Abstract
Background and aim
Despite advances in oncological therapies, hospitalized cancer patients remain at high risk of clinical deterioration, morbidity, and mortality. Rapid response teams (RRTs) aim to identify early deterioration and facilitate timely intervention; however, their association with outcomes in oncology populations remains uncertain. This study aimed to describe the characteristics and outcomes associated with RRT activation among hospitalized oncology patients. The primary outcome was hospital mortality; secondary outcomes included ICU transfer, facilitation of do-not-resuscitate (DNR) decisions, and ICU readmission.
Methods
This retrospective, observational, single-center cohort study without a comparison group was conducted over six months (July 1 to December 31, 2019) at Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore. Adult oncology inpatients with a National Early Warning Score (NEWS) ≥7 triggering RRT activation were included. Patients with preexisting DNR or comfort-care-only status and non-oncology patients were excluded. Data on demographics, malignancy type, cause of deterioration, interventions, ICU transfer, DNR facilitation, readmissions, and mortality were extracted from the hospital information system and analyzed using IBM SPSS Statistics for Windows, version 27.0 (released 2019; IBM Corp., Armonk, NY, USA).
Results
A total of 302 patients met the inclusion criteria. The most common causes of deterioration were pulmonary (37.2%), infectious (21.3%), and neurological (12.2%) conditions. Following RRT activation, patients were transferred to the ICU in 35.8% of cases, remained on the ward following escalation of care in 30.1%, and had facilitation of a DNR decision in 32.5%. Cardiorespiratory arrest occurred in 1.6% of activations, and ICU readmission occurred in 13.0% of patients transferred to the ICU. The overall hospital mortality rate was 5.4% (54 per 1,000 admissions; 353/6,560), while mortality among patients requiring ICU transfer after RRT activation was substantially higher, at 54.6% (59/108).
Conclusions
RRT activation in this oncology population was associated with ICU transfer, ward-based escalation of care, and facilitation of goals-of-care discussions. Cancer patients who required ICU admission after RRT activation experienced high mortality. As this was a retrospective, single-center, observational study without a comparison group, these findings represent associations rather than evidence of RRT effectiveness; prospective, comparative studies are needed to determine which patients are most likely to benefit from ICU-level versus palliative care.
Keywords: code status, comfort care only, do-not-resuscitate (dnr) conflicts discussion, do-not-resuscitate (dnr) status, icu patients, rapid response team (rrt), supportive and palliative care
Introduction
Hospitalized cancer patients face a disproportionately high risk of acute clinical deterioration compared with the general medical population, driven by disease-related complications, treatment toxicities, and immunocompromised status [1-3]. Despite steady improvements in oncological outcomes over recent decades, the need for timely recognition of and response to deterioration in this population remains a pressing clinical challenge [2]. Rapid response teams (RRTs) have been widely adopted as a hospital-based system for early identification and management of clinically deteriorating patients outside the intensive care unit [4-9]. Understanding how RRTs function in oncology-specific settings is essential to improving care for this vulnerable population.
The literature on RRT effectiveness has yielded mixed results. While multiple single-center studies have reported associations between RRT deployment and reductions in hospital mortality and cardiopulmonary arrest [10], a meta-analysis found only limited evidence to support a significant mortality reduction [11]. Larger multicenter analyses have similarly reported inconsistent associations between RRT implementation and hospital mortality after adjustment for background trends [12]. These inconsistencies may reflect heterogeneity in study populations, RRT activation thresholds, team composition, and the clinical characteristics of patients served. Notably, cancer patients have been underrepresented in many of these studies despite having substantially higher hospital death rates after RRT activation compared with non-cancer patients [13-15]. The specific factors influencing RRT outcomes in oncology populations have not been adequately characterized.
A dedicated evaluation of RRT utilization in a cancer center is therefore needed to understand patterns of deterioration, interventions delivered, and patient outcomes in this population. The primary objective of this study was to describe the outcomes associated with RRT activations in hospitalized cancer patients at a tertiary oncology center, including rates of ICU transfer, do-not-resuscitate (DNR) facilitation, clinical improvement, and mortality.
Materials and methods
Study design and setting
This retrospective, observational, single-center cohort study was conducted over a period of six months, from July 1, 2019 to December 31, 2019, at Shaukat Khanum Memorial Cancer Hospital and Research Centre, a tertiary care oncology center in Lahore. The study was approved by the Institutional Review Board (IRB) of Shaukat Khanum Memorial Trust (approval EX-07-02-25-01). Data collection commenced after IRB approval.
