A systematically structured review of biomarkers of dying in cancer patients in the last months of life; An exploration of the biology of dying

Prognostic risk stratification using C-reactive protein, albumin, and associated inflammatory biomarkers in patients with advanced cancer in palliative care

PURPOSE

To evaluate the prognostic value of C-reactive protein (CRP), albumin, CRP/albumin ratio (CAR), and modified Glasgow Prognostic Score (mGPS) at different thresholds in patients with advanced cancer in palliative care.

METHODS

Prospective cohort study with patients evaluated at a palliative care unit in Brazil between July 2016 and March 2020. We included patients ≥ 20 years old, both sexes, able to provide the necessary information or accompanied by someone able to do so, and Karnofsky Performance Status ≥ 30 %. The exclusion criteria were the absence of laboratory data and previous diagnosis of autoimmune and infectious diseases. The thresholds analyzed were: CRP < 5 vs. 5-10 vs. > 10 mg/L, albumin < 2.4 vs. 2.4-2.9 vs. 3.0-3.5 vs. > 3.5 g/dL; CAR <1.2 vs. 1.2-2.0 vs. > 2.0, and mGPS equal to 0 vs. 1 vs. 2. Kaplan-Meier curves and Cox regression models (with hazard ratios [HR] and 95% confidence interval [CI]) were used to evaluate prognostic value, and the concordance statistic (C-statistic) was used to evaluate the predictive accuracy of these thresholds to predict death within 90 days.

RESULTS

A total of 1,877 patients were included. Median overall survival was 51 (19;124) days and decreased in line with the deterioration of the inflammatory biomarkers. According to the Cox regression models, HR increased as the thresholds worsened (CRP: 1.74 [95% CI, 1.50-2.02] to 2.30 [95% CI, 2.00-2.64]; albumin: 1.77 [95% CI, 1.52-2.07] to 2.60 [95% CI, 2.15-3.14]; CAR: 1.47 [95% CI, 1.21-1.77] to 2.35 [95% CI, 2.05-2.69]; mGPS: 1.78 [95% CI, 1.40-2.23] to 1.89 [95% CI, 1.65-2.15]). All the inflammatory biomarkers evaluated showed discriminatory accuracy for predicting death (C-statistic >0.70), with CAR as the best parameter (C-statistic: 0.80).

CONCLUSION

Our results suggest that CRP, albumin, CAR, and mGPS can be used as clinically meaningful biomarkers to stratify patients with advanced cancer in palliative care according to the severity of these indicators.

Recognising dying in motor neurone disease: A scoping review

INTRODUCTION

Timely identification of dying in motor neurone disease enables optimal care, yet we know that healthcare professionals can fail to recognise when death is approaching. Clinical factors help predict the end of life in other terminal conditions. Examining these principles in motor neurone disease would help guide more accurate recognition of this critical phase.

AIM

To examine and map out what is known about dying in patients with motor neurone disease, and the recognition of dying by healthcare professionals.

DESIGN

A scoping review was conducted following the Arksey and O'Malley methodological framework.

DATA SOURCES

Four electronic databases (MEDLINE, Scopus, PsycINFO and CINAHL) and grey literature were searched on the 10th May 2023. Reference lists and citations were also reviewed.

RESULTS

From 1512 articles, 13 studies were included. Dyspnoea, anxiety and pain were the most common symptoms associated with the dying phase. Worsening respiratory function, the development of specific new symptoms and deteriorating symptom control suggested approaching death. No studies reported changes in vital signs or biomarkers associated with dying. Barriers to the recognition of dying by healthcare professionals included a rapid and unpredictable terminal decline.

CONCLUSIONS

Dying in motor neurone disease is associated with patterns of symptoms and signs, however evidence is limited compared with other terminal conditions and requires further exploration. The characteristic sudden and unpredictable terminal decline is a key barrier to recognition of dying by healthcare professionals. Optimising advance care planning is one approach to navigate these complex, unpredictable clinical situations.

Clinical and patient-reported trajectories at end-of-life in older patients with advanced CKD

BACKGROUND

We explore longitudinal trajectories of clinical indicators, patient-reported outcomes, and hospitalizations, in the years preceding death in a population of older patients with advanced chronic kidney disease (CKD).

