Effects of combined auricular pressure bean and group guidance on sleep disorders in patients undergoing maintenance hemodialysis.

Poor sleep quality is associated with metabolic dysregulation and impaired healing. The purpose of the current study was to quantify the prevalence of poor sleep in patients with atraumatic foot and ankle (F&A) conditions and determine whether surgical treatment is associated with sleep quality improvement. Patients scheduled for surgical management of atraumatic F&A conditions were enrolled by 4 fellowship-trained orthopaedic F&A surgeons between May 2018 and April 2019. Patients completed the Pittsburgh Sleep Quality Index (PSQI) pre- and postoperatively. The PSQI ranges from 0 to 21, with a score ≥5 indicative of poor sleep quality. Patients also reported their perception of how their current F&A pain influenced their sleep quality on a scale of 0 to 10, where 0 indicated no influence and 10 indicated a strong influence (pain perception score [PPS]). Patients with known sleep disorders, acute surgical trauma, and infection were excluded. A total of 115 patients were enrolled. The mean preoperative PSQI and PPS were 8.1 ± 3.6 (range, 2-19) and 3.1 ± 2.7 (range, 0-10), respectively. Overall, 86.1% of patients had poor sleep quality (PSQI score ≥5). Similarly, 64.3% of patients had a PPS ≥1, indicating the belief that F&A pain contributed to sleep disturbance. A minimum of 6 months of follow-up was collected for 72 (62.6%) patients. On average, these 72 patients experienced significant improvements in sleep quality (mean PSQI decreased from 7.8 ± 3.2 to 5.4 ± 3.1, P < .001). Of these patients, 59.7% continued to experience poor sleep quality (PSQI ≥5), and 55.6% perceived that F&A pain contributed to sleep disturbance (PPS ≥1). In this series, 86.1% of patients presenting for management of atraumatic F&A conditions had poor sleep quality at the time of their initial visit, with 64.3% perceiving their F&A conditions to influence their sleep quality. Improvements in sleep quality were observed at 6 months postoperatively, though over half of patients continued to experience poor sleep quality. The location of pathology and procedure performed was not associated with sleep quality. Level IV: Prospective case series.

Thyroid cancer survivors are prone to sleep disorders. This study aims to compare the differences of sleep quality between patients with differentiated thyroid cancer (DTC) and healthy controls, as well as to investigate the risk factors for sleep disorders in DTC survivors. A case-control study was conducted. The Pittsburgh Sleep Quality Index (PSQI) was utilized to assess sleep quality, the Self-rating Anxiety Scale (SAS) to evaluate anxiety, and the Self-rating Depression Scale (SDS) to measure depression. Chi-square tests and Mann-Whitney tests were employed to identify differences between DTC patients and healthy controls. Univariate and multivariate logistic regression analyses were conducted to explore the independent risk factors for sleep disorders in DTC patients. A total of 318 DTC patients and 72 healthy controls were included. Sleep disorders were prevalent, affecting 50.3% of DTC patients compared to 34.7% of healthy controls, with a significant difference noted (P = 0.017). Notable disparities were observed in sleep disturbances (P = 0.031) and daytime dysfunction (P = 0.019). Furthermore, employment status (P = 0.026), anxiety (P < 0.001), and depression (P = 0.001) were identified as independent predictors of sleep disorders in DTC patients. DTC patients are susceptible to sleep disorders, the prevalence was as high as 50.3%. Clinicians should be vigilant in identifying DTC patients who are unemployed or experiencing anxiety or depression, as these factors significantly influence sleep quality. Clinicians should offer these patients appropriate support and interventions, such as disease information support and multidisciplinary consultations, to enhance their overall well-being and quality of life.