RRT structure and activation
Before February 2018, initial management of clinically deteriorating patients was performed at the ward level, with escalation to the primary team based on vital-sign abnormalities. Following the establishment of the RRT in February 2018, patients meeting predefined escalation criteria received multidisciplinary assessment and intervention. The RRT team comprised an on-call ICU consultant, an ICU resident, an anesthesia resident, a critical care advanced practice nurse, and a respiratory therapist.
The escalation system followed a two-tier model. Clinical deterioration was initially communicated to the primary treating team (first tier). Patients requiring further assessment or a higher level of care triggered RRT activation (second tier). Following RRT activation, medical interventions were escalated either at the ward level or through ICU transfer; in cases of progressive disease, discussions regarding revision of goals of care were held with the primary team.
Activation criteria for RRTs vary between hospitals worldwide and depend on the severity of clinical deterioration. The primary goals of an RRT are to improve patient outcomes and to facilitate timely decisions regarding goals of care. In this study, RRT activation was triggered by a National Early Warning Score (NEWS) ≥7 [16]. This threshold was selected because it corresponds to the “high-risk” category defined by the Royal College of Physicians, which mandates emergency assessment by a clinical team with critical care competencies [17,18].
Study population
All consecutive in-hospital patients who underwent RRT activation triggered by a NEWS ≥7 during the study period were identified. Patients with a preexisting code status of DNR or comfort-care-only were excluded. Non-oncology patients were also excluded, as the study focus was restricted to the hospitalized cancer population. Over the six-month study period, 302 patients met the inclusion criteria.
Data collection
Data were extracted from the hospital information system (HIS). Whenever a NEWS ≥7 was recorded, an alert was generated to the RRT team via a nursing template in the HIS. The management information system was used to enumerate all patients receiving RRT interventions during the study period. Data collected included demographics, primary malignancy, reason for RRT activation, interventions performed, and patient outcomes following RRT review, including ICU transfer, ICU readmission, and hospital mortality. ICU readmission was defined as any unplanned ICU admission within 48-72 hours of ICU discharge.
Statistical analysis
Data were analyzed using IBM SPSS Statistics for Windows, version 27.0 (released 2019; IBM Corp., Armonk, NY, USA). Normality of continuous variables was assessed using the Kolmogorov-Smirnov test; continuous variables were expressed as median (interquartile range). Categorical data were presented as frequencies and percentages and compared using the chi-square test. Continuous data were compared using the Kruskal-Wallis test.
Results
Patient characteristics and RRT activation
A total of 302 patients were included, all with a NEWS of ≥7. The RRT team reviewed each patient within 15 minutes of activation and discussed the management plan with the on-call ICU consultant. Table 1 summarizes the distribution of primary malignancies among included patients, and Table 2 shows the frequency distribution of NEWS values in the study cohort; no patients in this cohort had a NEWS of 14. The most common reasons for RRT activation were pulmonary causes (37.2%), infection (21.3%), and neurological causes (12.2%).
Table 1. Distribution of primary malignancies among included patients (N = 302).
| Primary malignancy | Percentage (%) | Number of patients (n) |
| Hematological | 25.50% | 77 |
| Breast cancer | 14.80% | 45 |
| Urological malignancy | 7.40% | 22 |
| Lung cancer | 7.40% | 22 |
| Esophageal cancer | 6.40% | 19 |
| Head and neck cancer | 6.10% | 18 |
| Colorectal cancer | 6.10% | 18 |
| Brain tumor | 5.50% | 17 |
| Connective tissue malignancy | 5.10% | 15 |
| Gastric cancer | 2.90% | 9 |
| Pancreatic cancer | 2.90% | 9 |
| Gynecological malignancy | 2.90% | 9 |
| Germ cell tumor | 2.20% | 7 |
| Cholangiocarcinoma | 1.90% | 6 |
| Other rare malignancies | 2.9% | 9 |
Table 2. Frequency distribution of NEWS values in the study cohort (N = 302).
No patients in this cohort had a NEWS of 14; the category is retained above for completeness. Percentages are recalculated relative to the total cohort of 302 patients and may not sum to exactly 100% due to rounding.
