Peripheral blood indicators and COVID-19: an observational and bidirectional Mendelian randomization study

Blood is critical for health, supporting key functions like immunity and oxygen transport. While studies have found links between common blood clinical indicators and COVID-19, they cannot provide causal inference due to residual confounding and reverse causality. To identify indicators affecting COVID-19, we analyzed clinical data (n = 2,293, aged 18-65 years) from Guangzhou Medical University's first affiliated hospital (2022-present), identifying 34 significant indicators differentiating COVID-19 patients from healthy controls. Utilizing bidirectional Mendelian randomization analyses, integrating data from over 2.46 million participants from various large-scale studies, we established causal links for six blood indicators with COVID-19 risk, five of which is consistent with our observational findings. Specifically, elevated Troponin I and Platelet Distribution Width levels are linked with increased COVID-19 susceptibility, whereas higher Hematocrit, Hemoglobin, and Neutrophil counts confer a protective effect. Reverse MR analysis confirmed four blood biomarkers influenced by COVID-19, aligning with our observational data for three of them. Notably, COVID-19 exhibited a positive causal relationship with Troponin I (Tnl) and Serum Amyloid Protein A, while a negative association was observed with Plateletcrit. These findings may help identify high-risk individuals and provide further direction on the management of COVID-19.

Globotriaosylsphingosine improves risk stratification of kidney progression in Fabry disease patients

BACKGROUND

Kidney damage is common in patients with Fabry disease (FD), but more accurate information about the risk of progression to kidney failure is needed for clinical decision-making. In particular, FD patients with mild renal involvement often lack timely intervention and treatment. We aimed to utilize a model to predict the risk of renal progression in FD patients.

METHODS

Between November 2011 and November 2019, ERT-naive patients with FD were recruited from three medical centers in China. To assess the risk of a 50% decline in the estimated glomerular filtration rate (eGFR) or end-stage kidney disease (ESKD), Cox proportional hazards models were utilized. The performance of these models was assessed using discrimination, calibration, and reclassification.

RESULTS

A total of 117 individuals were enrolled. The mean follow-up time was 4.8 years, during which 35 patients (29.9 %) progressed to the composite renal outcomes. Male sex, baseline proteinuria, eGFR and globotriaosylsphingosine (Lyso-Gb3) were found to be independent risk factors for kidney progression by the Cox model, based on which a combined model containing those clinical variables and Lyso-Gb3 and clinical models including only clinical indicators were constructed. The two prediction models had relatively good performance, with similar model fit measured by R2 (59.8 % vs. 61.1 %) and AIC (51.54 vs. 50.08) and a slight increase in the C statistic (0.949 vs. 0.951). Calibration curves indicated closer alignment between predicted and actual renal outcomes in the combined model. Furthermore, subgroup analysis revealed that Lyso-Gb3 significantly improved the predictive performance of the combined model for kidney prognosis in low-risk patients with a baseline eGFR over 60 ml/min/1.73 m2 or proteinuria levels less than 1 g/d when compared to the clinical model.

CONCLUSIONS

Lyso-Gb3 improves the prediction of kidney outcomes in FD patients with a low risk of progression, suggesting that these patients may benefit from early intervention to assist in clinical management. These findings need to be externally validated.

Cutaneous melanoma in older patients

BACKGROUND

In industrialized countries, the aging population is steadily rising. The incidence of cutaneous malignant melanoma (CMM) is highest in old people. This study focuses on the clinicopathological profile of CMM and indicators of diagnostic-therapeutic performance in older patients.

METHODS

This retrospective population-based cohort study included 1,368 incident CMM, as recorded in 2017 by the Regional Veneto Cancer Registry (Northeast Italy). Older subjects were defined as ≥ 80, old as 65-79, and adults as < 65 years of age. The strength of association between pairs of variables was tested by Cramer's-V. Using age groups as the dependent variable, ordered logistic regression was fitted using the clinicopathological CMM profiles as covariates. In each of the three age-groups, the indicators of clinical performance were computed using the Clopper-Pearson exact method.

RESULTS

Compared to patients aged younger than 80 years (1,187), CMM in older patients (181; 13.2%) featured different CMM topography, a higher prevalence of ulcers (43.3% versus 12.7%; p < 0.001), a higher Breslow index (p < 0.001), a lower prevalence of tumor-infiltrating lymphocytes (64.4% versus 76.5%, p < 0.01), and a more advanced pTNM stage at clinical presentation (p < 0.001). Elderly patients with a positive sentinel-lymph node less frequently underwent sentinel- lymph node biopsy and lymphadenectomy (60.0% versus 94.2%, and 44.4% versus 85.5%, respectively; p < 0.001).

CONCLUSIONS

In older CMM patients, the clinicopathological presentation of CMM shows a distinctive profile. The present results provide critical information to optimize secondary prevention strategies and refine diagnostic-therapeutic procedures tailored to older patients.

