Literature DB >> 30464432

Impact of frailty on do-not-resuscitate orders and healthcare transitions among elderly Koreans with pneumonia.

Jung-Yeon Choi1, Sun-Wook Kim1, Sol-Ji Yoon2, Min-Gu Kang1, Kwang-Il Kim1, Cheol-Ho Kim1.   

Abstract

PURPOSE: Pneumonia poses a significant health risk in aging societies. We aimed to elucidate the determinative value of frailty for do-not-resuscitate (DNR) orders in pneumonia patients. PATIENTS AND METHODS: This was a retrospective cohort study conducted at the Seoul National University Bundang Hospital (SNUBH) in Korea. Medical records of 431 pneumonia patients, aged 65 years and older, who were admitted between June 2014 and May 2015 were analyzed. Patients were categorized into DNR and no-DNR groups.
RESULTS: Among the 65 patients (15.1% of pneumonia patients) who completed DNR documents, 24 patients were survived, and 21 patients decided imminent to death (<24 hours before death), with all decisions determined by surrogates. The DNR group tended to be older and frail, with higher rates of renal impairment and malnutrition, and had a lower microbiology detection effort than the no-DNR group. The DNR group used a high number of broad-spectrum antibiotics, experienced high levels of in-hospital (63.1% vs 5.7%, P<0.001) and 30-day (64.6% vs 9.6%, P<0.001) mortality rates, and had prolonged hospital stays (median length of hospital stay, 12 vs 9 days, P=0.020). Frailty was independently associated with DNR status even after adjustment for sepsis, septic shock, and the pneumonia severity index (PSI) score. Frailty also significantly influenced healthcare setting transitions after adjustment for sepsis, septic shock, and the PSI.
CONCLUSION: We identified the factors associated with DNR orders and their prognoses among elderly Koreans with pneumonia. Frailty was significantly associated with DNR decision and healthcare setting transitions in pneumonia patients.

Entities:  

Keywords:  do-not-resuscitate; end-of-life care; frailty index

Mesh:

Year:  2018        PMID: 30464432      PMCID: PMC6219099          DOI: 10.2147/CIA.S181400

Source DB:  PubMed          Journal:  Clin Interv Aging        ISSN: 1176-9092            Impact factor:   4.458


Introduction

Korea is one of the countries with the highest life expectancies, which poses a significant public health burden. In 2016, pneumonia ranked as the fourth leading cause of death; the mortality rate for pneumonia was 11.6% and 246.8% higher than that in 2015 and 2006, respectively, and a significant proportion of these cases were related to elderly.1 However, few studies have focused on pneumonia treatment in frail, older adults with cognitive and/or physical dysfunction or the prognostic value of frailty in elderly pneumonia patients. The treatment course and the time point at which advance directives should be proposed depend on personal philosophy in valuing independent life and dignity, as well as the ethical decision of patients’ families and physicians. This is an important issue because elderly patients are heterogeneous in terms of overall health, functional capacity, and immunological response. Frailty manifests as a loss of biological reserve among multiple organ systems and vulnerability to possible stress, which reflect physiological age rather than chronological age.2 Various models to identify frailty have been introduced and validated, including the frailty phenotype and frailty index (FI), which calculate the cumulative deficit using 30–40 variables.3–5 FI could be calculated with a simple calculation of the presence of each variable as a proportion of the total. Although some studies have evaluated the association between do-not-resuscitate (DNR) orders and mortality rate, there is a little research on the impact of frailty status on DNR orders in elderly pneumonia patients.6–8 By August 2017, Korea did not have a specific official procedure for DNR documentation. Therefore, several hospitals operate their own guidelines for DNR process and documentation. Seoul National University Bundang Hospital (SNUBH) received consent for the DNR with electronic medical record from the patient’s family by the physician when the patients are in the end-of-life status. From August 2017, with the help of “Law of Determination of Medical Care for Life Prolongation” applied in Korea, depending on the patient’s ability to make decisions and medical conditions, patients or their family members could write “Advanced directive”, “Advanced medical intent”, or “Advanced medical care plan” and could be able to enforce by their family members and one or two doctors. Some studies have focused on the factors influencing life-prolonging medical treatment or DNR orders for terminally ill patients.9,10 DNR decisions tend to be taken by surrogates, as they are usually determined in the late stages of an illness when patients are unconscious or death is imminent.9,11 We tried to evaluate the decisive clinical characteristics, as well as anthropometric and laboratory findings, in particular frailty, associated with determining DNR orders among older Korean patients with pneumonia in a teaching hospital. We compared initial antibiotic choices, bacteriological findings, clinical courses, and prognoses between patients with and without DNR orders. The impact of frailty on healthcare setting transition in elderly pneumonia patients was also evaluated.