METHODS

The EQUAL study is a European observational prospective cohort study with an incident eGFR <20 ml/min per 1.73 m2 and ≥65 years of age. The evolution of each clinical indicator was explored using generalized additive models during the 4 years preceding death.

RESULTS

We included 661 decedents with a median time to death of 2.0 years (IQR 0.9-3.2). During the years preceding death, eGFR, Subjective Global Assessment score, and blood pressure declined, with accelerations seen at 6 months preceding death. Serum hemoglobin, hematocrit, cholesterol, calcium, albumin, and sodium values declined slowly during follow-up, with accelerations observed between 6 and 12 months preceding death. Physical and mental quality of life declined linearly throughout follow-up. The number of reported symptoms was stable up to 2 years prior to death, with an acceleration observed at 1 year prior to death. The rate of hospitalization was stable at around one hospitalization per person year, increasing exponentially at 6 months preceding death.

CONCLUSIONS

We identified clinically relevant physiological accelerations in patient trajectories that began ∼6 to 12 months prior to death, which are likely multifactorial in nature, but correlate with a surge in hospitalizations. Further research should focus on how to effectively use this knowledge to inform patient and family expectations, to benefit the planning of (end-of-life) care, and to establish clinical alert systems.

GC-MS Techniques Investigating Potential Biomarkers of Dying in the Last Weeks with Lung Cancer

Predicting when a patient with advanced cancer is dying is a challenge and currently no prognostic test is available. We hypothesised that a dying process from cancer is associated with metabolic changes and specifically with changes in volatile organic compounds (VOCs). We analysed urine from patients with lung cancer in the last weeks of life by headspace gas chromatography mass spectrometry. Urine was acidified or alkalinised before analysis. VOC changes in the last weeks of life were identified using univariate, multivariate and linear regression analysis; 12 VOCs increased (11 from the acid dataset, 2 from the alkali dataset) and 25 VOCs decreased (23 from the acid dataset and 3 from the alkali dataset). A Cox Lasso prediction model using 8 VOCs predicted dying with an AUC of 0.77, 0.78 and 0.85 at 30, 20 and 10 days and stratified patients into a low (median 10 days), medium (median 50 days) or high risk of survival. Our data supports the hypothesis there are specific metabolic changes associated with the dying. The VOCs identified are potential biomarkers of dying in lung cancer and could be used as a tool to provide additional prognostic information to inform expert clinician judgement and subsequent decision making.

Life-Sustaining Treatment Decision in Palliative Care Based on Electronic Health Records Analysis

AIMS AND OBJECTIVES

This study sought to explore the present status of life-sustaining treatment decisions in a tertiary hospital to improve the life-sustaining treatment decision-making process.

BACKGROUND

Life-sustaining treatment decisions are crucial for palliative care because they encompass decisions to withdraw treatments when patients cannot articulate their values and preferences. However, surrogate decisions have settled many life-sustaining treatment cases in South Korea, and this trend is prevalent.

DESIGN

We conducted a retrospective, descriptive study employing a review of electronic health records.

METHODS

We extracted and analysed electronic health records of a tertiary hospital. Our inclusion criteria included adult patients who completed life-sustaining treatment forms in 2019. A total of 2,721 patients were included in the analysis. We analysed the decision-maker, the timing of the decision, and patients' health status a week before the decision. We followed the STROBE checklist.

RESULTS

Among 1,429 deceased patients, those whose families had made life-sustaining treatment decisions totalled 1,028 (70.6%). The median interval between life-sustaining treatment documentation completion to death was three days, more specifically, two days in the family decision group and 5.5 days in the patient decision group. As the decision day neared, there were marked changes in patients' vital signs and laboratory test results, and the need for nursing care increased.

CONCLUSIONS

Life-sustaining treatment decisions were made when death was imminent, suggesting that the time required to discuss end-of-life care was generally insufficient among patients, family, and healthcare professionals in Korea.