NEWS, National Early Warning Score
| NEWS | Number of patients (n) | Percentage (%) |
| 7 | 35 | 11.30% |
| 8 | 62 | 20% |
| 9 | 23 | 7.40% |
| 10 | 11 | 3.50% |
| 11 | 35 | 11.30% |
| 12 | 6 | 1.90% |
| 13 | 21 | 6.70% |
| 15 | 94 | 30.40% |
| 16 | 15 | 4.80% |
| 17 | 6 | 1.90% |
| 18 | 1 | 0.30% |
Interventions and outcomes of RRT activation
This retrospective observational study described the outcomes associated with RRT activations in 302 hospitalized cancer patients at a tertiary oncology center. The principal findings were that approximately one-third of RRT activations resulted in ICU transfer, another third facilitated DNR decision-making, and patients requiring ICU transfer had substantially higher mortality than those managed on the ward. These results suggest that RRTs served a dual role in this oncology setting: acute medical stabilization and facilitation of goals-of-care discussions for patients with progressive disease.
Following RRT activation, patients were transferred to the ICU in 108 cases (35.8%), remained on the ward following escalation of care in 91 cases (30.1%), had facilitation of a DNR decision in 98 cases (32.5%), and experienced cardiorespiratory arrest in five cases (1.6%). These four categories represent mutually exclusive primary triage outcomes and together account for the total cohort (N = 302) (Table 3). Among the 108 patients transferred to the ICU, 14 (13.0%) required ICU readmission within 48-72 hours of ICU discharge.
Table 3. Outcomes of RRT interventions.
Subgroup quality metric - ICU readmission: 14 patients (13.0%), calculated relative to the 108 patients transferred to the ICU, not the total cohort.
Percentages for the primary triage disposition are calculated relative to the total cohort (N = 302). The ICU readmission rate (n = 14) is a subgroup quality metric calculated relative to the total number of patients transferred to the ICU (n = 108).
DNR, do-not-resuscitate; RRT, rapid response team
| Outcome of RRT intervention | Number of patients (n) | Percentage (%) |
| ICU transfer | 108 | 35.8% |
| Prevention of ICU transfer | 91 | 30.1% |
| Facilitation of DNR decision | 98 | 32.5% |
| Cardiorespiratory arrest | 5 | 1.60% |
| Total | 302 | 100% |
The overall hospital mortality rate was 5.4%, or 54 per 1,000 admissions, based on 353 deaths among 6,560 total hospital admissions during the study period. Mortality among the subset of patients who required ICU transfer following RRT activation was substantially higher, at 54.6% (59/108), consistent with greater illness severity in this subgroup. As this study lacked a non-RRT control group, this difference should be interpreted as a descriptive association rather than evidence of a causal effect of ICU-level care.
Discussion
Over the past two decades, RRTs have become increasingly integral to healthcare systems worldwide [13]. Clinical deterioration represents a major global healthcare burden, affecting approximately 3-5% of hospitalized patients. Cancer patients account for approximately 10-15% of all worldwide ICU admissions, with roughly one in seven to one in sixteen cancer patients requiring critical care at some point during their disease trajectory. Although numerous studies have investigated the association between RRTs and hospital mortality rates, the existing body of research has yielded inconclusive results, without a definitive answer regarding the effectiveness of these teams in reducing mortality [13]. This may be due to various factors, including the clinical profile of the study populations and differences in the criteria and thresholds used to activate RRTs.
It is well established that oncology patients are at increased risk of ICU transfer and in-hospital mortality compared with non-cancer patients. Furthermore, major cancer centers have integrated RRTs into their care protocols, complementing advances in chemotherapy and reflecting a trend toward increasingly aggressive treatment approaches [14,15]. In this study, RRT utilization and its associated outcomes were assessed among patients with a NEWS of 7 or higher. The most common cancers among patients requiring RRT review were hematological malignancies, followed by breast cancer and other malignancies.
This observational study found that a substantial proportion of patients with high NEWS showed clinical improvement following RRT intervention and remained on the ward. Common RRT interventions included non-invasive ventilatory support, intravenous fluid resuscitation, broad-spectrum antibiotics, aggressive chest physiotherapy, and other supportive care. RRT activation was also frequently associated with facilitation of DNR decision-making, which may support a patient-centered approach, interdisciplinary collaboration, and adherence to patient wishes near the end of life. Coventry et al. found that RRTs are sometimes called for patients who already have DNR orders; in their study, 15.7% of patients with existing DNR orders still required RRT review, and approximately one-third of RRT calls involved patients receiving end-of-life care [17].