Objective: To investigate the clinical characteristics and correlated factors of preoperative sleep disorders in patients undergoing various types of cardiac surgery. Methods: The data of patients at the Structural Heart Surgery Center of Beijing Anzhen Hospital, Capital Medical University, from April 2023 to February 2024 were retrospectively collected. Patients were categorized into five groups based on cardiac surgical diagnosis: coronary heart disease, valvular disease, large vessel disease, congenital heart disease, and others. Each group was further subdivided into normal sleep (NS) and sleep disorder (SD) groups based on the Pittsburgh Sleep Quality Index (PSQI) scores. Demographic information, cognitive function, psychiatric symptoms, and other relevant data were collected. Clinical characteristics were compared between groups, and factors associated with preoperative sleep disorders were analyzed using multivariate logistic regression. Results: A total of 1 016 patients aged (58.6±12.7) years were included in the study, including 701 males and 315 females. The incidence of SD was 45.6% (463/1 016). Multivariate logistic regression analysis showed that aging was a risk factor for sleep disorders in patients with coronary heart disease (OR=1.050, 95%CI: 1.026-1.077) and valvular disease (OR=1.033, 95%CI: 1.013-1.053). High Self-rating Depression Scale (SDS) score was a risk factor for sleep disorders in patients with valvular disease (OR=1.050, 95%CI: 1.013-1.091). High score on the Montreal Cognitive Assessment (MoCA) subitem-abstraction ability was a protective factor for sleep disorders in patients with coronary heart disease (OR=0.695, 95%CI: 0.490-0.981). Conclusions: The risk factors of preoperative sleep disorders in cardiac surgery patients vary based on the type of cardiac disease. Aging, depression and abstraction ability correlate with sleep disorders in cardiac surgical patients.

Studies have shown that sleep disorders are closely related to anxiety and depression, and the quality of life (QoL) of patients with sleep disorders is generally poor. To examine the occurrence of sleep disorders in people with coronary heart disease (CHD) and their relationships with QoL, depression, and anxiety. As per the sleep condition, 240 CHD individuals were separated into two groups: non-sleep disorder group (n = 128) and sleep disorder group (n = 112). The self-rating anxiety scale (SAS), self-rating depression scale (SDS), and World Health Organization criteria for the Quality of Life Brief scale (WHOQOL-BREF) scores of the two groups were compared. Logistic regression method was used to analyze the independent risk factors of CHD patients with sleep disorders. Multivariate logistic regression analysis was employed to develop the risk prediction model. The association among the Pittsburgh Sleep Quality Index, SAS, and SDS was examined using Spearman's correlation analysis. The incidence of sleep disorder was 46.67% in 240 patients. The scores of SAS and SDS in the sleep disorder group were higher than those in the non-sleep disorder group, and the WHOQOL-BREF scores were lower than those in the non-sleep disorder group (P < 0.05). The risk prediction model of sleep disturbances in CHD patients was constructed using the outcomes of multivariate logistic regression analysis, P = 1/[1 + e (-2.160 + 0.989 × (female) + 0.001 × (new rural cooperative medical insurance) + 2.219 × (anxiety) + 2.157 × depression)]. The results of a Spearman's correlation study revealed that sleep quality was strongly adversely connected with the physiological field, psychological field, and social relation scores in QoL, and was considerably positively correlated with SAS and SDS (P < 0.05). A multivariate logistic regression model can better predict the occurrence of sleep disorders in CHD patients. Sleep disorders in CHD patients are significantly correlated with QoL, depression, and anxiety.