Retrospective study about clinical severity and epidemiological analysis of the COVID-19 Omicron subvariant lineage-infected patients in Hohhot, China

BACKGROUND

Fear of a global public health issue and fresh infection wave in the persistent COVID-19 pandemic has been enflamed by the appearance of the novel variant Omicron BF.7 lineage. Recently, it has been seeing the novel Omicron subtype BF.7 lineage has sprawled exponentially in Hohhot. More than anything, risk stratification is significant to ascertain patients infected with COVID-19 who the most need in-hospital or in-home management. The study intends to understand the clinical severity and epidemiological characteristics of COVID-19 Omicron subvariant BF.7. lineage via gathering and analyzing the cases with Omicron subvariant in Hohhot, Inner Mongolia.

METHODS

Based upon this, we linked variant Omicron BF.7 individual-level information including sex, age, symptom, underlying conditions and vaccination record. Further, we divided the cases into various groups and assessed the severity of patients according to the symptoms of patients with COVID-19. Clinical indicators and data might help to predict disadvantage outcomes and progression among Omicron BF.7 patients.

RESULTS

In this study, in patients with severe symptoms, some indicators from real world data such as white blood cells, AST, ALT and CRE in patients with Omicron BF.7 in severe symptoms were significantly higher than mild and asymptomatic patients, while some indicators were significantly lower.

CONCLUSIONS

Above results suggested that the indicators were associated with ponderance of clinical symptoms. Our survey emphasized the value of timely investigations of clinical data obtained by systemic study to acquire detailed information.

Exploring clinical indicator variations in stroke patients with multiple risk factors: focus on hypertension and inflammatory reactions

BACKGROUND

Stroke stands as the second leading cause of death worldwide. Currently, extensive research has been conducted on stroke risk factors. However, when stroke patients contend with multiple risk factors, the impact on clinical indicators remains uncertain.

OBJECTIVES

This study seeks to investigate potential significant variations among distinct ranges of clinical indicators in instances where stroke patients experience multiple risk factors and various ischemic stroke subtypes.

MATERIAL AND METHODS

The research encompassed 440 stroke patients admitted to the First People's Hospital of Wenling City, Zhejiang Province, China. These patients were classified based on the type and quantity of risk factors and subtypes of ischemic stroke they presented. The χ2 test was employed to assess the relationship between the risk of comorbid diseases and clinical indicators in stroke patients.

RESULTS

The results of our study have underscored a significant correlation between various comorbid risk factors in stroke patients and the patients' age (P < 0.010). Furthermore, we observed noteworthy disparities in the plasma levels of IL-2, IL-4, IL-6, IL-10, TNF-α, and INF-γ between patients devoid of risk factors and those presenting with comorbid risk factors associated with stroke. Significant differences in INF-γ were observed between the two subtypes of ischemic stroke, namely lacunar infarction and cardioembolic stroke.

CONCLUSION

Age is correlated with an elevated risk of stroke. Individuals exhibiting multiple stroke risk factors and diverse ischemic stroke subtypes commonly present with abnormal lipid levels and imbalances in Th1/Th2 cytokines. These factors significantly contribute to the onset and progression of stroke. Furthermore, inflammatory responses, particularly those induced by atherosclerosis, play a pivotal role in the genesis of stroke and exert a substantial influence on its prognosis.

Short-term effects of heatwaves on clinical and subclinical cardiovascular indicators in Chinese adults: A distributed lag analysis

AIMS

Previous studies have related heat waves to morbidity and mortality of cardiovascular diseases; however, potential mechanisms remained limited. Our aims were to investigate the short-term effects of heat waves on a series of clinical/subclinical indicators associated with cardiovascular health.

METHODS

Our study used 80,574 health examination records from the Health Management Center of Nanjing Zhongda Hospital during the warm seasons of 2019-2021, including 62,128 participants. A total of 11 recognized indicators of cardiovascular risk or injury were assessed. Air pollution and meteorological data were obtained from the Nanjing Ecological Environment Bureau and the China Meteorological Data Network, respectively. Heat waves were defined as a daily average temperature over the 95th percentile for three or more consecutive days from May to September. We used a combination of linear mixed effects models and distributed lag nonlinear models to assess the lagged effects of heat waves on clinical and subclinical cardiovascular indicators. Stratified analyses based on individuals' characteristics, including gender, age, body mass index (BMI), diabetes, and hypertension, were also performed.

RESULTS

Heat waves were related to significant changes in most indicators, with the magnitude of effects generally peaking at a lag of 0 to 3 days. Moreover, the cumulative percentage changes over lag 0-7 days were -0.82 % to -2.55 % in blood pressure, 1.32 % in heart rate, 0.20 % to 2.66 % in systemic inflammation markers, 0.36 % in a blood viscosity parameter, 9.36 % in homocysteine, and 1.35 % to 3.25 % in injuring myocardial enzymes. Interestingly, females and males showed distinct susceptibilities in different indicators. Stronger effects were also found in participants aged 50 years or over, individuals with abnormal BMI status, and patients with diabetes.

CONCLUSION

Short-term exposure to heat waves could significantly alter clinical/subclinical cardiovascular indicator profiles, including blood pressure changes, increased heart rate, acute systemic inflammation, elevated blood viscosity, and myocardial injury.