Patients and methods

Patient selection

This retrospective cohort study was conducted at the SNUBH that has 1,300 beds. Patients aged 65 years or older admitted for pneumonia between June 2014 and May 2015 were included in this study. Pneumonia was defined as a inflammatory condition of the lung proven by at least simple chest X-ray with definite fever (>38.0°C). Patients were excluded if they were initially admitted for reasons other than pneumonia or treated with antibiotics for more than 3 days before admission to maintain the homogeneity of the study population and to exclude the possibility of bias due to prehospital treatment. Patients were categorized into the DNR group and no-DNR groups. The DNR group was defined as the presence of an electronically formatted DNR document during the hospitalization period. Baseline patient characteristics including age, sex, height, weight, comorbidities, and area of residence before admission were collected from electronic medical records, retrospectively. Severity of pneumonia was assessed using the CURB-65 score and pneumonia severity index (PSI) Score at admission.12,13 The conventional definition for sepsis was used as previously described, and septic shock was defined as using vasopressors during the hospitalization period.14 The study protocol was reviewed and approved by the institutional review board (IRB) of the SNUBH, which waived the requirement for informed consent if it is impossible to get the informed consent of the subjects who admitted several years ago, there is no reason to estimate the rejection of the subjects’ consent, and the risk to the subjects is extremely low even if the consent is waived (IRB No, B-1608/357-105). Research data were stored in a password-protected file and kept in a locked laboratory. The data will be maintained for 3 years from the end of research and will be destroyed in accordance with the relevant laws.

Study outcomes

The primary objective of this study was to identify the decisive factors associated with DNR orders in older patients with pneumonia. Baseline characteristics including comorbidities; demographic, anthropometric, and laboratory data; severity indices; and initial antibiotic choice were compared between the DNR group and no-DNR group. The secondary objective was to identify the impact of frailty on healthcare setting transitions (transitioning from care in the home to care in the hospital or a nursing home). Microbiological diagnoses were performed using sputum, blood, bronchial washing, and pleural effusion. Microbial detection effort was defined as conducting a sputum examination and/or a urinary antigen test. Pneumococcal pneumonia was diagnosed in combination with a positive urinary antigen test. The presence of Mycoplasma pneumoniae was diagnosed only when there were significant findings in a single serum or paired serum test. Drug-resistant bacteria included Pseudomonas aeruginosa, methicillin-resistant Staphylococcus aureus (MRSA), Acinetobacter sp., and extended-spectrum β-lactamase-producing bacteria Enterobacteriaceae. Discharge sites were categorized as home, a nursing home, and transitional care or long-term care facilities. Survival outcomes were collected by the Ministry of Security and Public Administration on November 4, 2017. Surrogates’ DNR decisions and time differences between in-hospital mortality and the DNR order were also described.

Frailty index

We constructed the FI using a cumulative deficit model including symptoms, signs, abnormal laboratory values, disease status, and disabilities.15 The FI, calculated retrospectively by J-YC as the ratio of deficits present out of the total number of possible deficits at admission, provides a continuous score, ranging from total fitness (0) to total frailty (1). Our FI comprised 46 characteristics from the electronic medical record system, such as comorbidities, functional abilities, signs and symptoms, laboratory values, and socioeconomic status. Comorbidities included dementia, malignancy, heart failure, cerebrovascular/cardiovascular diseases, liver diseases, and renal diseases. Functional abilities comprised activity limitation, movement limitation, communication ability, awareness state, response to pain, visual impairment, and hearing impairment. Signs and symptoms comprised pain, appetite, sleep disorder, skin condition, orientation of time, person, place, defecation disorder, urinary symptoms, and symptoms of multiple organ systems (respiratory/circulatory/gastrointestinal/neurologic/sensory). Laboratory values comprised hemoglobin, total protein, total cholesterol, and albumin levels. Socioeconomic status comprised education level, marital status, and institutionalization (reside in nursing home, transitional care facility, or any long-term care center) before admission. Additional items included current smoking or drinking status and body mass index (BMI). The cutoff value for frailty (FI≥0.35) was defined using the clinical frailty scale from another study.4,16

