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Psychiatry Investig > Volume 19(4); 2022 > Article
Wu, Peng, Chung, Chien, and Tzeng: Real-World Evidence for the Association Between Pneumonia-Related Intensive Care Unit Stay and Dementia

Abstract

Objective

There is limited clarity concerning the risk of dementia after pneumonia with intensive care unit (ICU) stay. We conducted a nationwide cohort study, which aimed to investigate the impact of dementia after pneumonia with and without intensive care unit admission.

Methods

Data was obtained from Taiwan’s National Health Insurance Research Database between 2000 and 2015. A total of 7,473 patients were identified as having pneumonia required ICU stay, along with 22,419 controls matched by sex and age. After adjusting for confounding factors, multivariate Cox regression model analysis was used to compare the risk of developing dementia during the 15-years follow-up period.

Results

The enrolled pneumonia patients with ICU admission had a dementia rate of 9.89%. Pneumonia patients without ICU admission had a dementia rate of 9.21%. The multivariate Cox regression model analysis revealed that the patients with ICU stay had the higher risk of dementia, with a crude hazard ratio of 3.371 (95% confidence interval, 3.093-3.675; p<0.001).

Conclusion

This study indicated that pneumonia with ICU stay is associated with an increased risk of dementia. A 3-fold risk of dementia was observed in patients admitted to the ICU compared to the control group.

INTRODUCTION

Pneumonia is the leading cause of morbidity and mortality Print ISSN 1738-3684 / On-line ISSN 1976-3026 OPEN ACCESS in the world, and was the third leading cause in Taiwan in 2017 [1]. It is a common infectious respiratory disease diagnosed based on clinical symptoms, physical signs, and chest radiographs. Majority of pneumonia patients can be treated as outpatients, and only less than 1% require hospitalization, or intensive care unit (ICU) admission [2]. Dementia is a progressive and incurable disorder characterized by decline in cognition [3,4]. In Taiwan, pneumonia becomes a heavy burden for the patient’s families, caregivers, communities, and the society [5,6].
Elderly pneumonia patients have functional and cognitive impairment [7,8]. ICU stay can influence the outcome of cognition [9]. Pneumonia resulting in ICU admission can lead to impaired cognition. One study has found that hospitalization with pneumonia, even in the well-functioning older adults is associated with increased risk of dementia [10]. Several studies have revealed the increased subsequent risk of cognitive function impairment or dementia in the critical settings. Another study has shown that, in a one-year follow up of 80 pneumonia patients who were hospitalized, moderate-to-severe impairment in multiple cognitive domains affected one-third of the patients aged ≥65 years and 20% of the younger patients (age <65 years), and another third of survivors had mild cognitive impairment. The most often noted cognitive deficits occurred in visuospatial function, attention, and memory [11]. A study in Sweden pointed out that older age and severity of acute illness, the severity of comorbidities, and the length of ICU and hospital stay were independent risk factors for the development of dementia. Although dementia is common among patients with sepsis with ICU stay, sepsis was not an independent risk factor [12]. Lastly, a study in Taiwan found that the risk of dementia, for the patients with acute respiratory failure who required the mechanical ventilations, increase with age and are higher in women than in men [13].
However, there is no clarity concerning the relationship between pneumonia with and without ICU admission for the risk of dementia. We hypothesize that pneumonia with ICU stay has synergistic effect on the risk of dementia. Therefore, this retrospective cohort study explores the risk of dementia after pneumonia with ICU stay.

METHODS

Data sources

In Taiwan, the National Health Insurance (NHI) was launched in 1995. As of June 2009, it had included contracts with 97% of medical services with approximately 23 million beneficiaries, or more than 99% of the entire population [14]. The details of this program were documented in several previous studies [6,15-29]. The National Health Insurance Research Database (NHIRD) contains comprehensive data of the beneficiaries. Individual identifies were encrypted before release for research under the Personal Information Protection Act.
The NHIRD used the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes to record diagnoses. All dementia diagnoses were made by board-certified psychiatrists or neurologists. The presence of pneumonia was confirmed by clinical, laboratory, and imaging findings. Further, all types of pneumonia were included. The licensed medical record technicians verified the coding before claiming the reimbursements in hospitals and clinics. The NHI Administration appointed several experts for randomly reviewing the records of ambulatory care visits and inpatient claims to verify the accuracy of the diagnoses. In this study, we used the data from the Longitudinal Health Insurance Database (LHID) (2000-2015), a subset of the NHIRD, to investigate the association between pneumonia with an ICU stay and dementia over a 15-year period.