Nursing-sensitive quality indicators for quality improvement in Norwegian nursing homes - a modified Delphi study

BACKGROUND

Use of nursing-sensitive quality indicators (QIs) is one way to monitor the quality of care in nursing homes (NHs). The aim of this study was to develop a consensus list of nursing-sensitive QIs for Norwegian NHs.

METHODS

A narrative literature review followed by a non-in-person, two-round, six-step modified Delphi survey was conducted. A five-member project group was established to draw up a list of nursing-sensitive QIs from a preliminary list of 24 QIs selected from Minimum Data Set (2.0) (MDS) and the international Resident Assessment Instrument for Long-Term Care Facilities (interRAI LTCF). We included scientific experts (researchers), clinical experts (healthcare professionals in NHs), and experts of experience (next-of-kin of NH residents). The experts rated nursing-sensitive QIs in two rounds on a seven-point Likert scale. Consensus was based on median value and level of dispersion. Analyses were conducted for four groups: 1) all experts, 2) scientific experts, 3) clinical experts, and 4) experts of experience.

RESULTS

The project group drew up a list of 20 nursing-sensitive QIs. Nineteen QIs were selected from MDS/interRAI LTCF and one ('systematic medication review') from the Norwegian quality assessment system IPLOS ('Statistics linked to individual needs of care'). In the first and second Delphi round, 44 experts (13 researchers, 17 healthcare professionals, 14 next-of-kin) and 28 experts (8 researchers, 10 healthcare professionals, 10 next-of-kin) participated, respectively. The final consensus list consisted of 16 nursing-sensitive QIs, which were ranked in this order by the 'all expert group': 1) systematic medication review, 2) pressure ulcers, 3) behavioral symptoms, 4) pain, 5) dehydration, 6) oral/dental health problems, 7) urinary tract infection, 8) fecal impaction, 9) depression, 10) use of aids that inhibit freedom of movement, 11) participation in activities of interest, 12) participation in social activities, 13) decline in activities of daily living, 14) weight loss, 15) falls, and 16) hearing loss without the use of hearing aids.

CONCLUSIONS

Multidisciplinary experts were able to reach consensus on 16 nursing-sensitive QIs. The results from this study can be used to implement QIs in Norwegian NHs, which can improve the quality of care.

Clinical indicators for recommending continued care to patients with neck pain in chiropractic practice: a cohort study

BACKGROUND

Chiropractors' clinical indicators for recommending preventive continued care to patients with low back pain include previous pain episodes, a history of long pain duration and improvement after initial treatment. Our objectives were, in a cohort of patients with neck pain, to examine whether these clinical indicators were associated with being recommended continued care beyond 4 weeks, and if so whether this recommendation was dependent of chiropractor characteristics, as well as if the number of clinical indicators influenced this recommendation.

METHODS

In this multi-center observational study, 172 patients seeking care for a new episode of neck pain in chiropractic practice in Norway were included between September 2015 and May 2016. The chiropractors treated their patients as per usual, and for this study, baseline data and 4-week follow-up data were used. Patient data included the clinical indicators (1) previous episodes of neck pain, (2) a history of long duration neck pain and (3) improvement four weeks after initial treatment. The recruiting chiropractors were asked at 4-week follow-up if each patient was recommended continued care, defined as care planned beyond the first 4 weeks. Univariate and multivariable logistic regression models investigated the association between clinical indicators and the continued care recommendation, as well as the influence of chiropractor characteristics on this recommendation. Cross tabulations investigated the relationship between the number of indicators present and recommendation of continued care.

RESULTS

Long duration of neck pain was the strongest clinical indicator for being recommended continued care 4 weeks after the initial treatment. Chiropractor characteristics were not associated with this recommendation. In patients with all three clinical indicators present, 39% were recommended continued care. When two and one indicators were present, the percentages of those recommended continued care were 25% and 10%, respectively.

CONCLUSION

Chiropractors recommended continued care for patients experiencing neck pain based on their history of long pain duration, and this was not influenced by characteristics of the chiropractor. This differs from previous studies of indicators for maintenance care in patients with low back pain.

Negative correlation between circulating integrin α4+ group 3 innate lymphoid cells and the severity of type 2 diabetes

BACKGROUND

Impaired intestinal barrier and immune dysfunction promote the development of type 2 diabetes (T2D). Group 3 innate lymphoid cells (ILC3s), which are enriched in the intestinal lamina propria, are key for intestinal barrier integrity. However, there is a paucity of data on circulating ILC3s in patients with T2D.

PURPOSE

To examine the characteristics of ILC3s in patients with T2D and identify the relationship between ILC3s and clinical indicators of T2D.

METHODS

Fifty-nine patients with T2D and thirty controls were enrolled in this retrospective study. Peripheral blood mononuclear cells were isolated and analyzed by flow cytometry and plasma cytokine levels were measured by enzyme-linked immunosorbent assays.