RELEVANCE TO CLINICAL PRACTICE

Monitoring changes in laboratory test results and symptoms could help screen the patients who need the life-sustaining treatment discussion. As improving the quality of death is imperative in palliative care, institutional efforts, such as clinical ethics support services, are necessary to improve the life-sustaining treatment decision-making process for patients, families, and healthcare providers.

Lessons for Understanding Central Nervous System HIV Reservoirs from the Last Gift Program

PURPOSE OF REVIEW

Deep tissue HIV reservoirs, especially within the central nervous system (CNS), are understudied due to the challenges of sampling brain, spinal cord, and other tissues. Understanding the cellular characteristics and viral dynamics in CNS reservoirs is critical so that HIV cure trials can address them and monitor the direct and indirect effects of interventions. The Last Gift program was developed to address these needs by enrolling altruistic people with HIV (PWH) at the end of life who agree to rapid research autopsy.

RECENT FINDINGS

Recent findings from the Last Gift emphasize significant heterogeneity across CNS reservoirs, CNS compartmentalization including differential sensitivity to broadly neutralizing antibodies, and bidirectional migration of HIV across the blood-brain barrier. Our findings add support for the potential of CNS reservoirs to be a source of rebounding viruses and reseeding of systemic sites if they are not targeted by cure strategies. This review highlights important scientific, practical, and ethical lessons learned from the Last Gift program in the context of recent advances in understanding the CNS reservoirs and key knowledge gaps in current research.

Prevalence and predictors for 72-h mortality after transfer to acute palliative care unit

Purpose

Accurate prediction of survival is important to facilitate clinical decision-making and improve quality of care at the end of life. While it is well documented that survival prediction poses a challenge for treating physicians, the need for clinically valuable predictive factors has not been met. This study aims to quantify the prevalence of patient transfer 72 h before death onto the acute palliative care unit in a tertiary care center in Switzerland, and to identify factors predictive of 72-h mortality.

Methods

All patients hospitalized between January and December 2020 on the acute palliative care unit of the Competence Center Palliative Care of the Department of Radiation Oncology at the University Hospital Zurich were assessed. Variables were retrieved from the electronic medical records. Univariable and multivariable logistic regressions were used to identify predictors of mortality.

Results

A total of 398 patients were screened, of which 188 were assessed. Every fifth patient spent less than 72 h on the acute palliative care unit before death. In multivariable logistic regression analysis, predictors for 72-h mortality after transfer were no prior palliative care consult (p = 0.011), no advance care directive (p = 0.044), lower performance status (p = 0.035), lower self-care index (p = 0.003), and lower blood albumin level (p = 0.026).

Conclusion

Late transfer to the acute palliative care unit is not uncommon, which can cause additional distress to patients and caretakers. Though clinically practical short-term survival predictors remain largely unidentified, early integration of palliative care should be practiced more regularly in patients with life-limiting illness.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00520-022-07075-6.

Identification of Digital Health Priorities for Palliative Care Research: Modified Delphi Study

BACKGROUND

Developments in digital health have the potential to transform the delivery of health and social care to help citizens manage their health. Currently, there is a lack of consensus about digital health research priorities in palliative care and a lack of theories about how these technologies might improve care outcomes. Therefore, it is important for health care leaders to identify innovations to ensure that an increasingly frail population has appropriate access to palliative care services. Consequently, it is important to articulate research priorities as the first step in determining how finite resources should be allocated to a field saturated with rapidly developing innovation.

OBJECTIVE

The aim of this study is to identify research priority areas for digital health in palliative care.

METHODS

We selected digital health trends, most relevant to palliative care, from a list of emerging trends reported by a leading institute of quantitative futurists. We conducted 2 rounds of the Delphi questionnaire, followed by a consensus meeting and public engagement workshop to establish a final consensus on research priorities for digital technology in palliative care. We used the views of public representatives to gain their perspectives on the agreed priorities.

RESULTS

A total of 103 experts (representing 11 countries) participated in the first Delphi round. Of the 103 experts, 55 (53.3%) participated in the second round. The final consensus meetings were attended by 10.7% (11/103) of the experts. We identified 16 priority areas, which involved many applications of technologies, including care for patients and caregivers, self-management and reporting of diseases, education and training, communication, care coordination, and research methodology. We summarized the priority areas into eight topics: big data, mobile devices, telehealth and telemedicine, virtual reality, artificial intelligence, smart home, biotechnology, and digital legacy.