PurposeThis study aimed to explore the effects of evidence-based nursing (EBN) intervention on anxiety, depression, sleep quality and somatic symptoms of patients with acute ischemic stroke (AIS).MethodsThe eligible AIS patients were randomized into the intervention group and control group in a 1:1 ratio. Patients in both groups received routine nursing care. On the basis of routine nursing, patients in the intervention group also received EBN. Self-rating anxiety scale (SAS), self-rating depression scale (SDS), Pittsburgh Sleep Quality Index (PSQI), and the Patient Health Questionnaire-15 (PHQ-15) were used to assess patients’ anxiety, depression, sleep quality, and somatic symptoms at baseline (T0) and 6 months after intervention (T1), respectively.ResultsThere was no difference in SAS, SDS, PSQI, and PHQ-15 scores at T0 between the 2 groups (all P > 0.05). Comparing to the control group, the intervention group had significantly lower SAS and SDS scores at T1 (P = 0.002, P < 0.001, respectively). The SAS and SDS score changes (T1-T0) were more evident in the intervention group than in the control group (all P < 0.001). No difference of PSQI or PHQ-15 score between the 2 groups was observed at T1. However, the PSQI and PHQ-15 score changes were more evident in the intervention group than in the control group (P = 0.044 and P = 0.007, respectively).ConclusionEBN invention significantly improved anxiety, depression, sleep quality and somatic symptoms of patients with AIS.

Sleep disturbance and chronic fatigue are common in rheumatoid arthritis (RA) and contribute to disability, symptomatology, and healthcare use. It has long been recognized in other populations that exercise can improve sleep and diminish fatigue. The effect of exercise on sleep quality and fatigue in RA has not been evaluated. Ours is a randomized controlled study in RA to determine the effect of an exercise program on sleep quality and fatigue. These were measured using the Pittsburgh Sleep Quality Index and the Fatigue Severity Scale. Patients were randomized to either a 12-week, home-based exercise intervention or usual care. The exercise program consisted of specific exercises to target individual deficiencies identified using the Health Assessment Questionnaire (HAQ) with cardiovascular work as per the guidelines. The intervention group was evaluated on a 3-week basis. Full evaluation was carried out at baseline and at 12 weeks. Forty patients were randomized to the intervention with 38 controls. In the exercise intervention group, there was a statistically significant improvement in HAQ (p = 0.00), pain (p = 0.05), stiffness (p = 0.05), sleep quality (p = 0.04), and fatigue (p = 0.04). In our control group, there was a statistically significant improvement demonstrated in their overall perceptions of the benefits of exercise, but none of the other variables. Our study demonstrates that an exercise program resulted in significant improvement in sleep quality and fatigue. This is particularly interesting given the importance of fatigue as an outcome measure in RA and gives us yet another reason to prescribe exercise in this population.

To evaluate the effects of combined psychological intervention and early enteral nutrition support on postoperative pain management, sleep quality, psychological well-being, and quality of life in colorectal cancer patients. A total of 320 colorectal cancer patients undergoing surgery were randomized into intervention (n = 160) and control (n = 160) groups. The intervention group received standard care plus psychological intervention and early enteral nutrition support, while the control group received standard care only. Outcomes were assessed pre- and post-intervention using the Pittsburgh Sleep Quality Index (PSQI), Visual Analog Scale (VAS) for pain, Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30). Compared with the control group, the intervention group showed significant improvements in sleep quality, pain intensity, anxiety, and depression scores (all p < 0.05). Quality of life scores measured by EORTC QLQ-C30 were also significantly higher in the intervention group (p < 0.05). Combined psychological intervention and early enteral nutrition significantly enhance postoperative symptom control, including pain relief, improved sleep, and better psychological health, resulting in an overall improvement in quality of life (QOL) for colorectal cancer patients. This integrated approach is a promising strategy for improving postoperative recovery and symptom management.

We aimed to explore the application effects of humanistic nursing combined with Neuman's nursing in oncology patients. One hundred oncology patients were randomly divided into the observation and control groups, with 50 patients in each. Comparisons were made between both groups in terms of SF-36 scores, treatment compliance, nursing quality scores, Self-Rating Anxiety Scale (SAS) and Self-rating Depression Scale (SDS) scores, and Pittsburgh Sleep Quality Index (PSQI) scores. The observation group showed higher scores in the physical domain, physiological function, material life, and overall health of the SF-36 scale (P < 0.05). The observation group also exhibited higher treatment compliance rate (X² = 9.470), and higher scores in nurse-patient communication, nursing system, nursing service, and nursing environment of the nursing quality assessment (P < 0.05). After nursing, the observation group performed lower SAS and SDS scores (t = 17.556, 10.004), and higher scores in sleep quality, sleep duration, sleep disturbance, sleep onset latency, sleep efficiency, hypnotic medication use, and daytime dysfunction based on the PSQI (P < 0.05). The combination of humanistic nursing and Neuman's nursing improves the quality of life and treatment compliance in oncology patients, with improvements in negative emotions and sleep quality. However, this study's small sample of 100 cancer patients may not fully represent the diverse characteristics of various cancer types and stages, limiting conclusion generalizability. Furthermore, the short duration may have missed later-stage nursing intervention impacts. Thus, large-scale, long-term research is needed to provide reliable clinical evidence.