RESULTS

The proportion of circulating ILC3s in the T2D group was significantly lower than that in controls and showed a negative correlation with fasting glucose and glycated hemoglobin and a positive correlation with granulocyte-macrophage colony-stimulating factor (GM-CSF). Similarly, the proportion of circulating integrin α4⁺ ILC3s was also significantly lower in the T2D group and showed a negative correlation with fasting glucose and glycated hemoglobin and a positive correlation with GM-CSF. Moreover, the level of circulating integrin α4⁺ ILC3s showed a positive correlation with the proportion of circulating dendritic cells (DCs), which was also decreased in patients with T2D and positively associated with GM-CSF.

CONCLUSION

ILC3s, especially integrin α4⁺ ILC3s, were decreased in patients with T2D and showed a negative correlation with disease severity. These cell subsets may delay the progression of T2D by promoting DC differentiation via the secretion of GM-CSF.

Predictors of endoscopic progression of ulcerative colitis after treatment

BACKGROUND

Some proteins in stool and peripheral blood indexes are related to the prognosis of mucosal healing in patients with ulcerative colitis (UC). However, at present, the relationship between clinical indicators before UC treatment and endoscopic progression after treatment is not completely clear. UC endoscopic index of severity (UCEIS) is an important tool to evaluate the therapeutic efficacy for UC, and it is comprised of three descriptors: Vascular morphology, bleeding, erosion and ulcer. In this study, we analyzed the factors affecting the endoscopic progression of UC after treatment so that clinicians could better predict the curative effect.

AIM

To identify the predictive factors for endoscopic progression of UC after treatment.

METHODS

A total of 156 UC patients admitted to the Ninth People's Hospital of Hangzhou were selected and divided into either a progression group or a non-progression group according to whether endoscopic progression occurred after treatment. The differences in various clinical indicators were compared between the two groups, and factors affecting endoscopic progression of UC after treatment were identified using a logistic regression model.

RESULTS

Serum albumin, C-reactive protein, and platelet volume at baseline differed significantly between the vascular morphology progression group and the non-progression group (P < 0.05). Lesion range, platelet volume, and platelet count at baseline were significantly different between the bleeding progression group and the non-progression group (P < 0.05). C-reactive protein (CRP) and erythrocyte sedimentation rate at baseline differed significantly between the erosion and ulcer progression group and the non-progression group (P < 0.05). Serum albumin, CRP, and platelet volume were significantly related to the progression of vascular morphology, platelet volume and platelet count were related to the progression of bleeding, and CRP and erythrocyte sedimentation rate were related to the progression of erosion and ulcer in UC after treatment (P < 0.05).

CONCLUSION

Serum albumin, CRP, platelet volume, platelet count, and erythrocyte sedimentation rate before UC treatment are related to different aspects of endoscopic progression of UC after treatment, and they have appreciated value in predicting the endoscopic progression of UC after treatment.

Abomasal impaction in buffaloes: Risk factors, clinical indicators, necropsy findings, and histology studies

The present study aims to identify potential risk factors and most possible clinical indicators of abomasal impaction in buffaloes. Among the screened buffaloes (n = 636), the logistic model was fitted for 491 buffaloes because of the non-availability of parity-related data for 145 buffaloes. Third-trimester pregnancy, feeding paddy straw alone, and concurrent disorders were identified as the potential risk factors using multivariate regression analysis. The buffaloes reared by farmers devoid of land tended to have a higher incidence of abomasal impaction. Depressed demeanour, absence of rumination, abdominal guarding, scleral congestion, sunken eyeballs, anorexia, reduced dung output, abacus beads-like faeces, colic signs (straining to defecate, frequent lying down, and kicking at abdomen), tachypnea, and tachycardia were the most repeatedly noticed clinical signs in buffaloes diagnosed with abomasal impaction. Further, the principal component analysis revealed increased rumen fluid sedimentation time and chloride content, serum creatine phosphokinase, and blood neutrophil and eosinophil content along with decreased blood lymphocytes proportion, potassium, and chloride as the greatest indicators for abomasal impaction. Next to them, a higher rumen fluid methylene blue reduction time, serum urea nitrogen, and blood total leucocyte count, along with a lower serum albumin and blood haemoglobin were the best possible indicators for diagnosis. The necropsy findings of the buffaloes that died with abomasal disorders revealed an abomasum with increased dimensions and constant pitting on pressure. Furthermore, the histopathological studies showed degeneration and necrosis of the abomasal wall with infiltrated mononuclear cells. The results of the study help in designing a comprehensive evaluation mechanism for diagnosing abomasal impaction in buffaloes.

The quality of mental health care delivered to patients with schizophrenia and related disorders in the Italian mental health system. The QUADIM project: a multi-regional Italian investigation based on healthcare utilisation databases

AIMS

To evaluate the quality of mental health care delivered to patients with schizophrenia and related disorders taken-in-care by mental health services in four Italian regions (Lombardy, Emilia-Romagna, Lazio, Sicily).

METHODS

Thirty-one clinical indicators concerning accessibility, appropriateness, continuity and safety were defined and estimated using healthcare utilisation (HCU) databases, containing data on mental health treatments, hospital admissions, outpatient interventions, lab tests and drug prescriptions.