CONCLUSIONS

The priorities identified in this study represent a wide range of important emerging areas in the fields of digital health, personalized medicine, and data science. Human-centered design and robust governance systems should be considered in future research. It is important that the risks of using these technologies in palliative care are properly addressed to ensure that these tools are used meaningfully, wisely, and safely and do not cause unintentional harm.

Clinical Relevance and Prognostic Value of Inflammatory Biomarkers: A prospective Study in Terminal Cancer Patients Receiving Palliative Care

CONTEXT

Inflammatory biomarkers have prognostic value in cancer patients, but the feasibility of their use with terminal cancer patients and the related cutoff points are poorly explored.

OBJECTIVES

To describe the percentiles values of inflammatory biomarkers; to identify their cutoff points in relation to death; and to determine the prognostic value of C-reactive protein (CRP), leukocytes, neutrophils, neutrophil/lymphocyte ratio (NLR), CRP/albumin ratio (CAR), and modified Glasgow Prognostic Score for death within 90 days, in terminal cancer patients receiving palliative care.

METHODS

Prospective cohort study that included patients who received palliative care at the Palliative Care Unit of the National Cancer Institute (Brazil) between October 2019 and March 2020. Receiver operating characteristic curves were used to identify the optimal cutoff points of the inflammatory biomarkers for the prediction of death in 90 days. Kaplan-Meier curves and Cox regression were used to verify the prognostic value of these cutoff points and concordance statistic (C-statistic) was used to test their predictive accuracy.

RESULTS

A total 205 patients (mean age: 62.5 years; female: 59%) were included in the study. The optimal cutoff points were CRP ≥6.7mg/L, CAR ≥2.0, leukocytes ≥9300/μL, neutrophils ≥7426/μL and NLR ≥6.0. All biomarkers showed prognostic value and good predictive accuracy when their cutoff points were used, especially CAR, which presented excellent discrimination power (C-statistic: 0.80).

CONCLUSION

The inflammatory biomarkers analyzed are independent predictive factors for death within 90 days in terminal cancer patients. CAR appears to be the most useful parameter for predicting survival in these patients.

Palliative Care and COVID-19 Pandemic: Retrospective Study of Factors Associated With Infection and Death at an Oncological Palliative Care Reference Center

BACKGROUND

Advanced cancer patients are part of a group likely to be more susceptible to COVID-19.

AIMS

To describe the profile of advanced cancer inpatients to an exclusive Palliative Care Unit (PCU) with the diagnosis of COVID-19, and to evaluate the factors associated with death in these cases.

DESIGN

Retrospective cohort study with data from advanced cancer inpatients to an exclusive PCU, from March to July 2020, with severe acute respiratory syndrome. Diagnostic of COVID-19 and death were the dependent variables. Logistic regression analyses were performed, with the odds ratio (OR) and 95% confidence interval (CI).

RESULTS

One hundred fifty-five patients were selected. The mean age was 60.9 (±13.4) years old and the most prevalent tumor type was breast (30.3%). Eighty-three (53.5%) patients had a diagnostic confirmation of COVID-19. Having diabetes mellitus (OR: 2.2; 95% CI: 1.1-6.6) and having received chemotherapy in less than 30 days before admission (OR: 3.8; 95% CI: 1.2-12.2) were associated factors to diagnosis of COVID-19. Among those infected, 81.9% died and, patients with Karnofsky Performance Status (KPS) < 30% (OR: 14.8; 95% CI 2.7-21.6) and C-reactive protein (CRP) >21.6mg/L (OR: 9.3; 95% CI 1.1-27.8), had a greater chance of achieving this outcome.

CONCLUSION

Advanced cancer patients who underwent chemotherapy in less than 30 days before admission and who had diabetes mellitus were more likely to develop Coronavirus 2019 disease. Among the confirmed cases, those hospitalized with worse KPS and bigger CRP were more likely to die.