Statistical analyses

Statistical analyses were performed using SPSS version 21.0 (IBM Corporation, Armonk, NY, USA). Continuous variables were expressed as mean (SD) or median (inter-quartile range [IQR]) for variables not normally distributed. Continuous variables were compared using an unpaired t-test. Categorical variables are represented as number (proportion), and the Chi-squared or Fisher’s exact test was used to compare proportions. Patients admitted two or more times between June 2014 and May 2015 were analyzed separately. ORs were used as a summary measure for the relationship between selected variables and DNR status with logistic regression analysis. The adjustment was made with variables such as age, sex, BMI, comorbidities, residence before admission, and disease severity. Models 1, 2, 3, and 4 were adjusted for sepsis, septic shock, the PSI, and intensive care unit (ICU) admission, respectively. All calculated P-values were two tailed; P<0.05 was considered statistically significant.

Results

Baseline demographics and clinical characteristics of the study population

A total of 512 patients and 541 admission cases were enrolled, of whom 29 patients who were admitted twice within the study period were analyzed separately. Fifty-eight admission cases, comprising 57 patients with a diagnosis of pneumonia but who were not admitted for pneumonia and 52 admission cases, comprising 52 patients who were treated with antibiotics for ≥3 days before admission, were excluded from the study. Accordingly, the data from 403 patients and 431 admission cases were used in the analysis, and 69.1% (298 cases) were male with a median age (IQR) of 78 (73–84) years. Among them, 165 cases were institutionalized (admitted at hospital or long-term care facility) before admission to treat pneumonia. The median length of hospital stay (IQR) was 9 (6–15) days. Sixty-five (15.1%) patients made DNR decisions within the hospitalization period. Sixty-two (14.4%) patients died in the hospital. Of the patients in the DNR group who died during the admission period (n=41), the median time between in-hospital mortality and the DNR order (IQR) was 32 (4–107) hours. A total of 165 (38.3%) patients were institutionalized before the admission, and 231 (53.6%), 73 (16.9%), and 65 (15.1%) patients were discharged home, a transitional hospital, and a nursing home, respectively. The median FI (IQR) was 0.34 (0.24–0.43); by using an FI of ≥0.35, 215 (49.9%) patients were defined as having frailty.

Identification of the factors involved in the DNR decision and prognoses of patients in the DNR group

Analyzed data on the relationship among patients’ comorbidities, demographic and laboratory data, frailty and pneumonia severity, and the presence of a DNR order are presented in Table 1. Patients in the DNR group were older and tended to have lower levels of protein, albumin, and cholesterol and higher levels of blood urea nitrogen (BUN) and creatinine. The DNR group needed a vasopressor to maintain blood pressure more frequently and had a higher degree of confused consciousness and severe pneumonia, as defined by the PSI score or CURB-65 score. The FI and prevalence of frailty were higher in the DNR group. Concentrations of C-reactive protein or white blood cells and incidences of comorbidity did not differ between the groups.
Table 1

Comparison of baseline clinical characteristics, laboratory findings, and severity of pneumonia according to the DNR order status

With DNR (n=65)Without DNR (n=366)P-values
Demographic characteristics, mean (SD)
Age (years)80.7 (7.1)78.2 (7.3)0.009
Sex (male/female), n49/16249/1170.237
Body mass index (kg/m2)21.6 (21.9)22.2 (13.6)0.808
Institutionalization, n (%)28 (43.1)137 (37.4)0.388
Comorbidity, n (%)
Malignancy15 (23.1)53 (14.5)0.080
Heart failure13 (20.0)42 (11.5)0.058
Cardiovascular disease19 (29.2)131 (35.8)0.306
Liver disease010 (2.7)NA
Renal disease10 (15.4)51 (13.9)0.757
Dementia19 (29.2)85 (23.2)0.297
Laboratory findings, mean (SD)
CRP (mg/dL)16.70 (8.46)14.82 (8.22)0.090
WBC (×103/µL)11.9 (7.2)12.3 (6.0)0.665
Hemoglobin (g/dL)11.0 (2.1)11.4 (2.0)0.130
BUN (mg/dL)33.4 (22.1)25.5 (20.5)0.005
Creatinine (mg/dL)1.71 (1.51)1.25 (1.06)0.021
Protein (mg/dL)5.8 (0.9)6.1 (0.8)0.021
Albumin (mg/dL)2.8 (0.6)3.1 (0.6)<0.001
Cholesterol (mg/dL)118.4 (38.9)129.5 (38.4)0.034
Severity, n (%)
Confusion40 (61.5)118 (32.2)<0.001
Pleural effusion26 (40.0)106 (29.0)0.075
CURB-65 score, mean (SD)3.00 (1.17)2.30 (1.00)<0.001
PSI score, mean (SD)137.7 (30.9)114.8 (30.0)<0.001
Risk by PSI ≥ moderate61 (93.8)283 (77.3)0.001
Sepsis49 (75.4)236 (64.5)0.087
Septic shock40 (61.5)76 (20.8)<0.001
Frailty index, mean (SD)0.335 (0.105)0.257 (0.112)<0.001
Frail (FI≥0.35)49 (75.4)166 (45.4)<0.001