Ethical approval

This study was approved by the Institutional Review Board of the Tri-Service General Hospital (TSGH IRB No. 2-107-05-026). As patient identifiers were encrypted before their data were used for research purposes to protect confidentiality, the requirement for written or verbal consent from patients for data linkage was waived.

Study design and participants

This study used a matched-cohort design. From the LHID, we enrolled the patients diagnosed with pneumonia with ICU admission between January 1, 2000 and December 31, 2015. Pneumonia patients with ICU stay or dementia before 2000, lung abscess, empyema, and those <50 years of age were excluded (Figure 1A). All the ICD codes were listed in the Supplementary Table 1 (in the online-only Data Supplement). We identified 1:3 study subjects and controls without ICU admission (n=7,473 and n=22,419, respectively) in a frequencymatch for sex, age, and index year. The statistical power is up to 0.875.

Covariates and comorbidity

Covariates included sex, age group (50-64, ≥65 years), season (spring, summer, autumn, and winter), geographic area of residence (north, center, south, and east of Taiwan), level of care (medical center, regional, and local hospital), monthly insurance premium (in New Taiwan Dollars [NT$]: <18,000, 18,000-34,999, and ≥35,000), and urbanization level of residence (level 1-4). The urbanization level of residence was defined by the population, along with various indicators of the level of political, economic, cultural, and metropolitan development. Urbanization level 1 was defined as a population over 1,250,000 with a specific designation as political, economic, cultural, and metropolitan development. Level 2 was defined as a population between 500,000 and 1,249,999, which played an important role in the political system, economy, and culture. Levels 3 and 4 were defined as a population between 149,999 and 499,999, and <149,999, respectively [30].
The selected comorbidities were based on the patient’s data: hypertension (HTN), diabetes mellitus (DM), atrial fibrillation (AF), stroke, cerebral atherosclerosis, other atherosclerosis, fracture of lower limbs, cancer, asthma, chronic obstructive pulmonary disease (COPD), bronchiectasis, idiopathic pulmonary fibrosis (IPF), coronary artery disease (CAD), acute respiratory failure, acute kidney injury (AKI), chronic kidney disease (CKD), hemodialysis (HD), obesity, liver cirrhosis, heart failure (HF), ventilator dependency, and immunocompromised conditions. The ICD codes of comorbidities were listed in the Supplementary Table 1 (in the online-only Data Supplement). The Charlson Comorbidity Index, dementia re moved (CCI_R), HTN, DM, AF, stroke, cerebral atherosclerosis, other atherosclerosis, cancer, COPD, bronchiectasis, IPF, CAD, acute respiratory failure, AKI, CKD, liver cirrhosis, and HF.

Study outcomes

Individuals from the study were followed from the index date until the onset of overall dementia, withdrawal from the NHI program, or until the end of year 2015. The study subjects were grouped as having Alzheimer dementia (AD), vascular dementia (VaD), and other degenerative dementia. The ICD codes of dementia were listed in the Supplementary Table 1 (in the online-only Data Supplement).

Statistical analysis

All statistical analyses were performed using the SPSS software version 22 (IBM Corp., Armonk, NY, USA). χ2 and ttests were used to evaluate the distribution of categorical and continuous variables, respectively, using the Fisher’s exact test. Multivariate cox proportional hazard regression analysis was used to determine the risk of dementia, since death can act as a competing risk factor. The results were presented as a hazard ratio (HR) with 95% confidence interval (CI). The differences in the risk of dementia between the study and control groups were estimated using the Kaplan-Meier method with the log-rank test. A two-tailed p value<0.05 was considered as statistical significance.

RESULTS

Baseline characteristics

The cohort study comprised pneumonia patients with ICU stay (n=7,473) and without ICU stay (n=22,419). The study revealed the proportion of outcomes among exposure groups concerning sex, age, marital status, education, insured premium, comorbidities, frequency of pneumonia visit, season, area of residence, urbanization, and level of care. Compared with control group, ICU stay patients tended to have higher rate of stroke, cancer, acute respiratory failure, CKD, liver cirrhosis, ventilator dependency, HD, as well as a higher CCI_R. However, ICU stay patients had a lower proportion of HTN, DM, other atherosclerosis, fracture of lower limbs, COPD, bronchiectasis, CAD, and HF. Considering the season, location, urbanization level, and level of care, the ratio was higher among summer and autumn, northern and southern Taiwan, highest (level 1) urbanization level, and medical center and regional hospital, respectively, in the ICU group (Table 1).