In this study, in-hospital mortality was significantly higher among cancer patients who required ICU transfer after RRT intervention, consistent with previous studies [19]. High mortality rates have similarly been reported among cancer patients following prolonged ICU stays, particularly among those with leukopenia [20]. Danai et al. identified sepsis as one of the major causes of ICU admission among cancer patients and an important contributor to hospital mortality and morbidity, with a higher incidence among patients with hematological malignancy, likely related to associated leukopenia [21]. The reasons for the elevated mortality observed in this subgroup are likely multifactorial and may include advanced cancer stage, comorbidities, treatment-related complications from chemotherapy or radiotherapy, poor performance status, malnutrition, and an immunocompromised state. However, these variables were not captured in this dataset and could not be formally assessed.
These findings are broadly concordant with prior oncology-specific literature. Other studies have similarly reported higher rates of RRT activation among cancer patients compared with general medicine patients, along with significantly higher hospital mortality regardless of ICU transfer status [21]. This consistency suggests that the elevated mortality risk observed in oncology patients requiring RRT and ICU-level care may reflect underlying disease severity rather than differences in the quality of RRT response. Direct comparison across studies, however, remains limited by differences in patient populations, RRT activation criteria, and data completeness.
Because of the retrospective, single-center, observational design of this study and the absence of a comparison group, these findings represent clinical associations rather than direct evidence of causation. It cannot be concluded that the RRT caused the observed avoidance of ICU admission, the facilitation of DNR discussions, or the difference in mortality between groups; these outcomes may instead reflect differences in underlying illness severity, prognosis, or treatment preferences. Prospective or multicenter matched-cohort studies are required to establish the clinical efficacy of RRTs in this population.
This study had several limitations that should be considered when interpreting the results. First, the retrospective, single-center design limits generalizability. Second, the absence of a contemporaneous control group precludes attribution of the observed outcomes to RRT intervention; this study demonstrates associations only, not causation. Third, cancer stage, metastatic status, performance status, and comorbidity data were not uniformly available and could not be adjusted for in the analysis, introducing potential confounding. Fourth, mortality risk factors were not formally explored, owing to these data limitations. Fifth, the sample size was modest, and the study was not powered for subgroup analyses. Finally, as an observational study without a comparison group, the effect of the RRT on patient outcomes cannot be determined.
Conclusions
This retrospective observational study described the characteristics and outcomes of RRT activations among hospitalized oncology patients. RRT involvement was frequently associated with ICU transfer, ward-based escalation of care, facilitation of DNR discussions, and substantial mortality among patients requiring ICU admission. Given the increasing utilization and expanding role of RRTs in cancer patients, prospective, comparative studies are needed to determine whether RRT interventions improve outcomes in this population and to identify which patients are most likely to benefit from ICU-level versus palliative care.
Disclosures
Human subjects: Informed consent for treatment and open access publication was obtained or waived by all participants in this study. Institutional Review Board, Shaukat Khanum Memorial Trust issued approval EX-07-02-25-01.
Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue.
Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following:
Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work.
Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work.
Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.
Author Contributions
Concept and design: Tauram Javed, Sadia Sadaqat, Wajahat Nazir, Sanaa Afzal, Khawaja Muhammad Hamza Zahid
Acquisition, analysis, or interpretation of data: Tauram Javed, Sadia Sadaqat, Khawaja Muhammad Hamza Zahid, Ahsun Khan
Drafting of the manuscript: Tauram Javed, Sadia Sadaqat, Wajahat Nazir
Supervision: Tauram Javed, Sadia Sadaqat
Critical review of the manuscript for important intellectual content: Sadia Sadaqat, Wajahat Nazir, Sanaa Afzal, Khawaja Muhammad Hamza Zahid, Ahsun Khan