Notes: Data are presented as mean (SD) or n (%). Bold figures indicate statistically significant, P<0.05.

Abbreviations: BUN, blood urea nitrogen; CRP, C-reactive protein; DNR, do not resuscitate; NA, not applicable; PSI, pneumonia severity index; WBC, white blood cell.

Only five (7.7%) patients in the DNR group (n=65) were discharged home and 41 (63.1%) patients died during the admission period, whereas 223 (60.9%) patients in the no-DNR group (n=366) were discharged home and 21 (5.7%) patients died. Both in-hospital (63.1% vs 5.7%, P<0.001) and 30-day mortality rates after discharge (64.6% vs 9.6%, P<0.001) were significantly higher in the DNR group; the length of hospital stay was also longer in this group (median length of hospital stay, 12 vs 9 days, P=0.020; Table 2).
Table 2

Outcomes of admission due to pneumonia according to the DNR order status

OutcomesWith DNR (n=65)Without DNR (n=366)P-values
In-hospital mortality41 (63.1)21 (5.7)<0.001
30-day mortality42 (64.6)35 (9.6)<0.001
Discharge sitea (home/hospital/nursing home/death)5/12/7/41226/61/58/21<0.001
Length of hospital stay (days)15.8 (13.5)11.7 (9.3)0.020

Notes: Data are presented as mean (SD) or n (%).

Discharge site were analyzed by linear by linear association. Bold figures indicate statistically significant, P<0.05.

Abbreviation: DNR, do not resuscitate.

A multiple logistic regression analysis was conducted to determine the association between frailty and the presence of DNR orders, adjusted for age, sex, BMI, comorbidities, institutionalization before admission, and disease severity (sepsis or septic shock or PSI or ICU admission; Table 3). The ORs for the impact of frailty on DNR decisions were 3.559 (95% CI, 1.754–7.219, P<0.001), 2.486 (95% CI, 1.199–5.155, P=0.014), 2.629 (95% CI, 1.259–5.488, P=0.010), and 2.654 (95% CI, 1.301–5.412, P=0.007) after disease severity was adjusted for sepsis, septic shock, PSI, and ICU admission, respectively.
Table 3

Adjusted ORs by frailty for DNR decision and healthcare transition using multiple logistic regression analysis

ORs for DNR decision (95% CI)P-valueORs for healthcare transition (95% CI)P-value
Model 1a3.559 (1.754–7.219)<0.0016.189 (2.142–17.882)0.001
Model 2b2.486 (1.199–5.155)0.0142.251 (1.110–4.566)0.025
Model 3c2.629 (1.259–5.448)0.0103.965 (1.279–12.288)0.017
Model 4d2.654 (1.301–5.412)0.0075.553 (1.877–16.430)0.002

Notes:

Model 1 was adjusted by age, sex, BMI, comorbidities (malignancy, heart failure, cardiovascular disease, renal disease, and dementia), institutionalization before admission, and sepsis.

Model 2 was adjusted by age, sex, BMI comorbidities, institutionalization before admission, and septic shock.

Model 3 was adjusted by age, sex, BMI comorbidities, institutionalization before admission, and PSI score.

Model 4 was adjusted by age, sex, BMI comorbidities, institutionalization before admission, and ICU admission.

Abbreviations: BMI, body mass index; DNR, do not resuscitate; ICU, intensive care unit; PSI, pneumonia severity index.