Kaplan-Meier model for the cumulative risk of dementia

There were 739 individuals out of 7,473 (9.89%) with development of dementia in the study group. Development of dementia was observed among 2,065 individuals out of 22,419 (9.21%) in the control group. The Kaplan-Meier analysis for the cumulative incidence of dementia in the study and control groups was significant (log rank p<0.001; Figure 1B).

The risk of dementia for the patients with pneumonia with intensive care unit stay

The multivariable Cox proportional regression analysis showed the association with the risk of developing dementia (Table 2). The crude HR was 3.371 (95% CI, 3.093-3.675; p< 0.001). After adjusting sex, age, comorbidities, frequency of pneumonia visits, season, urbanization level of residence, and level of care, the adjusted HR was 3.454 (95% CI, 3.158-3.777; p<0.001). Similarly, male sex, old age, HTN, DM, stroke, cerebral atherosclerosis, cancer, CAD, AKI without HD, liver cirrhosis, HF, and ventilator dependency were associated with higher risk. Further, no difference was observed with the complication of CCI_R.

Sensitivity analysis

With regard to the frequency of ICU stay, the adjusted HRs of patients with pneumonia with an ICU stay of one or two admissions and ≥3 admissions were 3.124 (95% CI, 2.984- 3.339; p<0.001), and 4.650 (95% CI, 3.375-4.121; p<0.001), respectively, in comparison with that of the control group. The frequency of pneumonia visits ≥3 times also had higher risk compared to 1-2 visits. Besides, autumn, urbanization level 1, 2, medical center, and regional hospital were associated with an elevated risk compared to the control group, with the exception of urbanization level 3 (Table 3).

Subgroup analyses

A subgroup analysis was also performed. The assessment of dementia risk according to sex, age group, monthly premiums, comorbidity status, seasons of treatment, urban levels and the areas of residence, and the levels of medical care are shown in Table 4. In the majority of groups formed based on sex, age, monthly premiums, seasons of treatment, urban levels and the areas of residence, and levels of medical care, patients with pneumonia with ICU stay had a higher risk of dementia, compared with the controls, with the exception of patients with monthly insured premium ≥35,000 NT$. In addition, the majority of comorbid and non-comorbid patients, antidepressant users had a higher risk for dementia compared with the controls, with the exception of subjects without obesity (Table 4).

Types of dementia after pneumonia with intensive care unit stay

Concerning the types of dementia, the adjusted HRs of pneumonia with ICU stay were 5.209, 2.913, and 3.381, in AD, VaD, and other degenerative dementia, respectively (all the p< 0.001) (Table 5). Despite excluding dementia occurred in the first 2 years after ICU admission, every type of dementia in the study groups were associated with higher risk than the controls. Especially in the AD group, the adjusted HR was up to 7.222 (p<0.001).

DISCUSSION

Pneumonia, intensive care unit stay and the risk of dementia

The present study has several noteworthy findings. First, in a 15-year follow-up, it was observed that the subjects with pneumonia with ICU stay had a nearly three-fold increased risk of developing dementia, compared with the controls. Second, ICU stay is associated with the risk of different types of dementia, including the AD, VaD, and other degenerative dementia. Third, the Kaplan-Meier analysis showed that a 2-year period was required to achieve significant adjusted HR until the end of follow-up. Fourth, we found that several comorbidities were associated an increased risk of dementia, including the sensitivity analysis which revealed that even though we excluded dementia that occurred in the first 2 years after ICU admission, the study groups were still associated with a higher risk compared to the rest. Fifth, we found that more ICU stays were associated with higher risk of developing dementia. To the best of our knowledge, this is the first nationwide, matched cohort study that focused on the association between pneumonia with ICU stay and the risk of dementia.
We found that subsequent dementia among pneumonia patients was positively associated with the male sex and older age. This finding was consistent with the findings of previous studies: a previous cohort study revealed the pneumonia in creased the risk of dementia [11]. However, the present study has several unique points: First, we focused on the patients with pneumonia and ICU stay, compared to the previous study findings which focused on the association between ICU stay and dementia [10,12,13,31]. Second, we conducted subgroup and sensitivity analysis to support this association. Third, we also found that the number of times of pneumonia-related ICU stay, comorbidities, the season wherein pneumonia was treated, the urbanization level, and level of care, were independently associated with the risk of dementia.