RESULTS

A total of 70 586 prevalent patients with schizophrenia and related disorders treated in 2015 were identified, of whom 1752 were newly taken-in-care by the facilities of regional mental health services. For most patients community care was accessible and moderately intensive. However, care pathways were not implemented based on a structured assessment and only half of the patients received psychosocial treatments. One patient out of ten had access to psychological interventions and psychoeducation. Activities specifically addressed to families involved a third of prevalent patients and less than half of new patients. One patient out of six was admitted to a community residential facility, and one out of ten to a General Hospital Psychiatric Ward (GHPW); higher values were identified in new cases. In general hospitals, few patients had a length of stay (LoS) of more than 30 days, while one-fifth of the admissions were followed by readmission within 30 days of discharge. For two-thirds of patients, continuity of community care was met, and six times out of ten a discharge from a GHPW was followed by an outpatient contact within 2 weeks. For cases newly taken-in-care, the continuity of community care was uncommon, while the readiness of outpatient contacts after discharge was slightly more frequent. Most of the patients received antipsychotic medication, but their adherence to long-term treatment was low. Antipsychotic polytherapy was frequent and the control of metabolic side effects was poor. The variability between regions was high and consistent in all the quality domains.

CONCLUSIONS

The Italian mental health system could be improved by increasing the accessibility to psychosocial interventions, improving the quality of care for newly taken-in-care patients, focusing on somatic health and mortality, and reducing regional variability. Clinical indicators demonstrate the strengths and weaknesses of the mental health system in these regions, and, as HCU databases, they could be useful tools in the routine assessment of mental healthcare quality at regional and national levels.

Psychometric Properties of Clinical Indicators for Identification and Management of Advanced Parkinson's Disease: Real-World Evidence From G7 Countries

Introduction

Standardized and validated criteria to define advanced Parkinson’s disease (PD) or identify patient eligibility for device-aided therapy are needed. This study assessed the psychometric properties of clinical indicators of advanced PD and eligibility for device-aided therapy in a large population.

Methods

This retrospective analysis of the Adelphi Parkinson’s Disease Specific Programme collected data from device-aided therapy-naïve people with PD in G7 countries. We assessed the presence of 15 clinical indicators of advancing PD and seven indicators of eligibility for device-aided therapy in patients classified with advanced PD or as eligible for device-aided therapy by the treating physician. Accuracy was assessed using area under the curve (AUC) and multivariable logistic regression models. Construct validity was examined via known-group comparisons of disease severity and burden among patients with and without each clinical indicator.

Results

Of 4714 PD patients, 14.9% were classified with advanced PD and 17.5% as eligible for device-aided therapy by physician judgment. The presence of each clinical indicator was 1.9- to 7.3-fold more likely in patients classified with advanced PD. Similarly, the presence of device-aided therapy eligibility indicators was 1.8- to 5.5-fold more likely in patients considered eligible for device-aided therapy. All indicators demonstrated high clinical screening accuracy for identifying advanced PD (AUC range 0.84–0.89) and patients eligible for device-aided therapy (AUC range 0.73–0.80). The Unified Parkinson’s Disease Rating Scale (UPDRS) score, cognitive function, quality of life, and caregiver burden were significantly worse in indicator-positive patients.

Conclusion

Specific clinical indicators of advanced PD and eligibility for device-aided therapy demonstrated excellent psychometric properties in a large sample, and thus may provide an objective and reliable approach for patient identification and treatment optimization.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40120-021-00313-9.

Advanced Parkinson’s disease (PD) refers to the stage of disease when motor complications are difficult to manage with standard therapy. Patients reaching this stage of the disease may benefit from a treatment change from pills to the so-called device-aided therapies. However, there is currently no unanimous definition of advanced PD, which makes it challenging to identify suitable candidates for device-aided therapies. There is urgent need to define specific features (or ‘clinical indicators’) to support healthcare professionals and patients in the identification of advanced PD as well as to define suitability for device-aided therapy. This study aimed to assess the accuracy of 15 clinical indicators and seven device-aided therapy eligibility criteria using information from a large database of 4714 patients in G7 countries. Physicians classified 14.9% of patients as having advanced PD and 17.5% were judged to be eligible for device-aided therapy. Each clinical indicator or device-aided therapy eligibility indicator was detected more frequently in patients classified as having advanced PD and in patients considered eligible for device-aided therapy, respectively. All indicators had high accuracy for identifying advanced PD and device-aided therapy-eligibility. These previously identified clinical indicators of advanced PD and device-aided therapy eligibility may provide an objective and reliable approach for patient screening and treatment optimization.

Clinical indicators useful in decision-making about palliative chemotherapy for end-of-life ovarian cancer patients

PURPOSE

Chemotherapy for end-of-life ovarian cancer patients is a complex and delicate problem. We evaluated whether active palliative chemotherapy is beneficial for such patients using inflammatory parameters, nutritional indicators, and the PPI (Palliative Prognostic Index), which predicts short-term prognosis.