Bacteriological findings, initial choice of antibiotics, and effort in identifying pathologic bacteria

MRSA, Klebsiella sp., Acinetobacter sp., and Candida sp. were more frequently detected in the DNR group, as these were drug-resistant bacteria. The number of patients with unknown bacteriology was higher in the no-DNR group. As for the initial choice of antibiotics, the rate of monotherapy use did not significantly differ. The frequency of monotherapy using piperacillin/tazobactam was higher in the DNR group, whereas combination therapy with β-lactams and macrolides was more common in the no-DNR group. The frequency with which initial antibiotics were chosen as antipseudomonal or anti-MRSA agents did not differ between the groups. Although the microbial detection effort was high in both groups, a higher rate of positive efforts in detecting bacteria were observed in the no-DNR group (98.6% vs 93.8%, P=0.033; Table 4).
Table 4

Bacteriological findings, initial treatment choice of antibiotics, and microbial detecting effort

With DNR (n=65), n (%)Without DNR (n=366), n (%)P-values
Bacteriology
MSSA1 (1.6)16 (4.4)0.487
MRSA17 (27.9)52 (14.4)0.009
Pseudomonas aeruginosa8 (13.1)32 (8.9)0.295
Klebsiella sp.19 (31.1)46 (12.7)<0.001
Haemophilus influenzae0 (0)2 (0.6)1.000
Enterobacter sp.2 (3.3)11 (3.0)1.000
Escherichia coli3 (4.9)27 (7.5)0.598
Acinetobacter sp.8 (13.1)22 (6.1)0.048
Moraxella catarrhalis1 (1.6)0 (0)0.145
Mycoplasma pneumonia1 (1.6)1 (0.3)0.268
Candida sp.19 (31.1)53(14.7)0.002
ESBL11 (18.0)35 (9.7)0.053
Carbapenem-resistant Pseudomonas2 (3.3)6 (1.7)0.326
Drug-resistant bacteriaa34 (55.7)88 (24.4)<0.001
Initial antibiotics
Monotherapy26 (40.0)118 (32.2)0.222
 Ampicillin/sulbactam0 (0)3 (0.8)1.000
 Cephalosporin4 (6.2)24 (6.6)1.000
 Carbapenem1 (1.5)7 (1.9)1.000
 Quinolone2 (3.1)28 (7.7)0.287
 Tazocin19 (29.2)55 (15.0)0.005
 Others0 (0)1 (0.3)1.000
Combination39 (60.0)248 (67.8)
 β-Lactam+quinolone8 (12.3)75 (20.5)0.123
 β-Lactam+macrolide5 (7.7)76 (20.8)0.013
 β-Lactam+clindamycin5 (7.7)19 (5.2)0.418
 β-Lactam+vancomycin0 (0)1 (1)1.000
 Tazocin+quinolone16 (24.6)73 (19.9)0.391
 Others5 (7.7)4 (1.1)0.005
Microbial detection effortsb61 (93.8)361 (98.6)0.033

Notes:

Drug-resistant bacteria included Pseudomonas aeruginosa, MRSA, Acinetobacter, ESBL-producing Enterobacteriaceae were defined.

If the sputum examination and/or urinary antigen test were done. Bold figures indicate statistically significant, P<0.05.

Abbreviations: DNR, do not resuscitate; ESBL, extended-spectrum β-lactamase; MRSA, methicillin-resistant Staphylococcus aureus; MSSA, methicillin-sensitive Staphylococcus aureus.

Proxy decision making and time taken to propose DNR decisions

None of the patients with a DNR order provided written informed consent for the DNR by themselves. Surrogates were predominantly patients’ sons or daughters (86.2%) with other proxies including spouses (6.2%) and other family members (7.7%). Of the 41 patients with a DNR order at the time of death, the DNR order was written within the last 24 hours of life for 19 (46.3%) patients, 2–3 days prior to death for 10 (24.4%) patients, 3–7 days prior to death for 8 (19.6%) patients, and >7 days prior to death for 4 (9.8%) patients. The distribution of the time differences between mortality and the DNR order is shown in Figure 1.
Figure 1

Time difference between in-hospital mortality and DNR orders.

Note: The distribution of the number of patients was visualized according to the time difference between in-hospital mortality and DNR orders.

Abbreviation: DNR, do not resuscitate.