Possible mechanisms for the increased risk of dementia in charcoal-burning suicide attempters

The mechanism by which pneumonia patients who were admitted in an ICU had higher cases of dementia, compared to the control, remains unclear. Pneumonia-related hypoxia may contribute to subsequent cognitive impairment, as it induces oxidative stress and neuronal apoptosis, especially in the hippocampus and cerebellum, which are more sensitive to hypoxia [32-34]. Moreover, pneumonia could trigger the release of inflammatory cytokines [35], which lead to neurodegenerative changes [36,37]. Other mechanisms attributable to pneumonia call also influence cognition [38]. Delirium is another issue that worsens long-term global cognition and executive function. It is easily noted with patients with ICU stay, since delirium could predispose the patients to long term cognitive impairment associated with inflammation and neuronal apoptosis [39,40]. Further studies are needed to investigate the association between pneumonia with ICU admission and dementia. In addition, the ill health of the patients in the ICU might contribute the risk of dementia [10,12,13,31].

Types of dementia

In this sample, 2,804/29,892 enrolled subjects (9.38%) had developed dementia including 739/7,473 in the study group (9.89%) and 2,065/22,419 (9.21%) in the controls. The prevalence around 2%-5% for the population aged >65 years in the community studies [41]. Whether ICU stay or not, it revealed the prevalence of patients with pneumonia beyond the average, and aggravated with ICU admission. In Taiwan, several previous studies disclosed that AD was the most common type of dementia, accounting for 40%-60% of all dementias, followed by VaD, and degenerative dementia, which account for 20%-30% and 7%-15% of all dementias, respectively [42,43]. The results reflected the higher risk among AD, VaD, and other degenerative dementia, especially in the AD group. Furthermore, the risk of AD increased significantly, around 7-fold, in the sensitivity analysis. This study finding potentially suggest that ICU stay and pneumonia might hasten the development of dementia in the future.

Socioeconomic factors in the risk of dementia in pneumonia with intensive care unit stay

Our study showed that urbanization level might influence the risk of dementia. The urbanization level 1-3 had the lower risk than level 4, and the results were consistent with those obtained in previous study [44-46]. There were many possible factors, which may have led to dementia, including education [44], living environment [45], air pollution, and noise pollution levels [46]. We also found the level of hospital would also influence the risk of dementia. Patients that lived in the hospital center or regional hospital were at a higher risk of dementia than those in the local hospital.

Strengths of this study

This study had several strengths: First, the diagnosis of pneumonia [47] in the NHIRD has had been previously validated, as well as the validation of several other respiratory diseases, such as asthma [48], sleep apnea [47], and tuberculosis49 has been conducted. Second, one previous study has validated the diagnoses of psychiatric disorders in the NHIRD [50].

Limitations of this study

Limitations of this study The study had some limitations: First, we used ICD-9 code to identify pneumonia, however, previous study showed a reasonable accuracy [51]. Second, patients diagnosed with dementia were identified from the insurance claims data. Nevertheless, data on severity stage and the impact on their caregivers were not available. Types of dementias were indemnified from the ICD codes in these claims data. Third, in this claims dataset, there are no records for the differentiation the community-acquired from nosocomial pneumonia. Fourth, even though only newly diagnosed dementia wound be included in the follow-up period, a protopathic bias, wherein the initiation of an exposure occurred in response to an undiagnosed disease under study, should also be considered since some of the patients with pneumonia had cognitive decline prior to their ICU stay. Finally, the baseline of cognitive function of patients is lacking. Although we used a model to identify dementia occurred in first 2 years, the model could not be completely related to the point of mild cognitive decline before the screening.
In conclusion, pneumonia patients with ICU stay are at a three-fold risk of the development of dementia compared to patients in the control group. Therefore, further studies to elucidate the mechanisms underlying this association are needed.

Supplementary Materials

The online-only Data Supplement is available with this article at https://doi.org/10.30773/pi.2021.0277.
Supplementary Table 1
ICD-9-CM codes of the diagnosis
pi-2021-0277-suppl.pdf

Notes

Availability of Data and Material

Data are available from the National Health Insurance Research Database (NHIRD) published by the Taiwan National Health Insurance (NHI) Administration. Due to legal restrictions imposed by the government of Taiwan in relation to the “Personal Information Protection Act”, data cannot be made publicly available. Requests for data can be sent as a formal proposal to the NHIRD (https://dep.mohw.gov.tw/dos/np-2497-113.html ).

Conflicts of Interest

The authors have no potential conflicts of interest to disclose.

Author Contributions

Conceptualization: all authors. Data curation: all authors. Formal analysis: Wu-Chien Chien, Chi-Hsian Chung. Funding acquisition: all authors. Investigation: all authors. Methodology: all authors. Project administration: all authors. Resources: Chung-Kan Peng, Wu-Chien Chien, Nian-Sheng Tzeng. Software: Chi-Hsian Chung. Supervision: Chung-Kan Peng, Nian-Sheng Tzeng. Validation: Nian-Sheng Tzeng. Visualization: Chi-Hsian Chung. Writing—original draft: Chun-Han Wu. Writing—review & editing: Chung-Kan Peng, Nian-Sheng Tzeng.