The aim of this study was to investigate the effects of transcranial direct current stimulation (TDCS) combined with tinnitus retraining therapy (TRT) on clinical efficacy and sleep disorder in patients with chronic tinnitus. 126 patients with chronic tinnitus treated in our hospital from May 2020 to June 2022 were retrospectively analyzed. These subjects were randomly divided into two groups: the electrical stimulation group and the combined group, in line with the random table method, with 63 patients in each group. Patients in the electrical stimulation group received TDCS treatment, and patients in the combined group were given TDCS combined with TRT. The clinical effects, tinnitus severity [Tinnitus Evaluation Questionnaire (TEQ) score and Tinnitus handicap inventory (THI) score], sleep status [Sleep Status Rating Scale (SRSS) score and Pittsburgh Sleep Quality Index (PSQI) score], psychological status [Hamilton Anxiety Scale (HAMA) score and Self Rating Depression Scale (SDS) score] and the quality of life (Quality of Life Scale) of these subjects in two groups were analyzed. The clinical effect of simple TDCS was 82.53%, which was sharply lower compared to 95.24% in the combined group (p<0.05). After the treatment, TEQ score, THI score, SRSS score, PSQI score, HAMA score, and SDS score were decreased in both groups (p<0.05), and the combined group was much lower than the TDCS group (p<0.01). Compared with the pre-treatment period, the scores of restrictions in daily living, medical resource utilization, somatic symptoms, and emotional disturbance were elevated in both groups after treatment, and the combined group had markedly higher scores than the TDCS group (p<0.05). TDCS combined with TRT had obvious effects in treating chronic tinnitus, which largely reduced the severity of tinnitus, improved patients' sleep quality and psychological status, and improved the quality of life, indicating a certain worthy of clinical application and promotion.

Poor or insufficient sleep adversely affects various physiological and psychological functions, impacting body systems such as the endocrine, metabolic, and immune systems. Despite available pharmacological and non-pharmacological treatments, the impact of chronic yoga interventions on sleep quality in individuals with sleep problem syndrome remains underexplored. This scoping review aims to consolidate existing research on yoga interventions and their effects on sleep quality, providing evidence for yoga as a non-pharmacological alternative to reduce reliance on medications. A systematic search across PubMed, Web of Science, and Scopus identified 1,559 studies, with 57 meeting inclusion criteria for yoga's effects on sleep quality. Overall, the included studies reported either significant improvements in sleep quality (or related) parameters or no change. Moderator analyses revealed that intervention duration and session frequency can influence sleep outcomes. Short-duration interventions (≤6 weeks) showed a large mean effect on sleep quality (9.41%; 95% CI 3.06 to 15.42%), with 54% of studies reporting statistically significant improvements. Medium-duration interventions (7-16 weeks) demonstrated consistent benefits, including a large mean effect on sleep quality (8.74%; 95% CI 2.93 to 14.55%) and a very large reduction in insomnia severity (13.19%; 95% CI 11.10 to 15.98%). However, sleep efficiency exhibited smaller effects (0.73%; 95% CI -1.99 to 3.45%). Long-duration interventions (≥17 weeks) produced the most robust results, with 100% of the studies reporting significant improvements, including a 7.92% increase in sleep quality (95% CI 3.23 to 12.60%). With regard to session frequency, low-frequency sessions (1-2 per week) yielded significant improvements in insomnia severity (13.66%; 95% CI 8.72 to 18.59%) and sleep quality (8.13%; 95% CI 2.67 to 13.59%). Moderate-frequency sessions (3-4 per week) balanced accessibility and efficacy, producing a large mean effect on sleep quality (9.21%; 95% CI 3.66 to 14.76%). High-frequency sessions (≥5 per week) demonstrated a similarly large effect on sleep quality (8.24%; 95% CI 2.28 to 14.20%), although the data were limited. Tailoring yoga interventions by duration and frequency is valuable, with chronic practice offering a safe, effective alternative to medication. Future research should refine protocols for specific populations and sleep challenges.