References
- 1.Cancer statistics, 2022. Siegel RL, Miller KD, Fuchs HE, Jemal A. CA Cancer J Clin. 2022;72:7–33. doi: 10.3322/caac.21708. [DOI] [PubMed] [Google Scholar]
- 2.Utilization of rapid response resources and outcomes in a comprehensive cancer center*. Austin CA, Hanzaker C, Stafford R, Mayer C, Culp L, Lin FC, Chang L. Crit Care Med. 2014;42:905–909. doi: 10.1097/CCM.0000000000000098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Effect of early intervention on long-term outcomes of critically ill cancer patients admitted to ICUs. Lee DS, Suh GY, Ryu JA, Chung CR, Yang JH, Park CM, Jeon K. Crit Care Med. 2015;43:1439–1448. doi: 10.1097/CCM.0000000000000989. [DOI] [PubMed] [Google Scholar]
- 4.Reduction in hospital-wide mortality after implementation of a rapid response team: a long-term cohort study. Beitler JR, Link N, Bails DB, Hurdle K, Chong DH. Crit Care. 2011;15:0. doi: 10.1186/cc10547. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Effectiveness of rapid response teams on rates of in-hospital cardiopulmonary arrest and mortality: a systematic review and meta-analysis. Solomon RS, Corwin GS, Barclay DC, Quddusi SF, Dannenberg MD. J Hosp Med. 2016;11:438–445. doi: 10.1002/jhm.2554. [DOI] [PubMed] [Google Scholar]
- 6.Rapid-response systems as a patient safety strategy: a systematic review. Winters BD, Weaver SJ, Pfoh ER, Yang T, Pham JC, Dy SM. Ann Intern Med. 2013;158:417–425. doi: 10.7326/0003-4819-158-5-201303051-00009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Rapid response teams: a systematic review and meta-analysis. Chan PS, Jain R, Nallmothu BK, Berg RA, Sasson C. Arch Intern Med. 2010;170:18–26. doi: 10.1001/archinternmed.2009.424. [DOI] [PubMed] [Google Scholar]
- 8.Rapid response systems: a systematic review and meta-analysis. Maharaj R, Raffaele I, Wendon J. Crit Care. 2015;19:254. doi: 10.1186/s13054-015-0973-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Intensive care of the cancer patient: recent achievements and remaining challenges. Azoulay E, Soares M, Darmon M, Benoit D, Pastores S, Afessa B. Ann Intensive Care. 2011;1:5. doi: 10.1186/2110-5820-1-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Effect of rapid response systems on hospital mortality: a systematic review and meta-analysis. De Jong A, Jung B, Daurat A, et al. Intensive Care Med. 2016;42:615–617. doi: 10.1007/s00134-016-4263-1. [DOI] [PubMed] [Google Scholar]
- 11.Early intervention on the outcomes in critically ill cancer patients admitted to intensive care units. Song JU, Suh GY, Park HY, et al. Intensive Care Med. 2012;38:1505–1513. doi: 10.1007/s00134-012-2594-0. [DOI] [PubMed] [Google Scholar]
- 12.Long term effect of a medical emergency team on cardiac arrests in a teaching hospital. Jones D, Bellomo R, Bates S, et al. Crit Care. 2005;9:0–15. doi: 10.1186/cc3906. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.The medical emergency team. Lee A, Bishop G, Hillman KM, Daffurn K. Anaesth Intensive Care. 1995;23:183–186. doi: 10.1177/0310057X9502300210. [DOI] [PubMed] [Google Scholar]
- 14.The rapid response system and end-of-life care. Jones D, Moran J, Winters B, Welch J. Curr Opin Crit Care. 2013;19:616–623. doi: 10.1097/MCC.0b013e3283636be2. [DOI] [PubMed] [Google Scholar]
- 15.Clinical deterioration in cancer patients—the role of the rapid response team*. Jones D, Warrillow S. Crit Care Med. 2014;42:997–998. doi: 10.1097/CCM.0000000000000172. [DOI] [PubMed] [Google Scholar]
- 16.London: Royal College of Physicians; 2012. National Early Warning Score (NEWS): Standardising the Assessment of Acute-Illness Severity in the NHS. [Google Scholar]
- 17.Rapid response team calls to patients with a pre-existing not for resuscitation order. Coventry C, Flabouris A, Sundararajan K, Cramey T. Resuscitation. 2013;84:1035–1039. doi: 10.1016/j.resuscitation.2013.01.021. [DOI] [PubMed] [Google Scholar]
- 18.Introduction of the medical emergency team (MET) system: a cluster-randomised controlled trial. Hillman K, Chen J, Cretikos M, et al. Lancet. 2005;365:2091–2097. doi: 10.1016/S0140-6736(05)66733-5. [DOI] [PubMed] [Google Scholar]
- 19.Characteristics and outcomes of cancer patients in European ICUs. Taccone FS, Artigas AA, Sprung CL, Moreno R, Sakr Y, Vincent JL. Crit Care. 2009;13:0. doi: 10.1186/cc7713. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Cancer patients with septic shock: mortality predictors and neutropenia. Regazzoni CJ, Irrazabal C, Luna CM, Poderoso JJ. Support Care Cancer. 2004;12:833–839. doi: 10.1007/s00520-004-0667-5. [DOI] [PubMed] [Google Scholar]
- 21.The epidemiology of sepsis in patients with malignancy. Danai PA, Moss M, Mannino DM, Martin GS. Chest. 2006;129:1432–1440. doi: 10.1378/chest.129.6.1432. [DOI] [PubMed] [Google Scholar]