Impact of frailty on healthcare transitions after pneumonia treatment in elderly adults

The impact of frailty on healthcare setting transitions was analyzed among the 266 patients who lived at home before their admission due to pneumonia. Two hundred eight patients were discharged home after treatment of pneumonia; however, 23 and six patients were discharged to transitional care hospitals and nursing facilities, respectively. The multiple logistic regression analysis to identify the impact of frailty on healthcare setting transitions adjusted for age, sex, BMI, comorbidities, institutionalization before admission, and disease severity (sepsis or septic shock or PSI) is shown in Table 3. The ORs for the impact of frailty on healthcare setting transitions were 6.189 (95% CI, 2.142–17.882, P<0.001), 2.251 (95% CI, 1.110–4.566, P=0.025), 3.965 (95% CI, 1.279–12.288, P=0.017), and 5.553 (95% CI, 1.877–16.430, P=0.002) after disease severity was adjusted for sepsis, septic shock, PSI, or ICU admission, respectively.

Discussion

This study described factors impacting physicians’ decisions in proposing DNR and the impact of frailty on healthcare setting transitions in elderly Korean pneumonia patients. Physicians were more likely to propose DNR when the patients were older or frail and had low albumin, protein, and cholesterol levels, high BUN and creatinine levels, confused mental status, and severe pneumonia. Patients who had a DNR order were more likely to have higher in-hospital mortality or 30-day all-cause mortality. In this study, a DNR decision was taken for 15.1% of the patients with pneumonia. The DNR rate was lower compared to that observed in previous studies conducted in the USA, Canada, and Japan (28.5%–32.6%).17,18 However, DNR rates could vary among institutes or hospitals due to the absence of standardized decision-making processes in the case of pneumonia and differing policies. One study noted that patients from hospital A were 50% more likely to have DNR orders than those from hospital B; in addition, the practice patterns also varied substantially among specialists.19 The prevalence of frailty in this study was 49.9%, and the mean frailty indices were 0.325 in men and 0.353 in women. The prevalence of frailty was higher than that observed in other studies on community-dwelling elderly adults.16 However, the prevalence of frailty was comparable with that observed in studies on patients with atrial fibrillation (48.2%) or non-ST segment elevation myocardial infarction (48.5%).20,21 In our study, the FI was significantly correlated with chronological age (P<0.001 by the Spearman’s rank correlation coefficient) and negative health outcomes such as in-hospital mortality (4.6% vs 24.2%, P<0.001) and 30-day mortality (7.4% vs 28.4%, P<0.001). The variables used in the FI were deficits associated with health status and increasing prevalence with age. The fact that our FI could predict mortality after adjustment for chronological age or pneumonia severity suggest that our FI may represent patients’ actual frailty status to an extent. In Korea, official legal systems have not been formulated for advanced directives or DNR orders for pneumonia patients. In 1997, a court convicted a family for murder and a hospital for assisting in the crime for removing ventilation from a comatose patient after head trauma. Due to this, and the absence of legislation to defend such legal charges, physicians may hesitate in taking a DNR decision even for patients where reversibility of the condition is very low or absent. Although there was no statistical significance, the proportion of patients with cancer or congestive heart failure was higher in the DNR group; this could be attributed to the fact that malignancies or heart failure are considered irreversible by the public. Therefore, physicians might be more comfortable taking DNR decisions in such patients. In Korea, owing to the aging of the population and increase in the mortality rate associated with pneumonia (5.9% of all deaths), especially among older adults, end-of-life decisions for pneumonia must be discussed by patients, their family members, and physicians. Decisions should then be formally legalized. Physicians tend to select broad-spectrum antibiotics for the treatment of patients with DNR orders. Piperacillin/tazobactam therapy was selected more frequently for patients with DNR orders, whereas β-lactam+macrolide was chosen more frequently for those without. Broad-spectrum antibiotics were used based on patients’ pneumonia severity or place of residence before admission, irrespective of the DNR status. This result was identical to that observed in another study.18 However, efforts to identify the etiology of microbiology were not as conscientious in the DNR group as in the no-DNR group. This could be due to guardians’ preferences or the physicians’ reluctance to perform invasive procedures, such as catheter aspiration, which could distress patients. Patients in the DNR group had nearly an eightfold increase in the in-hospital mortality rate and over a sixfold increase in the 30-day mortality rate (64.6% vs 9.6%). Length of hospital stay was also longer in the DNR group. Most patients (93.8%) with DNR orders and 77.3% of those without DNR orders were in risk groups IV and V, respectively, based on the PSI score. This result shows that the patients with DNR orders had a higher severity of pneumonia at baseline. Among patients in the same risk group, mortality rate was much higher in the DNR group (3.9% vs 65.2% in category IV and 11.5% vs 63.2% in category V). It may be assumed that DNR orders proposed by physicians and approved by family members based on comprehensive medical conditions and frailty. We found that DNR decisions were made by a surrogate, and over two-thirds of these decisions were written on the the day of passing or a day before. This may be attributed to cultural factors, such as the fact that older adults may be hesitant to be informed of their poor prognoses and also due to the presence of acute critical illnesses that were associated with confused mentality in 36.7% of the cases at admission. Delayed DNR decision making observed in this study is in concordance with that noted in another study that focused on identifying the timing of DNR orders for patients with imminent death.9,11 Family members may provide assistance to physicians in articulating patients’ values and their preferred end-of-life care when patients are unable to express themselves; previous studies showed that patients with a family member present were more likely to have a DNR order.22 However, Tsevat et al23 also found that proxies cannot guide the health values of elderly hospitalized patients accurately, and the majority (68.6%) of very old elderly patients were willing to give up at most 1 month of 12 in exchange for excellent health. For these reasons, efforts must be made to speak to very old adults about their health values when they are still healthy and able to understand advanced directives. Frailty is known to be related to institutionalization or short- and long-term outcomes in hospitalized older adults.24 Our study also found that frailty was associated with healthcare setting transitions to institutions from home after adjustment for age, comorbidities, and pneumonia severity. Even though patients’ age, comorbidities, and pneumonia severity are important clinical factors to determine whether elderly pneumonia patients need intensive or conservative treatment, assessment of physiologic vulnerabilities unique to the elderly, such as frailty, should also be considered to determine the discharge site because function to maintain independent living of frailty elderly could deteriorate after pneumonia treatment. Our study has some limitations. First, due to the retrospective design, we were unable to identify cases where physicians proposed DNR orders but surrogates rejected them, as well as those where patients decided their DNR preferences before admission; we also could not determine the interphysician factors involved in DNR decision making. A previous study demonstrated that physicians who majored in pulmonary or critical care more frequently suggested DNRs.25 In addition, because patients without close relatives/surrogates could not decide the DNR on their behalf concerned about legal disputes, the DNR decision before the enactment of the relevant statute infringed self-determination. Second, since our study population was reviewed retrospectively and data were collected from only one tertiary hospital, selection bias could not be ruled out, limiting the generalizability of the findings. In addition, eventhough the importance of aspiration pneumonia is further emphasized in frail elderly, we could not identify whether patients had aspiration event or aspiration tendency before pneumonia admission accurately. Third, among the 19 patients who indicated the comment on the use of vasopressors in the DNR document, 3 of 9 non-septic shock patients and 2 of 10 septic shock patients wanted to use vasopressors. Therefore, DNR decision on septic shock (need for the vasopressors to maintain blood pressure) could be influenced as a confounding factor. Also, we failed to adjust the updated definition of sepsis because we targeted patients from 2014 to 2015 and most of them have missing data to calculate Sequential Organ Failure Assessment (SOFA) score.26 Finally, the data on frailty status and pneumonia severity were attained in a cross-sectional manner, and therefore, the FI obtained in our study could be influenced by pneumonia severity and the factors adjusted in this study would not sufficiently reflect the confounding of the frailty status.