Prognostic model for patients with advanced cancer using a combination of routine blood test values

PURPOSE

The purpose of this study was to develop a simple prognostic model based on objective indicators alone, i.e., routine blood test data, without using any subjective variables such as patient's symptoms and physician's prediction.

METHODS

The subjects of this retrospective study were patients at the palliative care unit of Tohoku University Hospital, Japan. Eligible patients were over 20 years old and had advanced cancer (n = 225). The model for predicting survival was developed based on Cox proportional hazards regression models for univariable and multivariable analyses of 20 items selected from routine blood test data. All the analyses were performed according to the TRIPOD statement ( https://www.tripod-statement.org/ ).

RESULTS

The univariable and multivariable regression analyses identified total bilirubin, creatinine, urea/creatinine ratio, aspartate aminotransferase, albumin, total leukocyte count, differential lymphocyte count, and platelet/lymphocyte ratio as significant risk factors for mortality. Based on the hazard ratios, the area under the curve for the new risk model was 0.87 for accuracy, 0.83 for sensitivity, and 0.74 for specificity. Diagnostic accuracy was higher than provided by the Palliative Prognostic Score and the Palliative Prognostic Index. The Kaplan-Meier analysis demonstrated a survival significance of classifying patients according to their score into low-, medium-, and high-mortality risk groups having median survival times of 67 days, 34 days, and 11 days, respectively (p < 0.001).

CONCLUSIONS

We developed a simple and accurate prognostic model for predicting the survival of patients with advanced cancer based on routine blood test values alone that may be useful for appropriate advanced care planning in a palliative care setting.

Predictive Factors of Death on Hospitalization in Patients With Advanced Cancer in Palliative Care

BACKGROUND

Prognostic assessment is essential to plan the care of patients with advanced cancer in palliative care.

OBJECTIVE

Thus, this study aims to assess the predictors of death in inpatients with advanced cancer in palliative care.

METHODS

This is a clinical, observational cohort study with patients aged >20 years, of both genders, evaluated within 48 hours of the first hospitalization. The independent variables were tumor location, nutritional risk [through the Patient-Generated Subjective Global Assessment (PG-SGA) short form], laboratory tests [C-reactive protein and albumin] and Karnofsky Performance Status (KPS). Logistic regression analyses were performed.

RESULTS

Eighty-two patients were evaluated, whose mean age was 61.8 (± 13.2) years. Forty-nine (59.8%) patients died during hospitalization, among which the majority had KPS of 30-40% (p-value = 0.043), higher means of the total score of the PG-SGA (p-value = 0.050) and lower serum albumin concentrations (p-value = 0.011). According to the multivariate model, tumor location in the gastrointestinal (GI) tract (OR: 1.73; 95% CI: 1.57-1.94), 30-40% KPS (OR: 1.29; 95% CI: 1.07-1.63) and albumin concentrations <3.5 g/dL (OR: 4.65; 95% CI: 1.22-17.7) were independent factors associated with an increased chance of death from hospitalization.

CONCLUSION

Presenting an advanced tumor with localization in the GI tract, KPS ≤40% and serum albumin concentration <3.5 g/dL at admission were predictors of death in inpatients under palliative care.

Impact of Prognostic Nutritional Index on Terminal Cancer Patients

BACKGROUND

In terminal cancer patients (TCPs), one of the most important things is to define the survival to help the main responsible physicians, patients, and main caregivers make decisions, set goals, and work across the end-of-life strategies.

PATIENTS AND METHODS

We retrospectively reviewed the medical files of TCPs, who died during September 2011 and December 2017, to recognize the correlation between prognostic nutritional indices (PNIs) and survival in those subtypes of patients. The receiver operating characteristic (ROC) curve was used to identify the cutoff value of PNI.

RESULTS

A total of 858 TCPs were eligible and included, the median age was 62 years (range: 18-107). The most common primary cancer sites were colorectal cancer in 151 patients (17.6%), hepatobiliary in 129 (15%), lung cancer in 115 (13.4%), breast cancer in 114 (13.3%), and genitourinary in 80 (9.3%). The mean value of PNI for all cancer types was 32.9 ± 6.7. The values showed different levels across cancer types. For patients who lived >2 weeks, PNI was 36.7 compared with that who died within 2 weeks was 29.3, which was a statistically significant (P < 0.001). By the ROC curve, the cutoff value of PNI was 32.3 and area under the curve was 0.888. The sensitivity, specificity, positive predictive value, and negative predictive value were 91.28% (95% confidence interval [CI]: 88.2-93.8), 71.09% (95% CI: 66.5-75.4), 76.5% (95% CI: 73.7-79.2), and 88.8% (95% CI: 85.3-91.5), respectively.