The 5-tone music therapy is a traditional Chinese medical practice that uses the therapeutic properties of specific musical notes to regulate physiological functions and promote psychological well-being. The aim of this study was to evaluate the effects of the 5 musical notes therapy on sleep disorders in individuals with Parkinson disease. The data of 74 patients with Parkinson disease who received treatment at our hospital between September 2021 and September 2023 were retrospectively analyzed. The patients who received 5 musical notes therapy were assigned to the study group (n=37), and the patients who received the routine care were assigned to the routine care group (n=37). The Pittsburgh Sleep Quality Index (PSQI), National Institutes of Health Stroke Scale (NIHSS), Mini-Mental State Examination (MMSE), Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS) scores were assessed and compared between the 2 groups. One month after the intervention, PSQI scores were significantly lower in both groups compared with baseline (P<0.05), with the study group demonstrating a greater reduction than the routine care group (P<0.05). MMSE scores increased significantly (P<0.05), and the study group exhibited higher MMSE scores than the routine care group (P<0.05). The SAS and SDS scores decreased in both groups post-intervention, with greater reductions observed in the study group compared with the routine care group (P<0.05). In addition, NHISS scores were significantly lower in the study group than in the routine care group (P<0.05). No significant differences were observed in the overall incidence of complications between the 2 groups (P>0.05). The application of the 5 musical notes therapy in the management of sleep disorders among patients with Parkinson disease demonstrated significant benefits, including improved sleep quality, enhanced cognitive function, and alleviation of anxiety and depression. This therapeutic approach also contributed to a reduction in NIHSS scores and is recommended for broader clinical implementation.

This study aimed to explore the factors influencing sleep disorders in patients with functional dyspepsia. A total of 100 patients with functional dyspepsia admitted to Gong An County People's Hospital from 2020 to 2021 were selected. According to the Pittsburgh Sleep Quality Index (PSQI), those with a score ≥8 were classified as the occurrence group, whereas those with a score <8 were classified as the non-occurrence group. Clinical and disease characteristics of patients were collected. Logistic regression analysis was used to identify influencing factors. The emotional distress and quality of life of patients with different severities of sleep disorders were compared. Pearson's correlation was used to identify the relationship between the degree of sleep disorders and various indicators. Out of 100 patients with functional dyspepsia, 58 (58.00%) had varying degrees of sleep disturbance. Logistic regression analysis showed that factors measured by the Self-Rating Anxiety Scale (SAS) (odds ratio [OR] = 3.088, p = 0.007), Self-Rating Depression Scale (SDS) (OR = 3.268, p = 0.005), Perceived Stress Scale (PSS) (OR = 2.659, p = 0.019), and Functional Digestive Disorders Quality of Life (FDDQL) questionnaire (OR = 2.591, p = 0.022) were the main factors influencing sleep disturbance. Pearson correlation analysis suggested that SAS (r = 0.677, p < 0.001), SDS (r = 0.623, p < 0.001), and PSS (r = 0.550, p < 0.001) scores were positively correlated with the severity of sleep disturbance, whereas FDDQL (r = -0.623, p < 0.001) score was negatively correlated with the severity of sleep disturbance. Functional dyspepsia patients are prone to varying degrees of sleep disorders, which are closely related to emotional distress and quality of life. Clinical interventions can be developed in advance to stabilize patient emotions and improve their quality of life.

