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Zhang Q, Yu S, Tang L, Li W, Yao S, Chai J, Li A, Jia Y, Huang R, Cheng H. Heart rate variability and insomnia in depressed patients with breast cancer. BMJ Support Palliat Care 2024; 15:96-103. [PMID: 39461884 DOI: 10.1136/spcare-2023-004672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 09/08/2024] [Indexed: 10/29/2024]
Abstract
OBJECTIVES Depression is associated with unhealthy autonomic regulation. However, whether patients with breast cancer (BC) with different degrees of depression can be identified from linear and non-linear dynamics in the autonomic nervous system is unclear. We aimed to evaluate the differences in linear and non-linear heart rate variability (HRV) parameters in patients with BC with different degrees of depression and the relationship between HRV parameters and depression and sleep disorders. METHODS A total of 115 patients with BC were enrolled. According to their Self-Rating Depression Scale (SDS) scores, the patients were divided into a non-depressed group, a mildly depressed group and a moderately to severely depressed group. The Pittsburgh Sleep Quality Index (PSQI), HRV, linear index (including time and frequency domains) and non-linear index (including Poincare plot, approximate entropy (ApEn) and short-term fluctuation slope (DFAα1)) were evaluated. RESULTS Compared with patients without depssion, patients with mild depression and moderate-to-severe depression had significant differences in the time domain, frequency domain index, the SD perpendicular to the line-of-identity (SD1) and DFAα1 of non-linear HRV and sleep quality. SDS and PSQI scores were correlated with HRV parameters. CONCLUSIONS The severity of depression in patients with BC is associated with reduced variability, complexity of cardiac dynamics and sleep disturbance.
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Affiliation(s)
- Qianqian Zhang
- Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Sheng Yu
- Department of Oncology, the Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Lingxue Tang
- Department of Oncology, the Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Wen Li
- Department of Oncology, the Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Senbang Yao
- Department of Oncology, the Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jiaying Chai
- Department of Oncology, the Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Anlong Li
- Department of Oncology, the Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yingxue Jia
- Department of Oncology, the Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Runze Huang
- Department of Oncology, the Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Huaidong Cheng
- Department of Oncology, the Second Affiliated Hospital of Anhui Medical University, Hefei, China
- Southern Medical University, Guangzhou, China
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Su X, Li Y, Liu H, An S, Yao N, Li C, Shang M, Ma L, Yang J, Li J, Zhang M, Dun W, Huang ZG. Brain Network Dynamics in Women With Primary Dysmenorrhea During the Pain-Free Periovulation Phase. THE JOURNAL OF PAIN 2024; 25:104618. [PMID: 38945381 DOI: 10.1016/j.jpain.2024.104618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 06/07/2024] [Accepted: 06/22/2024] [Indexed: 07/02/2024]
Abstract
The human brain is a dynamic system that shows frequency-specific features. Neuroimaging studies have shown that both healthy individuals and those with chronic pain disorders experience pain influenced by various processes that fluctuate over time. Primary dysmenorrhea (PDM) is a chronic visceral pain that disrupts the coordinated activity of brain's functional network. However, it remains unclear whether the dynamic interactions across the whole-brain network over time and their associations with neurobehavioral symptoms are dependent on the frequency bands in patients with PDM during the pain-free periovulation phase. In this study, we used an energy landscape analysis to examine the interactions over time across the large-scale network in a sample of 59 patients with PDM and 57 healthy controls (HCs) at different frequency bands. Compared with HCs, patients with PDM exhibit aberrant brain dynamics, with more significant differences in the slow-4 frequency band. Patients with PDM show more indirect neural transition counts due to an unstable intermediate state, whereas neurotypical brain activity frequently transitions between 2 major states. This data-driven approach further revealed that the brains of individuals with PDM have more abnormal brain dynamics than HCs. Our results suggested that unstable brain dynamics were associated with the strength of brain functional segregation and the Pain Catastrophizing Scale score. Our findings provide preliminary evidence that atypical dynamics in the functional network may serve as a potential key feature and biological marker of patients with PDM during the pain-free phase. PERSPECTIVE: We applied energy landscape analysis on brain-imaging data to identify relatively stable and dominant brain activity patterns for patients with PDM. More atypical brain dynamics were found in the slow-4 band and were related to the strength of functional segregation, providing new insights into the dysfunction brain dynamics.