CONCLUSION

The PNI is an easy and an applicable biomarker to estimate life expectancy in TCPs.

Hypernatremia at admission predicts poor survival in patients with terminal cancer: a retrospective cohort study

Background

Although palliative care providers, patients, and their families rely heavily on accurate prognostication, the prognostic value of electrolyte imbalance has received little attention.

Methods

As a retrospective review, we screened inpatients with terminal cancer admitted between January 2017 and May 2019 to a single hospice-palliative care unit. Clinical characteristics and laboratory results were obtained from medical records for multivariable Cox regression analysis of independent prognostic factors.

Results

Of the 487 patients who qualified, 15 (3%) were hypernatremic upon admission. The median survival time was 26 days. Parameters associated with shortened survival included male sex, advanced age (> 70 years), lung cancer, poor performance status, elevated inflammatory markers, azotemia, impaired liver function, and hypernatremia. In a multivariable Cox proportional hazards model, male sex (hazard ratio [HR] = 1.53, 95% confidence interval [CI]: 1.15–2.04), poor performance status (HR = 1.45, 95% CI: 1.09–1.94), leukocytosis (HR = 1.98, 95% CI: 1.47–2.66), hypoalbuminemia (HR = 2.06, 95% CI: 1.49–2.73), and hypernatremia (HR = 1.55, 95% CI: 1.18–2.03) emerged as significant predictors of poor prognosis.

Conclusion

Hypernatremia may be a useful gauge of prognosis in patients with terminal cancer. Further large-scale prospective studies are needed to corroborate this finding.

Heart Failure: A Palliative Medicine Review of Disease, Therapies, and Medications With a Focus on Symptoms, Function, and Quality of Life

Despite significant advances in heart failure (HF) treatment, HF remains a progressive, extremely symptomatic, and terminal disease with a median survival of 2.1 years after diagnosis. HF often leads to a constellation of symptoms, including dyspnea, fatigue, depression, anxiety, insomnia, pain, and worsened cognitive function. Palliative care is an approach that improves the quality of life of patients and their caregivers facing the problems associated with life-threatening illness and therefore is well suited to support these patients. However, historically, palliative care has often focused on supporting patients with malignant disease, rather than a progressive chronic disease such as HF. Predicting mortality in patients with HF is challenging. The lack of obvious transition points in disease progression also raises challenges to primary care providers and specialists to know at what point to integrate palliative care during a patient's disease trajectory. Although therapies for HF often result in functional and symptomatic improvements including health-related quality of life (HRQL), some patients with HF do not demonstrate these benefits, including those patients with a preserved ejection fraction. Provision of palliative care for patients with HF requires an understanding of HF pathogenesis and common medications used for these patients, as well as an approach to balancing life-prolonging and HRQL care strategies. This review describes HF and current targeted therapies and their effects on symptoms, hospital admission rates, exercise performance, HRQL, and survival. Pharmacological interactions with and precautions related to commonly used palliative care medications are reviewed. The goal of this review is to equip palliative care clinicians with information to make evidence-based decisions while managing the balance between optimal disease management and patient quality of life.

Longitudinal trajectory patterns of plasma albumin and C-reactive protein levels around diagnosis, relapse, bacteraemia, and death of acute myeloid leukaemia patients

Background

No study has evaluated C-reactive protein (CRP) and plasma albumin (PA) levels longitudinally in patients with acute myeloid leukaemia (AML).

Methods

We studied defined events in 818 adult patients with AML in relation to 60,209 CRP and PA measures. We investigated correlations between CRP and PA levels and daily CRP and PA levels in relation to AML diagnosis, AML relapse, or bacteraemia (all ±30 days), and death (─30–0 days).