Funding Statement

This work was supported by the Medical Affairs Bureau, the Ministry of Defense of Taiwan (MAB-107-084 and MNDMAB- D-111-075), the TriService General Hospital Research Foundation (TSGH-C108-003, TSGHC108-027, TSGH-C108-151, TSGH-B-109-010, TSGH-B-111-018, and TSGH-D-111-121), and the Taoyuan Armed Forces General Hospital (TYAFGH-A-110-020).

Figure 1.
A: The flowchart of study sample selection. B: Kaplan-Meier for cumulative incidence of dementia among pneumonia patients aged 50 and over stratified by intensive care unit (ICU) with log-rank test.
pi-2021-0277f1.jpg
Table 1.
Characteristics of participants at the baseline
Variables With intensive care unit Without intensive care unit p*
Total 7,473 (25.00) 22,419 (75.00)
Sex 0.999
 Male 4,735 (63.36) 14,205 (63.36)
 Female 2,738 (36.64) 8,214 (36.64)
Age (yr) 69.19±8.84 69.23±9.13 0.741
Age group (yr) 0.999
 50-64 2,448 (32.76) 7,344 (32.76)
 ≥65 5,025 (67.24) 15,075 (67.24)
Marital status 0.789
 Without 3,638 (48.68) 10,954 (48.86)
 With 3,835 (51.32) 11,465 (51.14)
Education (yr) 0.385
 <12 3,842 (51.41) 11,656 (51.99)
 ≥12 3,631 (48.59) 10,763 (48.01)
Insured premium (NT$) 0.751
 <18,000 6,845 (91.60) 20,597 (91.87)
 18,000-34,999 531 (7.11) 1,542 (6.88)
 ≥35,000 97 (1.30) 280 (1.25)
Comorbidities
 Hypertension 1,095 (14.65) 4,413 (19.68) <0.001
 Diabetes mellitus 1,359 (18.19) 4,566 (20.37) <0.001
 Atrial fibrillations 197 (2.64) 529 (2.36) 0.178
 Stroke 1,558 (20.85) 2,368 (10.56) <0.001
 Cerebral atherosclerosis 61 (0.82) 184 (0.82) 0.995
 Other atherosclerosis 6 (0.08) 75 (0.33) <0.001
 Fracture of lower limbs 31 (0.41) 147 (0.66) 0.021
 Cancer 2,749 (36.79) 885 (3.95) <0.001
 Asthma 61 (0.82) 184 (0.82) 0.995
 Chronic obstructive pulmonary disease 737 (9.86) 4,183 (18.66) <0.001
 Bronchiectasis 59 (0.79) 508 (2.27) <0.001
 Idiopathic pulmonary fibrosis 0 (0.00) 0 (0.00) -
 Coronary artery disease 417 (5.58) 2,685 (11.98) <0.001
 Acute respiratory failure 1,956 (26.17) 1,871 (8.35) <0.001
 AKI without HD 41 (0.55) 96 (0.43) 0.197
 CKD without HD 352 (4.71) 230 (1.03) <0.001
 Obesity 1 (0.01) 3 (0.01) 0.999
 Liver cirrhosis 324 (4.34) 484 (2.16) <0.001
 Heart failure 339 (4.54) 1,501 (6.70) <0.001
 Ventilator dependency 962 (12.87) 792 (3.53) <0.001
 HD 3,699 (49.50) 3,705 (16.53) <0.001
 Immunocompromised 1 (0.01) 2 (0.01) 0.739
 CCI_R 0.13±0.42 0.11±0.38 <0.001
 Frequency of pneumonia visits 0.999
  1-2 2,016 (26.98) 6,048 (26.98)
  ≥3 5,457 (73.02) 16,371 (73.02)
Covariates
 Season <0.001
  Spring (Mar-May) 1,902 (25.45) 5,961 (26.59)
  Summer (Jun-Aug) 1,694 (22.67) 4,214 (18.80)
  Autumn (Sep-Nov) 1,635 (21.88) 3,909 (17.44)
  Winter (Dec-Feb) 2,242 (30.00) 8,335 (37.18)
 Location <0.001
  Northern Taiwan 2,694 (36.05) 7,704 (34.36)
  Middle Taiwan 2,046 (27.38) 6,282 (28.02)
  Southern Taiwan 2,304 (30.83) 6,541 (29.18)
  Eastern Taiwan 408 (5.46) 1,769 (7.89)
  Outlets islands 21 (0.28) 123 (0.55)
 Urbanization level <0.001
  1 (the highest) 3,195 (42.75) 6,465 (28.84)
  2 3,067 (41.04) 9,214 (41.10)
  3 310 (4.15) 1,988 (8.87)
  4 (the lowest) 901 (12.06) 4,752 (21.20)
 Level of care <0.001
  Medical center 3,296 (44.11) 4,647 (20.73)
  Regional hospital 2,464 (32.97) 7,030 (31.36)
  Local hospital 1,713 (22.92) 10,742 (47.91)

