septic status of the patient was associated with emergency surgery related to patients' primary diagnosis. This finding highlights the need for definitive treatment of surgical problems during patients' hospitalization in the ICU. A study of 97 early readmissions to a surgical ICU concluded that the majority of readmissions were due to respiratory and neurologic deterioration, 22% were preventable and 5% might have been prematurely discharged [10]. Moreover, all readmitted patients had a CVC when discharged from the ICU. Given that CRBSIs represented the second septic cause of readmission, removal of CVC before patient's transfer to the ward is required. Unlike previous workers [18], we could not demonstrate a correlation between raised peripheral WBC at discharge and readmission, although sepsis was the leading readmission cause. We also studied systolic pressure and lactate concentration as markers of unresolved underlying pathology, particularly of insidious sepsis, but no correlation was found. Readmission to the ICU has been associated with poor outcomes, such as increased ICU and hospital length of stay and increased mortality [2,4]. In our series, readmitted patients revealed almost double 28-day mortality compared to not readmitted patients (30.7% vs. 16.1%). However, this difference did not reach statistical significance, probably due to the small patient sample size.

Unplanned readmissions within 48 h of discharge have been used as leading indicator of the quality of ICU care [11,19]. More than a half of our patients readmitted after ≥ 72 h of discharge, probably indicating an optimal quality of care. However, there is no clear evidence indicating that longer ICU stay would prevent readmission. The factors contributed to our patients' ICU readmission were not clinically observable at the time of discharge. Patient's readmission might be related to organizational factors outside the ICU, such as substandard care after ICU discharge. Presumable contributing factors might include the increased demand for support from relatives and the low nurse to patient ratio in the ward. Moreover, inadequate vigilance for clinical deterioration or failure by resident doctors to interpret signs of an impending medical emergency, along with delays in prompt medical treatment, could result in ICU readmission. Development of critical care outreach teams, who monitor patients after ICU discharge, provide early warning of deterioration and suggest interventions to prevent further deterioration, might provide benefit in survival and readmission rates [20].

Scoring systems such as the patient at risk [21] and modified early warning scores [22] are designed to detect promptly subtle deterioration in physiology and evoke a graded response depending in the degree of the abnormality, in order to lower ICU readmission rates. However, multi-component scoring systems may be institutional dependent and modified by clinical judgment and institutional practices, resulting in inapplicability across different ICUs.

Our study has some limitations. It is a single-center study and management practices might have influenced our conclusions. The small number of patients in our series might have impeded statistical significance. Detailed recording of more physiological variables at discharge and at time prior to readmission or death might have provided more data about the reasons of patients' deterioration.

In conclusion, precise prediction of patients at risk for readmission or early death after ICU discharge continues to remain unfeasible target. Previous workers report that up to 40% of readmissions may have been associated with premature discharge [2]. Such results are not easily extrapolated to different ICUs due to varying organizational factors and policies especially between countries. Nevertheless, persisting organ dysfunction and patient's primary diagnosis for admission seem to be of signal importance. Patients with higher disease severity at discharge and moderately altered mental status, especially those with prolonged hospitalization in ICU are at increased risk for early death and demand a closer vigilance for clinical deterioration. Identification of these high-risk patients may allow extra resources to be targeted towards them, such as delayed discharge [23,24], discharge to a step-down unit before transfer to ward [15] or more aggressive follow-up on the wards [20], and thus improve their outcome.

Funding

None.

Competing Interests

None declared.

Ethical Approval

Not required.