Conclusion

We demonstrated clinical and demographical factors in determining DNR orders (older age; frailty; high levels of BUN and creatinine; low levels of protein, albumin, and cholesterol; and severe pneumonia) in elderly pneumonia patients who required admission to the hospital. Although several pneumonia guidelines, depending on the patients’ area of residence when they developed pneumonia, have been released, there is a lack of guidelines for the management of elderly pneumonia patients who have multiple comorbidities and frailty and whose treatment options are limited. There remains a need for more evidence on the comprehensive and effective management of elderly pneumonia patients, inclusive of end-of-life care, as well as their family members and physicians.
  25 in total

1.  Prevalence and related factors of do-not-resuscitate directives among nursing home residents in Taiwan.

Authors:  Yu-Tai Lo; Jing-Jy Wang; Li-Fan Liu; Chun-Nien Wang
Journal:  J Am Med Dir Assoc       Date:  2010-04-03       Impact factor: 4.669

2.  CPR or DNR? End-of-life decision in Korean cancer patients: a single center's experience.

Authors:  Do-Youn Oh; Jee-Hyun Kim; Dong-Wan Kim; Seock-Ah Im; Tae-You Kim; Dae Seog Heo; Yung-Jue Bang; Noe Kyeong Kim
Journal:  Support Care Cancer       Date:  2005-09-08       Impact factor: 3.603

3.  Frailty is independently associated with short-term outcomes for elderly patients with non-ST-segment elevation myocardial infarction.