Data are presented as N (%) or mean±standard deviation.

* chi-square/Fisher exact test on category variables and t-test on continue variables.

NT$, New Taiwan Dollars; AKI, acute kidney injury; CKD, chronic kidney disease; HD, hemodialysis; CCI_R, Charlson Comorbidity Index, dementia removed

Table 2.
Factors for risk of dementia by using multivariable Cox proportional regression model
Variables Crude HR 95% CI p* Adjusted HR 95% CI p*
With ICU stay (reference: without) 3.371 3.093-3.675 <0.001 3.454 3.158-3.777 <0.001
Times of ICU stay: 1-3 (reference: without)
Times of ICU stay: ≥4 (reference: without)
Male (reference: female) 1.095 1.015-1.181 0.020 1.111 1.028-1.201 0.008
Age ≥65 years (reference: age of 50-64) 1.762 1.680-1.854 <0.001 1.863 1.768-1.968 0.012
Hypertension (reference: without) 1.847 1.776-1.924 <0.001 1.742 1.677-1.812 <0.001
Diabetes mellitus (reference: without) 1.809 1.737-1.888 <0.001 1.783 1.712-1.861 <0.001
Stroke (reference: without) 2.631 2.418-2.863 <0.001 2.164 1.982-2.363 <0.001
Cerebral atherosclerosis (reference: without) 3.729 2.442-4.402 <0.001 2.187 1.625-2.944 <0.001
Fracture of lower limbs (reference: without) 0.777 0.609-0.993 0.043 0.771 0.602-1.988 0.039
Cancer (reference: without) 1.400 1.348-1.469 <0.001 1.373 1.319-1.435 <0.001
Bronchiectasis 0.434 0.297-0.634 <0.001 0.496 0.336-0.733 <0.001
Coronary artery disease (reference: without) 1.638 1.557-1.731 <0.001 1.649 1.566-1.744 <0.001
Acute respiratory failure (reference: without) 0.570 0.511-0.637 <0.001 1.642 1.568-1.725 <0.001
AKI without HD (reference: without AKI) 1.317 1.202-1.498 <0.001 1.384 1.244-1.605 <0.001
Liver cirrhosis (reference: without) 1.481 1.365-1.632 <0.001 1.587 1.445-1.776 <0.001
Heart failure (reference: without) 1.519 1.438-1.614 <0.001 1.601 1.506-1.714 <0.001
Ventilator dependency (reference: without) 1.486 1.431-1.549 <0.001 1.531 1.464-1.607 <0.001
CCI_R 1.121 1.024-1.227 0.013 0.926 0.846-1.013 0.093
CCI_R score 1-3 (reference: without)
CCI_R score ≥4 (reference: without)
Frequency of ICU admission 1-2 (reference: without) 3.124 2.984-3.339 <0.001
Frequency of ICU admission ≥3 (reference: without) 4.650 3.375-4.121 <0.001
Frequency of pneumonia visits ≥3 (reference: 1-2 visits) 1.297 1.164-1.423 <0.001 1.124 1.065-1.279 0.011
Autumn (reference: spring) 0.859 0.773-0.955 0.005 0.859 0.772-0.955 <0.001
Urbanization level 1 (reference: level 4) 0.956 0.859-1.065 0.413 1.773 1.041-1.320 0.009
Urbanization level 2 (reference: level 4) 0.910 0.825-1.005 0.063 1.130 1.018-1.255 0.022
Urbanization level 3 (reference: level 4) 0.759 0.640-0.901 0.002 0.793 0.668-0.942 0.008
Medical center (reference: local hospital) 1.490 1.354-1.640 <0.001 1.514 1.241-1.797 <0.001
Regional hospital (reference: local hospital) 1.007 0.916-1.106 0.191 1.121 1.059-1.788 <0.001

* chi-square/Fisher exact test on category variables and t-test on continue variables. ICU, intensive care unit; HR, hazard ratio; CI, confidence interval; NT$, New Taiwan Dollars; AKI, acute kidney injury; HD, hemodialysis; CCI_R, Charlson Comorbidity Index, dementia removed