This study aimed to explore the effect of electroacupuncture (EA) stimulation on bladder function improvement, sleep quality and psychological state in patients with neurogenic bladder (NB) after spinal cord injury (SCI). Patients with NB after SCI treated in our hospital from January 2020 to January 2025 were retrospectively enrolled and divided into a traditional treatment group and an EA treatment group on the basis of their treatment protocols. Both groups received bladder function training, with the EA group additionally receiving EA. Bladder function was evaluated using maximum bladder capacity (MBC), intravesical pressure (IVP) and residual urine volume (RUV). Micturition frequency (MF), single voided volume (SVV) and maximum voided volume (MVV) were used to assess micturition status. The Pittsburgh Sleep Quality Index (PSQI), the Self-rating Anxiety Scale (SAS) and the Self-rating Depression Scale (SDS) were used to evaluate sleep quality and psychological state. A total of 118 patients were included (56 in the EA group and 62 in the traditional group). The EA group showed significantly better improvements in bladder function and micturition indices (MBC, RUV, MF, SVV and MVV) than the traditional group (p < 0.05). The PSQI, SAS and SDS scores in the EA group were notably lower, indicating marked improvements in sleep quality and psychological state (p < 0.05). The EA group also had a lower incidence of adverse reactions (p < 0.05). EA stimulation combined with bladder function training effectively improves bladder function, micturition, sleep quality and psychological state in patients with NB after SCI.

Sleep disturbance is one of the clinical manifestations of post-intensive care syndrome (PICS) in ICU. Sleep disorders can cause changes in patients' emotional, cognitive, memory, immune, and motor systems, resulting in delayed wound healing, increased infection rate, readmission rate, mortality rate and complication rate. However, developing prediction models for sleep disorders in post-ICU patients is an understudied problem. To explore the risk factors of sleep disorders, establish the prediction model, and verify its prediction efficiency internally and externally, providing a scientific basis for clinical staff to prevent the occurrence of sleep disorder in patients transferred out of ICU in the early stages. A total of 405 patients transferred from the intensive care department of the Affiliated Hospital of Nantong University in China from May 2022 to December 2022 were selected as the study subjects by convenience sampling method and were divided into a modelling group of 270 patients and an internal verification group of 135 patients. A total of 67 ICU patients admitted to the same hospital from July 2023 to September 2023 were selected as the external validation group. General data and clinical data questionnaires were used to collect information on the influencing factors. The Pittsburgh Sleep Quality Index (PSQI) was used for follow-up 2 weeks after ICU transfer. According to the follow-up results, the patients were divided into a non-sleep disorder group and a sleep disorder group. Univariate analysis was used to analyse the risk factors of sleep disorders in ICU patients. To avoid multicollinearity, LASSO regression was used to filter variables. Through binary logistic regression, the forward step method and likelihood ratio test were selected to further screen the variables. R language was used to establish a riskprediction model and draw a column graph. Receiver operating characteristic (ROC) and Hosmer-Lemeshow (H-L) tests were used to verify the prediction effect of the model. The influencing factors for sleep disorders in patients transferred out of ICU were pre-hospital sleep disturbance [Odds Ratio: 4.467, 95% CI (1.191-16.749), p = .026], APACHE II score ≥15 [Odds Ratio: 6.452, 95% CI (1.777-23.434), p = .005], moderate comorbidities [Odds Ratio: 18.045, 95% CI (1.568-66.731), p = .015], severe comorbidities [Odds Ratio:12.083, 95% CI (2.785-116.911), p = .002], remifentanil use [Odds Ratio: 12.083, 95% CI (2.716-53.756), p = .001], RCSQ total score <45 [Odds Ratio: 18.037, 95% CI (4.907-66.300), p < .001], moderate depression [Odds Ratio: 70.659, 95% CI (8.195-609.219), p < .001] and severe depression [Odds Ratio: 8.563, 95% CI (1.165-62.936), p = .035]. The prediction model was as follows: Logit (P) = -10.529 + 1.497* (pre-hospital sleep disorder) +1.864* (APACHE II score ≥15) +2.325* (moderate complication) +2.893* (severe complication) +2.492* (remifentanil use) +2.892* (RCSQ) Total score <45 +0.574* (mild depression) +4.258* (moderate depression) +2.147* (major depression). The area under the ROC curve of the prediction model was 0.916, the sensitivity was 81.9%, and the specificity was 96.0%. The H-L test showed that χ2 = 4.301, p = .829 (p > .05). The area under the internal verified ROC curve (AUC) was 0.896, and the H-L test revealed that χ2 = 3.683 and p = .885 (p > .05). The area under the external verified ROC curve was 0.739, the sensitivity was 72.7%, and the specificity was 64.7%. The H-L test results showed that χ2 = 4.683, p = .699 (p > .05), indicating that the model had a good prediction effect. The risk histogram of sleep disorders in ICU patients can predict the risk of sleep disorders in ICU patients, and can be used to assess the high risk of sleep disorders in ICU patients, and can help nurses to formulate corresponding intervention measures. The dynamic nomogram can be used to systematically monitor various factors associated with sleep disorders, and the prevention of sleep disorders can improve outcomes and quality of life for patients discharged from the ICU. Furthermore, nurses need to develop and accurately apply nursing interventions, taking into account all relevant variables, thereby reducing the occurrence of sleep disorders.