Results

On the AML diagnosis date (D0), CRP levels increased with higher WHO performance score (PS), e.g. patients with PS 3/4 had 68.1 mg/L higher CRP compared to patients with PS 0, adjusted for relevant covariates. On D0, the PA level declined with increasing PS, e.g. PS 3/4 had 7.54 g/L lower adjusted PA compared to PS 0. CRP and PA levels were inversely correlated for the PA interval 25–55 g/L (R = − 0.51, p < 10–5), but not for ≤24 g/L (R = 0.01, p = 0.57). CRP increases and PA decreases were seen prior to bacteraemia and death, whereas no changes occurred up to AML diagnosis or relapse. CRP increases and PA decreases were also found frequently in individuals, unrelated to a pre-specified event.

Conclusions

PA decrease is an important biomarker for imminent bacteraemia in adult patients with AML.

Survival time after marked reduction in oral intake in terminally ill noncancer patients: A retrospective study

Background

Methods

Results

Conclusion

The Pathophysiology of Dying

The pathophysiology of dying and death, related to veterinary patients, has warranted less attention than normal and abnormal physiologic processes related to life preservation. In addition, many veterinary patients are euthanized, which prevents observation of natural disease progression, while ameliorating suffering. Acute death in human medicine can serve as a model for understanding mechanisms of death in veterinary patients under certain conditions. The specific cause of cardiac arrest in several different models of disease elucidates end-stage disease processes. Understanding the path to death and dying in veterinary patients physiologically serves to guide best practices focused on alleviating suffering.

High C-reactive protein to albumin ratio and the short-term survival prognosis within 30 days in terminal cancer patients receiving palliative care in a hospital setting: A retrospective analysis

Survival estimates are very important to patients with terminal cancer. The C-reactive protein (CRP)/albumin ratio is associated with cancer outcomes. However, few studies have investigated the dose-response association in terminal cancer patients. Therefore, we aimed to evaluate the association between the CRP/albumin ratio and mortality in terminal cancer patients using a longitudinal analysis. We retrospectively investigated the electronic medical records of 435 inpatients with terminal cancer admitted to the palliative care unit of Yeouido St. Mary's Hospital between October 8, 2015, and January 17, 2018. In total, 382 patients with terminal cancer were enrolled in the study. The serum CRP/albumin ratio measured at admission had a linear dose-response relationship with the risk of death among the terminal cancer patients (P for linearity = .011). The multivariate analyses showed that the CRP/albumin ratio was an independent prognostic factor (Model 1, CRP/albumin ratio >48.53 × 10: HR = 2.68, 95% CI = 1.82-3.93; Model 2, tertile 2: HR = 1.91, 95% CI = 1.31-2.82 and tertile 3: HR = 3.66, 95% CI = 2.24-5.97). The relationship between a high CRP/albumin ratio and poor survival was a flat L-shape for survival time with an inflection point at approximately 15 days, while the relationship was not significant in terminal cancer patients who survived beyond 30 days. This study demonstrated that high CRP/albumin ratios are significantly and independently associated with the short-term survival prognosis of terminal cancer patients within 30 days.

Introduction to Hospice and Palliative Care

Palliative care is a field of medicine that delivers patient-centered care for individuals and their families suffering from serious illness at all stages of the disease trajectory. It addresses the major priorities of relieving suffering, establishing goals of care, and managing physical symptoms while integrating the psychosocial, cultural, spiritual, and existential complexities of coping with chronic illness. This article discusses the role of palliative care in the health care system. It reviews the importance of prognostication, disease trajectory, and communication. The role of the primary care physician as part of a multidisciplinary team member delivering primary palliative care is emphasized.

Well-Being at the End of Life

This review proposes that the end of life is a uniquely contemporary life course stage. Epidemiologic, technological, and cultural shifts over the past two centuries have created a context in which dying has shifted from a sudden and unexpected event to a protracted, anticipated transition following an incurable chronic illness. The emergence of an end-of-life stage lasting for months or even years has heightened public interest in enhancing patient well-being, autonomy, and the receipt of medical care that accords with patient and family members' wishes. We describe key components of end-of-life well-being and highlight socioeconomic and race disparities therein, drawing on fundamental cause theory. We describe two practices that are critical to end-of-life well-being (advance care planning and hospice) and identify limitations that may undermine their effectiveness. We conclude with recommendations for future sociological research that could inform practices to enhance patient and family well-being at the end of life.