Table 3.
Factors of dementia in different models by using the multivariate Cox regression analysis
Model ICU
Adjusted HR 95% CI p
ICU subgroup Populations Events PYs Rate (per 105 PYs)
Model 1 Without 22,419 2,065 251,631.95 8,909.44 Reference
With/without With 7,473 739 75,296.39 9,924.78 3.454 3.158-3.777 <0.001
Model 2 Without, 0 times 22,419 2,065 251,631.95 8,909.44 Reference
Frequency 1-2 4,011 509 41,670.98 9,625.40 3.124 2.984-3.339 <0.001
≥3 3,462 230 33,625.41 10,295.79 4.650 3.375-4.121 <0.001

Adjusted for the variables listed in Table 1. Model 1: the patients with ICU stay or not; Model 2: the times of ICU stay for the patients. ICU, intensive care unit; PYs, person-years; adjusted HR, adjusted hazard ratio; CI, confidence interval

Table 4.
Subgroup analysis for the risk of dementia
Stratified With ICU
Without ICU
With vs. without (reference)
Events Rate (per 105 PYs) Events Rate (per 105 PYs) Adjusted HR 95% CI p
Total 739 981.45 2,065 820.64 3.454 3.158-3.777 <0.001
Sex
Male 450 1,023.73 1,266 855.52 3.456 3.160-3.779 <0.001
Female 289 922.15 799 770.85 3.455 3.159-3.778 <0.001
Age group (yr)
50-64 160 1,264.27 287 1,302.78 2.803 2.563-3.065 <0.001
≥65 579 924.32 1,778 774.38 3.447 3.152-3.770 <0.001
Marital status
Without 364 929.17 967 769.53 3.487 3.188-3.813 <0.001
With 375 1,038.15 1,098 871.63 3.440 3.145-3.762 <0.001
Education (yr)
<12 411 1,157.79 1,085 860.98 3.884 3.551-4.247 <0.001
≥12 328 824.17 980 780.17 3.051 2.789-3.336 <0.001
Insured premium (NT$)
<18,000 735 985.51 2,046 826.56 3.443 3.148-3.765 <0.001
18,000-34,999 4 577.20 18 466.61 3.573 3.266-3.907 <0.001
≥35,000 0 0.00 1 412.91 0.000 - 0.896
Comorbidity
Hypertension
 Without 606 992.78 1,527 843.28 3.400 3.109-3.718 <0.001
 With 133 932.97 538 762.54 3.534 3.231-3.864 <0.001
Diabetes mellitus
 Without 598 1,011.83 1,657 858.82 3.403 3.111-3.721 <0.001
 With 141 870.61 408 695.14 3.617 3.307-3.955 <0.001
Atrial fibrillation
 Without 720 979.86 1,992 827.99 3.418 3.125-3.737 <0.001
 With 19 1,046.07 73 660.70 4.573 4.181-5.000 <0.001
Stroke
 Without 462 715.84 1,516 679.59 3.042 2.781-3.327 <0.001
 With 277 2,575.10 549 1,922.57 3.868 3.537-4.230 <0.001
Cerebral atherosclerosis
 Without 721 962.08 2,028 809.94 3.431 3.137-3.751 <0.001
 With 18 5,072.90 37 2,975.43 4.924 4.502-5.384 <0.001
Other atherosclerosis
 Without 738 981.28 2,061 820.51 3.454 3.158-3.777 <0.001
 With 1 1,126.68 4 895.70 3.633 3.322-3.973 <0.001
Fracture of lower limbs
 Without 735 990.75 2,003 822.61 3.478 3.180-3.804 <0.001
 With 4 360.30 62 761.87 1.366 1.249-1.494 <0.001
Cancer
 Without 623 1,051.12 1,997 921.60 3.294 3.012-3.602 <0.001
 With 116 723.82 68 194.59 10.742 9.822-11.747 <0.001
Asthma
 Without 731 1,233.33 2,028 935.91 3.806 3.480-4.162 <0.001
 With 8 49.92 37 105.88 1.362 1.245-1.489 <0.001
Chronic obstructive pulmonary disease
 Without 653 997.36 1,699 836.71 3.443 3.148-3.765 <0.001
 With 86 875.43 366 753.49 3.355 3.068-3.669 <0.001
Bronchiectasis
 Without 736 987.12 2,041 830.31 3.433 3.139-3.755 <0.001
 With 3 407.43 24 412.30 2.854 2.609-3.121 <0.001
Idiopathic pulmonary fibrosis
 Without 739 981.45 2,065 820.64 3.454 3.158-3.777 <0.001
 With 0 - 0 - - - -