METHODS

Thirty-six patients among 49 patients who died from ovarian cancer from 2014 to 2019 at our hospital were enrolled, whom clinical and laboratory data just before starting their final chemotherapy regimen could be obtained. Associations between the time from last chemotherapy to death and the following parameters were investigated: age, performance status, neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio, Modified Glasgow Prognostic Score (mGPS), Prognostic Nutritional Index (PNI) score, and PPI score.

RESULTS

The median age was 57 (range 19-80) years. The median time from last chemotherapy to death was 45.5 (range 11-110) days. Eight patients (22%) died within 30 days of their last chemotherapy regimen. In univariate analysis, median survival time was significantly shorter in patients with higher NLR, mGPS 2, and higher PPI values; NLR (≥ median vs. < median): 32 (range 11-80) days vs. 54 (range 35-110) days, p = 0.008; mGPS (2 vs. 0-1): 42 (range 11-80) days vs. 96 (range 49-110) days, p = 0.012; and PPI score (≥ median vs. < median): 38 (range 11-74) days vs. 60 (range 18-110) days, p = 0.005. However, in multivariate analysis, no factors were identified as independent prognostic factors for survival.

CONCLUSION

Parameters, such as NLR, mGPS, and PPI score, may be indicators for discontinuation of palliative chemotherapy, and may be useful for maximizing end-of-life care for ovarian cancer patients.

Consensus among musculoskeletal experts for the management of patients with headache by physiotherapists? A delphi study

BACKGROUND

Though a large amount of research on the management of headache has been conducted, the clinical effectiveness of these treatments remains unclear.

OBJECTIVES

To reach consensus among international musculoskeletal experts on what the most appropriate management is in patients that suffer from headache.

DESIGN

Expert group and Delphi-study.

METHODS

A total of 11 experts participated in the expert panel groups, where the role of physiotherapy in the management of headache was discussed. Afterwards, 14 of the initial 25 participants in the field of headache completed the whole Delphi study, which was conducted over 4 rounds. The first round aimed to identify clinical indicators and treatments that are useful in patients with headache. These questions were then categorized and ranked during the second, third, and fourth rounds. Consensual agreement was set at ≥ 80%.

RESULTS

After the final round, 9 interventions were rated as useful by the participants. In the final extra round, 14 clinical indicators were retrieved as important to decide whether or not to start one of the consensual treatments. The top 3 management strategies were (1) upper cervical spine mobilisations in cervivogenic headache, (2) active mobilisation exercises of the cervical spine in cervivogenic headache, and (3) lifestyle advice in tension-type headache and migraine.

CONCLUSION

International experts agreed that most scientifically established effective treatments are useful in cervicogenic headache. Consensual agreement on treatments for migraine and tension-type headache were only reached for specific treatments. Their recommendations provide a framework for further research and the clinical management of headache.

'How many audits do you really need?': Learnings from 5-years of peripheral intravenous catheter audits

BACKGROUND

Peripheral intravenous catheters (PIVCs) are medical devices used to administer intravenous therapy but can be complicated by soft tissue or bloodstream infection. Monitoring PIVC safety and quality through clinical auditing supports quality infection prevention however is labour intensive. We sought to determine the optimal patient 'number' for clinical audits to inform evidence-based surveillance.

METHODS

We studied a dataset of cross-sectional PIVC clinical audits collected over five years (2015-2019) in a large Australian metropolitan hospital. Audits included adult medical, surgical, women's, cancer, emergency and critical care patients, with audit sizes of 69-220 PIVCs. The primary outcome was PIVC complications for one or more patient reported symptom/auditor observed sign of infection or other complications. Complication prevalence and 95% confidence interval (CI) were calculated. We modelled scenarios of low (10%), medium (20%) and high (50%) prevalence estimates against audit sizes of 20, 50, 100, 150, 200, 250, and 300. This was used to develop a decision-making tool to guide audit size.

RESULTS

Of 2274 PIVCs evaluated, 475 (21%) had a complication. Complication prevalence per round varied from 7.8% (95% CI, 4.2-12.9) to 39% (95% CI, 32.0-46.4). Precision improved with larger audit size and lower complication rates. However, precision was not meaningfully improved by auditing >150 patients at a complication rate of 20% (95% CI 13.9%-27.3%), nor >200 patients at a complication rate of 50% (95% CI 42.9%-57.1%).

CONCLUSION

Audit sizes should be 100 to 250 PIVCs per audit round depending on complication prevalence.

Valuable clinical indicators for identifying infantile-onset inflammatory bowel disease patients with monogenic diseases

BACKGROUND

Infantile-onset inflammatory bowel disease (IO-IBD) occurs in very young children and causes severe clinical manifestations, which has poor responses to traditional inflammatory bowel disease (IBD) treatments. At present, there are no simple and reliable laboratory indicators for early screening IO-IBD patients, especially those in whom the disease is caused by monogenic diseases.

AIM

To search for valuable indicators for early identifying IO-IBD patients, especially those in whom the disease is caused by monogenic diseases.