The central link between septic shock and acute skin failure (ASF) is the inflammatory response, which occurs throughout disease progression and can lead to systemic inflammatory response syndrome. Patients often experience bad moods, sleep disorders, and other health issues. Despite recognizing these factors, no studies have examined the correlation between inflammatory factors, lactic acid levels, ASF, mood disturbances, and sleep quality in critically ill patients. We hypothesize that higher levels of inflammatory factors and lactic acid are associated with more severe ASF and poorer mood and sleep quality, which may inform clinical treatment for septic shock and ASF. To explore the relationship between inflammatory factors, lactic acid levels, the severity of ASF, bad mood, and sleep quality. The retrospective study included 150 patients with septic shock from the Second Hospital of Dalian Medical University, categorized into ASF (n = 35) or non-ASF groups (n = 115). We compared the peripheral blood inflammatory factors, including tumor necrosis factor-α (TNF-α), C-reactive protein (CRP), interleukin-6 (IL-6), lactic acid levels, skin mottling score (SMS), modified early warning score (MEWS), self-rating depression scale (SDS), self-rating anxiety scale (SAS), and Pittsburgh sleep quality index (PSQI) scores. Pearson correlation analysis assessed relationships among these variables. The ASF group had significantly higher levels of CRP (19.60 ± 4.10 vs 15.30 ± 2.96 mg/mL), IL-6 (298.65 ± 48.65 vs 268.66 ± 33.66 pg/L), procalcitonin, lactic acid (8.42 ± 2.32 vs 5.70 ± 1.27 mmol/L), SMS [0 (0, 1) vs 3 (2, 3)], MEWS (9.34 ± 1.92 vs 6.48 ± 1.96), SAS (61.63 ± 12.03 vs 53.71 ± 12.48), SDS (60.17 ± 12.64 vs 52.27 ± 12.64), and PSQI scores (14.23 ± 3.94 vs 8.69 ± 2.46) compared with the non-ASF group (all P < 0.001). Pearson correlation analysis revealed that IL-6, CRP, TNF-α, and lactic acid were positively correlated with SMS, MEWS, SAS, SDS, and PSQI scores (P < 0.05). Peripheral blood levels of IL-6, CRP, TNF-α, and lactic acid correlate positively with SMS, MEWS, SAS, SDS, and PSQI in critically ill patients with ASF.