Coronary artery disease
 Without 684 1,007.21 1,893 858.50 3.388 3.098-3.705 <0.001
 With 55 744.67 172 552.52 3.892 3.559-4.256 <0.001
Acute respiratory failure
 Without 544 1,015.28 1,891 941.67 3.114 2.847-3.405 <0.001
 With 195 897.99 174 342.39 7.574 6.925-8.283 <0.001
AKI without HD
 Without 732 986.70 2,053 833.80 3.418 3.125-3.737 <0.001
 With 7 630.62 12 221.81 8.211 7.507-8.979 <0.001
CKD without HD
 Without 683 969.24 2,036 823.29 3.400 3.109-3.718 <0.001
 With 56 1,159.69 29 669.62 5.002 4.573-5.469 <0.001
Obesity
 Without 739 981.48 2,064 820.49 3.455 3.159-3.778 <0.001
 With 0 0.00 1 1,329.35 0.000 - 0.972
Cirrhosis of the liver
 Without 713 997.19 2,039 840.84 3.425 3.132-3.745 <0.001
 With 26 685.08 26 284.57 6.953 6.357-7.603 <0.001
Heart failure
 Without 299 430.34 1,963 861.52 1.443 1.319-1.578 <0.001
 With 440 7,563.93 102 428.97 50.924 46.560-55.686 <0.001
Respirator dependency
 Without 591 1,058.34 1,917 950.05 3.217 2.942-3.518 <0.001
 With 148 760.75 148 296.87 7.401 6.767-8.093 <0.001
HD
 Without 467 1,018.74 1,709 910.62 3.231 2.954-3.533 <0.001
 With 272 923.43 356 556.61 4.791 4.381-5.239 <0.001
Immunocompromised
 Without 739 981.68 2,065 820.83 3.454 3.158-3.777 <0.001
 With 0 0.00 0 0.00 - - -
Frequency of pneumonia visits
 1-2 331 941.10 859 908.67 2.991 2.735-3.271 <0.001
 ≥3 408 1,016.83 1,206 767.67 3.825 3.498-4.183 <0.001
Covariates
Season
 Spring 179 952.78 521 856.36 3.213 2.938-3.514 <0.001
 Summer 195 1,037.94 493 833.08 3.598 3.290-3.935 <0.001
 Autumn 168 832.65 517 763.21 3.151 2.881-3.445 <0.001
 Winter 197 1,122.78 534 836.01 3.879 3.546-4.241 <0.001
Urbanization level
 1 (the highest) 297 1,120.88 506 749.14 4.321 3.951-4.725 <0.001
 2 291 957.28 969 827.87 3.339 3.053-3.652 <0.001
 3 33 630.60 135 716.60 2.541 2.324-2.779 <0.001
 4 (the lowest) 118 896.13 455 943.95 2.742 2.507-2.998 <0.001
Level of care
 Hospital center 251 1,031.09 474 650.34 4.579 4.187-5.007 <0.001
 Regional hospital 272 904.66 812 728.68 3.586 3.278-3.921 <0.001
 Local hospital 216 1,034.15 779 1,157.28 2.581 2.360-2.822 <0.001

Adjusted for the variables listed in Table 1. ICU, intensive care unit; PYs, person-years; adjusted HR, adjusted Hazard ratio; CI, confidence interval; NT$, New Taiwan Dollars; AKI, acute kidney injury, CKD, chronic kidney disease; HD, hemodialysis; CCI_R, Charlson Comorbidity Index, dementia removed

Table 5.
Factors of dementia subgroup and sensitivity analysis by using Cox regression
Sensitivity test Dementia subgroup (ICU) With vs. without (reference)
Adjusted HR 95% CI p
Overall Overall dementia 3.454 3.158-3.777 <0.001
AD 5.209 4.762-5.696 <0.001
VaD 2.913 2.663-3.185 <0.001
Other degenerative dementia 3.381 3.091-3.697 <0.001
Dementia within the first 2 years after ICU excluded Overall dementia 3.258 2.979-3.563 <0.001
AD 7.222 6.603-7.897 <0.001
VaD 3.503 3.203-3.830 <0.001
Other degenerative dementia 2.940 2.688-3.215 <0.001

Adjusted for the variables listed in Table 1. PYs, person-years; adjusted HR, adjusted hazard ratio; AD, Alzheimer dementia; VaD, vascular dementia; ICU, intensive care unit; CI, confidence interval

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