METHODS

A retrospective analysis was performed in 73 patients with IO-IBD admitted to our hospital in the past 5 years. Based on the next-generation sequencing results, they were divided into a monogenic IBD group (M-IBD) and a non-monogenic IBD group (NM-IBD). Forty age-matched patients with allergic proctocolitis (AP) were included in a control group. The clinical manifestations and the inflammatory factors in peripheral blood were evaluated. Logistic regression analysis and receiver operating characteristic (ROC) curve analysis were used to identify the screening factors and cut-off values of IO-IBD as well as monogenic IO-IBD, respectively.

RESULTS

Among the 44 M-IBD patients, 35 carried IL-10RA mutations, and the most common mutations were c.301C>T (p.R101W, 30/70) and the c.537G>A (p.T179T, 17/70). Patients with higher serum tumor necrosis factor (TNF)-α value were more likely to have IBD [odds ratio (OR) = 1.25, 95% confidence interval (CI): 1.05-1.50, P = 0.013], while higher serum albumin level was associated with lower risk of IBD (OR = 0.86, 95%CI: 0.74-1.00, P = 0.048). The cut-off values of TNF-α and albumin were 17.40 pg/mL (sensitivity: 0.78; specificity: 0.88) and 36.50 g/L (sensitivity: 0.80; specificity: 0.90), respectively. The increased ferritin level was indicative of a genetic mutation in IO-IBD patients. Its cut-off value was 28.20 ng/mL (sensitivity: 0.93; specificity: 0.92). When interleukin (IL)-10 level was higher than 33.05 pg/mL (sensitivity: 1.00; specificity: 0.84), or the onset age was earlier than 0.21 mo (sensitivity: 0.82; specificity: 0.94), the presence of disease-causing mutations in IL-10RA in IO-IBD patients was strongly suggested.

CONCLUSION

Serum TNF-α and albumin level could differentiate IO-IBD patients from allergic proctocolitis patients, and serum ferritin and IL-10 levels are useful indicators for early diagnosing monogenic IO-IBD.

Clinical indicators to identify neuropathic pain in low back related leg pain: a modified Delphi study

BACKGROUND

Neuropathic pain (NP) is common in patients presenting with low back related leg pain. Accurate diagnosis of NP is fundamental to ensure appropriate intervention. In the absence of a clear gold standard, expert opinion provides a useful methodology to progress research and clinical practice. The aim of this study was to achieve expert consensus on a list of clinical indicators to identify NP in low back related leg pain.

METHODS

A modified Delphi method consisting of three rounds was designed in accordance with the Conducting and Reporting Delphi Studies recommendations. Recruitment involved contacting experts directly and through expressions of interest on social media. Experts were identified using pre-defined eligibility criteria. Priori consensus criteria were defined for each round through descriptive statistics. Following completion of round 3 a list of clinical indicators that achieved consensus were generated.

RESULTS

Thirty-eight participants were recruited across 11 countries. Thirty-five participants completed round 1 (92.1%), 32 (84.2%) round 2 and 30 (78.9%) round 3. Round 1 identified consensus (Kendall's W coefficient of concordance 0.456; p < 0.001) for 10 clinical indicators out of the original 14, and 9 additional indicators were added to round 2 following content analysis of qualitative data. Round 2 identified consensus (Kendall's W coefficient of concordance 0.749; p < 0.001) for 10 clinical indicators out of 19, and 1 additional indicator was added to round 3. Round 3 identified consensus for 8 indicators (Kendall's W coefficient of concordance 0.648; p < 0.001). Following completion of the third round, an expert derived consensus list of 8 items was generated. Two indicators; pain variously described a burning, electric shock like and/or shooting into leg and pain in association with other neurological symptoms (e.g. pins and needles, numbness, weakness), were found to have complete agreement amongst expert participants.

CONCLUSIONS

Good agreement was found for the consensus derived list of 8 clinical indicators to identify NP in low back related leg pain. This list of indicators provide some indication of the criteria upon which clinicians can identify a NP component to low back related leg pain; further research is needed for stronger recommendations to be made.

Insights into the Role of Renal Biopsy in Patients with T2DM: A Literature Review of Global Renal Biopsy Results

INTRODUCTION

Renal biopsy performed in patients with type 2 diabetes mellitus (T2DM) for atypical or suspected diabetic kidney disease (DKD) reveals one of three possibilities: diabetic nephropathy (DN, pathological diagnosis of DKD), nondiabetic kidney disease (NDKD) and DN plus NDKD (mixed form). NDKD (including the mixed form) is increasingly being recognized worldwide. With the emerging concept of DKD and the complexity of routine application of renal biopsy, the identification of "clinical indicators" to differentiate DKD from NDKD has been an area of active research.

METHODS

The PubMed database was searched for relevant articles mainly according to the keyword search method. We reviewed prevalence of the three types of DKD and different pathological lesions of NDKD. We also reviewed the clinical indicators used to identify DKD and NDKD.