References

  1. Chalfin DB, Trzeciak S, Likourezos A, Baumann BM, Dellinger RP (2007) Impact of delayed transfer of critically ill patients from the emergency department to the intensive care unit. Crit Care Med 35: 1477-1483.
  2. Rosenberg AL, Watts C (2000) Patients readmitted to ICUs: A systematic review of risk factors and outcomes. Chest 118: 492-502.
  3. Zimmerman JE (2008) Intensive care unit readmission: The issue is safety not frequency. Crit Care Med 36: 984-985.
  4. Ponzoni CR, Corrĕa TD, Filho RR, Serpa Neto A, Assunção MSC, et al. (2017) Readmission to the intensive care unit: Incidence, risk factors, resource use and outcomes. A retrospective cohort study. Ann Am Thorac Soc 14: 1312-1319.
  5. Rhodes A, Moreno RP, Azoulay E, Capuzzo M, Chiche JD, et al. (2012) Prospectively defined indicators to improve the safety and quality of care for critically ill patients: A report from the task force on safety and quality of the European Society of Intensive Care Medicine (ESICM). Intensive Care Med 38: 598-605.
  6. Nates JL, Nunnally M, Kleinpell R, Blosser S, Goldner J, et al. (2016) ICU admission, discharge, and triage guidelines: A framework to enhance clinical operations, development of institutional policies, and further research. Crit Care Med 44: 1553-1602.
  7. Al-Jaghbeer MJ, Tekwani SS, Gunn SR, Kahn JM (2016) Incidence and etiology of potentially preventable ICU readmissions. Crit Care Med 44: 1704-1709.
  8. Gajic O, Malinchoc M, Comfere TB, Harris MR, Achouiti A, et al. (2008) The stability and workload index for transfer score predicts unplanned intensive care unit patient readmission: Initial development and validation. Crit Care Med 36: 676-682.
  9. Rosenberg AL, Hofer TP, Hayward RA, Strachan C, Watts CM (2001) Who bounces back? Physiologic and other predictors of intensive care unit readmission. Crit Care Med 29: 511-518.
  10. Nishi GK, Suh RH, Wilson MT, Cunneen SA, Margulies DR, et al. (2003) Analysis of causes and prevention of early readmission to surgical intensive care. Ann Surg 69: 913-917.
  11. Brown SE, Ratcliffe SJ, Halpern SD (2013) An empirical derivation of the optimal time interval for defining ICU readmissions. Med Care 51: 706-714.
  12. Elliott M (2006) Readmission to intensive care: A review of the literature. Aust Crit Care 19.
  13. Zhou C, Wu L, Ni F, Ji W, Wu J, et al. (2014) Critical illness polyneuropathy and myopathy: A systematic review. Neural Regen Res 9: 101-110.
  14. Kirby EG, Durbin CG (1996) Establishment of a respiratory team is associated with decreased mortality in patients re-admitted to the ICU. Respir Care 41: 903-907.
  15. Prin M, Wunch H (2014) The role of stepdown beds in hospital care. Am J Respir Crit Care Med 190: 1210-1216.
  16. Snow N, Bergin KT, Horrigan TP (1985) Readmission of patients to the surgical intensive care unit: Patient profiles and possibilities for prevention. Crit Care Med 13: 961-964.
  17. Rhodes A, Evans LE, Alhazzani W, Levy MM, Antonelli M, et al. (2017) Surviving sepsis campaign: International guidelines for management of sepsis and septic shock: 2016. Intens Care Med 43: 304-377.
  18. Makris N, Dulhunty JM, Paratz JD, Bandeshe H, Gowardman JR (2010) Unplanned early readmission to the intensive care unit: A case-control study of patient, intensive care and ward-related factors. Anaesth Intens Care 38: 723-731.
  19. Angus DC (1998) Grappling with intensive care unit quality: Does the readmission rate tell us anything (editorial)? Crit Care Med 26: 1779-1780.
  20. Ball C, Kirkby M, Williams S (2003) Effect of the critical care outreach team on patient survival to discharge from hospital and readmission to critical care: Non-randomised population based study. Br Med J 327: 1014-1017.
  21. Goldhill DR, Worthington L, Mulcahy A, Tarling M, Sumner A (1999) The patient-at- risk team: Identifying and managing seriously ill ward patients. Anesthesia 54: 853-860.
  22. Subbe CP, Kruger M, Rutherford P, Gemmel L (2001) Validation of a modified early warning score in medical admissions. QJM 94: 521-526.
  23. Daly K, Beale R, Chang RW (2001) Reduction in mortality after inappropriate early discharge from intensive care unit: Logistic regression triage model. Br Med J 322: 1274-1276.
  24. Vasilevskis EE, Kuzniewicz MW, Cason BA, Lane RK, Dean ML, et al. (2011) Predictors of early postdischarge mortality in critically ill patients: A retrospective cohort study from California intensive care outcomes project. J Crit Care 26: 65-75.

Citation

Katsiari M, Ntorlis K, Mathas C, Nikolaou C (2018) Predictors of Adverse Outcome Early After ICU Discharge. Int J Crit Care Emerg Med 4:065. doi.org/10.23937/2474-3674/1510065