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Affiliation(s)
- Xing Su
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China; Research Center for Brain-Inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Youjun Li
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China; Research Center for Brain-Inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Huiping Liu
- School of Future Technology, Xi'an Jiaotong University, Xi'an, China; Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Simeng An
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China; Research Center for Brain-Inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Nan Yao
- Research Center for Brain-Inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China; Department of Applied Physics, Xi'an University of Technology, Xi'an, China
| | - Chenxi Li
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, Shaanxi, China
| | - Meiling Shang
- School of Future Technology, Xi'an Jiaotong University, Xi'an, China; Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Ling Ma
- Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jing Yang
- Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jianlong Li
- Department of Urology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, Shaanxi, PR China
| | - Ming Zhang
- Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Wanghuan Dun
- Rehabilitation Medicine Department, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Zi-Gang Huang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China; Research Center for Brain-Inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
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Yuan Y, Zhong X, Zhan Q, Yin T, Ku C, Liu Y, Yao Z, Wang F, Ding Y, Deng L, Ke Q, Xie L. Association between cytokines and symptoms of depression and anxiety in patients with type 1 narcolepsy. J Clin Neurosci 2024; 126:364-370. [PMID: 39068820 DOI: 10.1016/j.jocn.2024.07.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 06/28/2024] [Accepted: 07/15/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND Symptoms of depression and anxiety are common complications of narcolepsy. Earlier studies have shown that narcolepsy type 1 (NT1) is an autoimmune inflammatory disease and symptoms of depression and anxiety are closely related to fluctuations in inflammatory cytokines. The objective of the current research was to investigate the potential correlation between cytokines and symptoms of depression and anxiety in patients with NT1. METHODS We collected demographic and clinical data and information on cytokine levels from 50 patients with NT1 and used Self-Rating Depression Scale (SDS) and Self-Rating Anxiety Scale (SAS) to assess the severity of depression and anxiety symptoms. Patients with SDS scores ≥ 53 points were defined as depressive narcolepsy type 1 (D-NT1) and those with SDS scores < 53 points as non-depressive narcolepsy type 1 (ND-NT1). Patients with SAS scores ≥ 50 points were defined as anxious narcolepsy type 1 (A-NT1) and those with SAS scores < 50 points as non-anxious narcolepsy type 1 (NA-NT1). A binary logistic regression model was employed to identify the influencing factors of depressive and anxiety symptoms. RESULTS Levels of IL-10 (p = 0.02), IL-4 (p = 0.049) and disease duration (p = 0.049) were decreased, while SAS scores (p < 0.001) and total sleep duration (p = 0.03) were increased in D-NT1 relative to ND-NT1 patients. A-NT1 patients had higher SDS scores (p < 0.001) compared to NA-NT1 patients. Binary logistic regression analysis revealed associations of longer disease duration (OR=0.83; 95 % CI: 0.70-0.97) and increased IL-10 (OR=0.40; 95 % CI: 0.17-0.90) with reduced risk of depression and worsening anxiety (SAS score; OR=1.17; 95 % CI: 1.06-1.30) with increased risk of depression in patients with NT1. Consistently, worsening depression (SDS score; OR=1.22; 95 % CI: 1.07-1.39) was correlated with increased risk of anxiety in the NT1 group. CONCLUSION Our finding that higher IL-10 levels correlate with a lower risk of depression in NT1 patients provides a reference for further exploration of the pathophysiological mechanisms of depressive symptoms in NT1 patients.