Authors:  Niklas Ekerstad; Eva Swahn; Magnus Janzon; Joakim Alfredsson; Rurik Löfmark; Marcus Lindenberger; Per Carlsson
Journal:  Circulation       Date:  2011-11-07       Impact factor: 29.690

4.  Association of Do-Not-Resuscitate Orders and Hospital Mortality Rate Among Patients With Pneumonia.

Authors:  Allan J Walkey; Janice Weinberg; Renda Soylemez Wiener; Colin R Cooke; Peter K Lindenauer
Journal:  JAMA Intern Med       Date:  2016-01       Impact factor: 21.873

5.  Frailty in older adults: evidence for a phenotype.

Authors:  L P Fried; C M Tangen; J Walston; A B Newman; C Hirsch; J Gottdiener; T Seeman; R Tracy; W J Kop; G Burke; M A McBurnie
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2001-03       Impact factor: 6.053

6.  Health values of hospitalized patients 80 years or older. HELP Investigators. Hospitalized Elderly Longitudinal Project.

Authors:  J Tsevat; N V Dawson; A W Wu; J Lynn; J R Soukup; E F Cook; H Vidaillet; R S Phillips
Journal:  JAMA       Date:  1998-02-04       Impact factor: 56.272

7.  Association of Early Do-Not-Resuscitate Orders with Unplanned Readmissions among Patients Hospitalized for Pneumonia.

Authors:  Anuj B Mehta; Colin R Cooke; Ivor S Douglas; Peter K Lindenauer; Renda Soylemez Wiener; Allan J Walkey
Journal:  Ann Am Thorac Soc       Date:  2017-01

8.  Family involvement in end-of-life hospital care.

Authors:  Jeanne M Tschann; Sharon R Kaufman; Guy P Micco
Journal:  J Am Geriatr Soc       Date:  2003-06       Impact factor: 5.562

9.  Prevalence and outcomes of frailty in Korean elderly population: comparisons of a multidimensional frailty index with two phenotype models.

Authors:  Hee-Won Jung; Sun-Wook Kim; Soyeon Ahn; Jae-Young Lim; Ji-Won Han; Tae-Hui Kim; Ki-Woong Kim; Kwang-Il Kim; Cheol-Ho Kim
Journal:  PLoS One       Date:  2014-02-04       Impact factor: 3.240

10.  A standard procedure for creating a frailty index.

Authors:  Samuel D Searle; Arnold Mitnitski; Evelyne A Gahbauer; Thomas M Gill; Kenneth Rockwood
Journal:  BMC Geriatr       Date:  2008-09-30       Impact factor: 3.921

View more
  5 in total

1.  Infections in the older population: what do we know?

Authors:  Didier Schoevaerdts; François-Xavier Sibille; Gaetan Gavazzi
Journal:  Aging Clin Exp Res       Date:  2019-10-26       Impact factor: 3.636

Review 2.  Pharmacotherapy of Lower Respiratory Tract Infections in Elderly-Focused on Antibiotics.

Authors:  Yang Liu; Yan Zhang; Wanyu Zhao; Xiaolei Liu; Fengjuan Hu; Birong Dong
Journal:  Front Pharmacol       Date:  2019-10-31       Impact factor: 5.810

3.  Frailty and hospitalization-associated disability after pneumonia: A prospective cohort study.

Authors:  Chan Mi Park; Wonsock Kim; Hye Chang Rhim; Eun Sik Lee; Jong Hun Kim; Kyung Hwan Cho; Dae Hyun Kim
Journal:  BMC Geriatr       Date:  2021-02-05       Impact factor: 3.921

4.  Impact of frailty on 30-day and 1-year mortality in hospitalised elderly patients with community-acquired pneumonia: a prospective observational study.

Authors:  Jia Luo; Wen Tang; Ying Sun; Chunyan Jiang
Journal:  BMJ Open       Date:  2020-10-31       Impact factor: 2.692

5.  Functional status recovery trajectories in hospitalised older adults with pneumonia.

Authors:  Chan Mi Park; Ravi Dhawan; Jessica J Lie; Stephanie M Sison; Wonsock Kim; Eun Sik Lee; Jong Hun Kim; Dae Hyun Kim
Journal:  BMJ Open Respir Res       Date:  2022-05
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