Clinical decision-making at the end of life: a mixed-methods study

OBJECTIVES

To improve the ability of clinical staff to recognise end of life in hospital inpatients dying as a result of cancer and heart failure, and to generate new hypotheses for further research.

METHODS

This mixed-methods study used decision theory as a theoretical basis. It involved a parallel databases-convergent design, incorporating findings from previously published research, with equal priority to study groups and synthesis by triangulation. The individual arms were (1) a retrospective cohort study of 102 patients with cancer and 81 patients with heart failure in an acute trust in the North of England, and(2) a semistructured interview study of 19 healthcare professionals caring for the same patient groups.

RESULTS

The synthesis of findings demonstrated areas of agreement, partial agreement, silence and dissonance when comparing the cohort findings with the interview findings. Trajectories of change are identified as associated with poor prognosis in both approaches, but based on different parameters. Management of patients has a significant impact on decision-making. The decision process requires repeated, iterative assessments and may benefit from a multidisciplinary approach. Uncertainty is a defining characteristic of the overall process, and objective parameters only have a limited role in predicting end of life.

CONCLUSIONS

The role of uncertainty is important as a trigger for discussions and a defined stage in a patient's illness journey. This is consistent with current approaches to recognising irreversible deterioration in those with serious illness. This study contributes ongoing evidence that these concepts are vital for decision-making.

Change in Physiological Variables in the Last Two Weeks of Life: An Observational Study of Hospitalized Adults With Heart Failure

CONTEXT

Recognition of dying is a difficult task in end-stage heart failure, yet it remains an important clinical skill in providing good palliative care to these patients.

OBJECTIVES

To use routinely collected data to explore evidence for physiological change in the final two weeks of life in end-stage heart failure.

METHODS

This was a retrospective cohort study of routinely collected data from hospital inpatients dying as a result of heart failure during a one-year period in a U.K. hospital. Data were analyzed using descriptive techniques and multilevel modeling.

RESULTS

Results were obtained on 81 patients. Respiratory function (evidenced by falling oxygen saturation and rising respiratory rate) deteriorated by a clinically significant amount in the final two weeks of life (P < 0.001). Renal function (evidenced by rising serum urea and creatinine) also demonstrated a clinically significant deterioration over the same period (P < 0.001 and P = 0.005, respectively). Serum albumin fell over a period of months (P < 0.001). Heart rate and blood pressure did not demonstrate clinically significant change over the same period.

CONCLUSIONS

Deteriorating respiratory and renal function may indicate imminent dying in heart failure. A fall in serum albumin may signify poor prognosis over a timescale of weeks to months. Conversely, hemodynamic parameters may remain relatively stable in the final days of life and should not be reassuring in end-stage heart failure patients.

Translational Research in Oncology: Implications for Palliative Care

The label "translational research" (TR) has become ever more popular in the biomedical domain in recent years. It is usually presented as an attempt to bridge a supposed gap between knowledge produced at the laboratory bench and its use at the clinical bedside. This is claimed to help society harvest the benefits of its investments in scientific research. The past decade has witnessed a remarkable acceleration in the pace of translational cancer medicine - genome sequencing of various human cancers has been broadly deployed in drug discovery programs, diagnostic tests have been developed to predict molecularly targeted anticancer agents, advent of cancer immunotherapies, an enhanced appreciation of the complex interactions that exist between tumor cells and their microenvironment have revolutionized the management of cancers. Treatment for cancer and palliative care (PC) go hand in hand and the role of TR in PC can no longer be ignored. This paper discusses about the scientific discourse of TR in cancer care and its implications for the practice of PC. It starts with a brief reconstruction of the history of the concept and subsequently unravels how the label is used in clinical/research practice. In conclusion, TR seems to be driven by a changed relationship between science and society. "Translation" has become important because society is thought to deserve a tangible return in terms of health and quality of life on its investment in basic biomedical science.