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Affiliation(s)
- Yuqing Yuan
- Department of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, China; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang, China
| | - Xianhui Zhong
- Department of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, China; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang, China
| | - Qingqing Zhan
- Department of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, China; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang, China
| | - Tiantian Yin
- Department of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, China; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang, China
| | - Chengxin Ku
- Department of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, China; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang, China
| | - Yuxin Liu
- Department of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, China; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang, China
| | - Ziyi Yao
- Department of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, China; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang, China
| | - Fen Wang
- Department of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, China; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang, China; Jiangxi Health Commission Key Laboratory of Neurological Medicine, Nanchang, China; Institute of Neuroscience, Nanchang University, Nanchang, China
| | - Yongmin Ding
- Department of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, China; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang, China; Jiangxi Health Commission Key Laboratory of Neurological Medicine, Nanchang, China; Institute of Neuroscience, Nanchang University, Nanchang, China
| | - Liying Deng
- Department of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, China; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang, China; Jiangxi Health Commission Key Laboratory of Neurological Medicine, Nanchang, China; Institute of Neuroscience, Nanchang University, Nanchang, China
| | - Qing Ke
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, China
| | - Liang Xie
- Department of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, China; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang, China; Jiangxi Health Commission Key Laboratory of Neurological Medicine, Nanchang, China; Institute of Neuroscience, Nanchang University, Nanchang, China.
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Su X, Ma S, Yang X, Zhang C, Chen W. Health Literacy Needs of Acute Pancreatitis Patients During the Diagnosis and Treatment Process Under the Lens of the Timing It Right Theory: A Qualitative Study. Patient Prefer Adherence 2024; 18:507-517. [PMID: 38433996 PMCID: PMC10906671 DOI: 10.2147/ppa.s444955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 02/13/2024] [Indexed: 03/05/2024] Open
Abstract
Background The incidence and recurrence rate of acute pancreatitis (AP) continues to increase worldwide. The risk of AP attack and recurrence is closely related to the patient's health literacy. Previous studies have shown that AP patients had low levels of health literacy. Understanding patients' experience in AP's diagnosis and treatment process and their health literacy needs might significantly improve their health status. Objective This study aims to understand the experience of acute pancreatitis (AP) patients in the diagnostic and treatment process and explore their health literacy needs at various phases of this process. Methods This study utilized a qualitative approach based on Timing It Right theory. A purposive sampling strategy was employed to select 31 participants diagnosed with AP at various phases of the diagnosis and treatment process. These patients were selected from the Pancreatitis Treatment Centers of two tertiary hospitals in Eastern China. Subsequently, semi-structured in-depth interviews were conducted with the selected participants. The qualitative data was analyzed using the Colaizzi's method. Results The themes of AP patients' experiences and health literacy needs at various phases of the diagnosis and treatment process were presented as follows. 1. Diagnosis phase: inability to obtain disease information, psychological support seeking, and change unhealthy lifestyle; 2. Hospitalization phase: disease treatment information needs and medical professionals' healthcare. 3. Discharge Preparation phase: fear of recurrence, individualized healthy lifestyle instruction. 4. Home Recovery phase: self-management, continuous healthcare needs, and family support. Conclusion AP patients' HL needs and health-related problems vary during the diagnosis and treatment process. Medical professionals should comprehend AP patients' changing needs and individual differences, provide continuous healthcare, and involve families in patient management. These factors support patients' long-term self-management and preserve their overall health.
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Affiliation(s)
- Xia Su
- Hepatobiliary and Pancreatic Center, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, People’s Republic of China
- School of Nursing & Public Health, Yangzhou University, Yangzhou, Jiangsu, People’s Republic of China
| | - Shuli Ma
- Department of Gastroenterology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, People’s Republic of China
| | - Xiaoxi Yang
- School of Health and Wellness, Panzhihua University, Panzhihua, Sichuan, People’s Republic of China
| | - Can Zhang
- Hepatobiliary and Pancreatic Center, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, People’s Republic of China
| | - Weiwei Chen
- Medical College of Yangzhou University, Yangzhou, Jiangsu, People’s Republic of China
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Lei C, Gong R, Zhang J, Sunzi K, Xu N, Shi Q. Pain experience of lung cancer patients during home recovery after surgery: A qualitative descriptive study. Cancer Med 2023; 12:20212-20223. [PMID: 37787038 PMCID: PMC10587973 DOI: 10.1002/cam4.6616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 09/05/2023] [Accepted: 09/22/2023] [Indexed: 10/04/2023] Open
Abstract
BACKGROUND Patients with lung cancer surgery often suffer pain after discharge. However, there is limited evidence to describe the pain experience from the qualitative investigation. This study was designed to describe the pain experience of lung cancer patients during home recovery after surgery and to provide evidence for developing pain management strategies. METHODS This qualitative descriptive study recruited 35 patients who had received lung resection and were discharged by purposive sampling from May to July 2022. Mobile phone interviews were conducted to collect views on patients' pain experience after discharge. The interviews were audio-recorded and converted verbatim into standard text, and the data were iteratively thematic analyzed. RESULTS A thematic framework was identified for three themes: perception and impact of pain, coping styles for pain, and unmet needs for pain. Whether short or long-term after discharge, patients complain that they suffer from different degrees and types of pain, causing them a "double burden" physically and mentally. The lack of knowledge about pain may lead them to adopt very different coping styles and desire professional continuous pain management. CONCLUSIONS This study may help clarify the status of pain problems that patients face after lung cancer surgery and provides multiple dimensions of pain assessment and management objectives for quantitative research. We call on medical staff to pay attention to patients' perspectives and related needs after discharge and formulate targeted management strategies to reduce pain and improve their quality of life.
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Affiliation(s)
- Cheng Lei
- School of Public HealthChongqing Medical UniversityChongqingChina
| | - Ruoyan Gong
- School of Public HealthChongqing Medical UniversityChongqingChina
| | - Jiayuan Zhang
- School of Public HealthChongqing Medical UniversityChongqingChina
| | - Kejimu Sunzi
- Nursing DepartmentPeople's Hospital of Deyang CitySichuanChina
| | - Na Xu
- Department of Thoracic SurgerySichuan Cancer Hospital & InstituteSichuanChina
| | - Qiuling Shi
- School of Public HealthChongqing Medical UniversityChongqingChina
- State Key Laboratory of Ultrasound in Medicine and EngineeringChongqing Medical UniversityChongqingChina
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Thavamani A, Sterling N, Umapathi KK, Sankararaman S. Prevalence and impact of psychiatric disorders on hospitalized pediatric patients with chronic pancreatitis. Pancreatology 2023; 23:574-581. [PMID: 37391358 DOI: 10.1016/j.pan.2023.06.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 06/03/2023] [Accepted: 06/21/2023] [Indexed: 07/02/2023]
Abstract
BACKGROUND Patients with chronic pancreatitis (CP) often have a debilitating clinical course characterized by high disease burden, and poor quality of life and these factors adversely affect mental health. However, there is paucity of literature on the prevalence and impact of psychiatric disorders on hospitalized pediatric patients with CP. METHOD ology: We analyzed the Kids Inpatient Database, and National Inpatient Sample, between 2003 and 2019 and included patients up to 21 years of age. Pediatric CP patients with psychiatric disorders were compared with patients without any of the psychiatric disorders using the ICD diagnostic codes. Various demographic and clinical factors were compared between the groups. Length of hospitalization and total hospital charges were used as surrogates to compare the hospital resource utilization between the groups. RESULTS We analyzed a total of 9,808 hospitalizations with CP and the overall prevalence rate of psychiatric disorders was 19.8%. The prevalence rate increased from 19.1% in 2003 to 23.4% in 2019, p = 0.006. The peak prevalence rate of 37.2% was noted at 20 years of age. Depression was noted at 7.6% of the total hospitalizations followed by substance abuse (6.5%), and anxiety (4.4%). Multivariate linear regression analysis showed that among CP patients, psychiatric disorders were independently associated with 1.3 additional days of stay and incurred $15,965 higher charges. CONCLUSIONS The prevalence of psychiatric disorders is increasing in pediatric CP. The concomitant presence of psychiatric disorders was found to be associated with prolonged hospital stay and incurred higher healthcare charges than those CP patients without psychiatric disorders.
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Affiliation(s)
- Aravind Thavamani
- Department of Pediatrics (Division of Pediatric Gastroenterology), UH Rainbow Babies & Children's Hospital, Case Western Reserve University School of Medicine, Cleveland, OH, 44106, USA.
| | - Neya Sterling
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, 77030, USA.
| | | | - Senthilkumar Sankararaman
- Department of Pediatrics (Division of Pediatric Gastroenterology), UH Rainbow Babies & Children's Hospital, Case Western Reserve University School of Medicine, Cleveland, OH, 44106, USA.
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Cai QY, Tan K, Zhang XL, Han X, Pan JP, Huang ZY, Tang CW, Li J. Incidence, prevalence, and comorbidities of chronic pancreatitis: A 7-year population-based study. World J Gastroenterol 2023; 29:4671-4684. [PMID: 37662860 PMCID: PMC10472896 DOI: 10.3748/wjg.v29.i30.4671] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 05/20/2023] [Accepted: 07/11/2023] [Indexed: 08/10/2023] Open
Abstract
BACKGROUND Chronic pancreatitis (CP) is a fibroinflammatory syndrome leading to reduced quality of life and shortened life expectancy. Population-based estimates of the incidence, prevalence, and comorbidities of CP in China are scarce. AIM To characterize the incidence, prevalence, and comorbidities of CP in Sichuan Province, China, with population-based data. METHODS Data on CP from 2015 to 2021 were obtained from the Health Information Center of Sichuan Province. During the study period, a total of 38090 individuals were diagnosed with CP in Sichuan Province. The yearly incidence rate and point prevalence rate (December 31, 2021) of CP were calculated. The prevalence of comorbid conditions in CP patients was estimated. The annual number of CP-related hospitalizations, hospital length of stay, and hospitalization costs for CP were evaluated. Yearly incidence rates were standardized for age by the direct method using the permanent population of Sichuan Province in the 2020 census as the standard population. An analysis of variance test for the linearity of scaled variables and the Cochran-Armitage trend test for categorical data were performed to investigate the yearly trends, and a two-sided test with P < 0.05 was considered statistically significant. RESULTS The 38090 CP patients comprised 23280 males and 14810 females. The mean age of patients at CP diagnosis was 57.83 years, with male patients (55.87 years) being younger than female patients (60.11 years) (P < 0.001). The mean incidence rate of CP during the study period was 6.81 per 100000 person-years, and the incidence of CP increased each year, from 4.03 per 100000 person-years in 2015 to 8.27 per 100000 person-years in 2021 (P < 0.001). The point prevalence rate of CP in 2021 was 45.52 per 100000 individuals for the total population, with rates of 55.04 per 100000 individuals for men and 35.78 per 100000 individuals for women (P < 0.001). Individuals aged 65 years or older had the highest prevalence of CP (113.38 per 100000 individuals) (P < 0.001). Diabetes (26.32%) was the most common comorbidity in CP patients. The number of CP-related hospitalizations increased from 3739 in 2015 to 11009 in 2021. The total costs for CP-related hospitalizations for CP patients over the study period were 667.96 million yuan, with an average of 17538 yuan per patient. CONCLUSION The yearly incidence of CP is increasing, and the overall CP hospitalization cost has increased by 1.4 times during the last 7 years, indicating that CP remains a heavy health burden.
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Affiliation(s)
- Qiu-Yu Cai
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Kun Tan
- Sichuan Health Information Association, Chengdu 610041, Sichuan Province, China
| | - Xue-Li Zhang
- Sichuan Health Information Association, Chengdu 610041, Sichuan Province, China
| | - Xu Han
- Sichuan Health Information Association, Chengdu 610041, Sichuan Province, China
| | - Jing-Ping Pan
- Sichuan Health Information Association, Chengdu 610041, Sichuan Province, China
| | - Zhi-Yin Huang
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Cheng-Wei Tang
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Jing Li
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
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