RESULTS

The literature search identified 40 studies (5304 data) worldwide between 1977 and 2019 that looked at global renal biopsy and pathological NDKD lesions. The overall prevalence rate of DN, NDKD and DN plus NDKD is reported to be 41.3, 40.6 and 18.1%, respectively. In Asia, Africa (specifically Morocco and Tunisia) and Europe, the most common isolated NDKD pathological type is membranous nephropathy, representing 24.1, 15.1 and 22.6% of cases, respectively. In contrast, focal segmental glomerulosclerosis is reported to be the primary pathological type in North America (specifically the USA) and Oceania (specifically New Zealand), representing 22% and 63.9% of cases, respectively. Tubulointerstitial disease accounts for a high rate in the mixed group (21.7%), with acute interstitial nephritis being the most prevalent (9.3%), followed by acute tubular necrosis (9.0%). Regarding clinical indicators to differentiate DKD from NDKD, a total of 14 indicators were identified included in 42 studies. Among these, the most commonly studied indicators included diabetic retinopathy, duration of diabetes, proteinuria and hematuria. Regrettably, indicators with high sensitivity and specificity have not yet been identified.

CONCLUSION

To date, renal biopsy is still the gold standard to diagnose diabetes complicated with renal disease, especially when T2DM patients present atypical DKD symptoms (e.g. absence of diabetic retinopathy, shorter duration of diabetes, microscopic hematuria, sub-nephrotic range proteinuria, lower glycated hemoglobin, lower fasting blood glucose). We conclude that renal biopsy as early as possible is of great significance to enable personalized treatment to T2DM patients.

Identifying the relevant determinants of MS related fatigue: The role of the clinical indicators of disease and personality

BACKGROUND AND OBJECTIVE

Research on the factors contributing to multiple sclerosis (MS) related fatigue are far from conclusive. Some studies put forward that clinical aspects of the disease give rise to this symptom whilst others emphasize the effects of psychological factors on its etiology. This study investigated the relationship between clinical aspects of MS and personality with MS fatigue.

METHOD

A total of 201 participants with MS of which 48 (23.9%) males and 153 (76.1%) females took part in this online study. Questionnaires were populated measuring clinical features of the disease (disease duration, type of MS, Expanded Disability Status Scale - EDSS), personality traits, and MS-related fatigue. Data was analyzed by hierarchical regression analyses.

RESULTS

Personality traits accounted for a greater variance in MS fatigue (R² = .482, p < .01) than clinical aspects of the disease, these results were conclusive after controlling for the sociodemographic variables and depression. Temperament explained in total 10.5% variance of fatigue and character an additional 4.0 %. High Harm avoidance (HA) (β = .229, p < .01) and low Self-directedness (SD) (β = -.217, p < .01) directly predicted fatigue. Also, temperament was shown to indirectly affect fatigue, through character. High HA and high Novelty-seeking (NS) through low SD predicted fatigue. The association between clinical features and fatigue was not observed unless paired with personality traits. EDSS in conjunction with HA and Secondary - progressive MS (SPMS) coupled with SD negatively affected fatigue levels.

CONCLUSION

Personality traits directly and indirectly predicted MS-related fatigue. Furthermore, the impact of clinical indicators of disease on fatigue would not be observed unless these features occurred together with particular personality traits.

Use of a medication-based algorithm to identify advanced Parkinson's disease in administrative claims data: Associations with claims-based indicators of disease severity

Introduction

Lack of a gold standard definition for advanced Parkinson's Disease (APD), coupled with absence of disease severity information in diagnostic codes, hinders use of large administrative databases for conducting population health and comparative effectiveness studies.

Methods

Using pharmacy claims data, we created an algorithm to identify APD: any 30-day average levodopa equivalent dose (LED) >1000 mg/day. Using 2013 100% U.S. Medicare claims, we applied this algorithm and used multivariate logistic regression to examine associations between assigned APD status and claims-based indicators of PD severity (any deep brain stimulation, fall, hallucinations, walker, wheelchair, specialty bed, dementia diagnosis, skilled nursing facility, hospice), adjusting for sociodemographic, clinical, and treatment characteristics. Levodopa >1000 mg/day, levodopa >800 mg/day and LED >800 mg/day were used in sensitivity analysis.

Results

In our sample (N = 144,703), 20% were assigned APD status based on the LED >1000 mg/day cut-off. This group had significantly higher odds of having each claims-based indicator, compared with those assigned mild-moderate PD status. Odds ratios were highest for indicators for any DBS (OR: 2.96; 95% CI:2.75–3.19) and specialty bed (OR:2.15, 95% CI: 1.99–2.32) and lowest for fall (OR:1.27; 95% CI:1.20–1.34) and dementia diagnosis (OR:1.21; 95% CI:1.18–1.25). Results based on alternative approaches were similar.

Conclusions

Medicare patients classified as having APD via a pharmacy claims-based algorithm had higher odds of having claims-based clinical markers of APD, compared with patients categorized as having mild-moderate PD. This proxy strategy could facilitate future claims-based studies and warrants further refinement and validation using medical records or other clinical sources.

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Prescription claims can be used to calculate average daily levodopa-equivalent dose.

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An algorithm (LED >1000 mg/day) was used to identify advanced Parkinson's in claims.

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20% of people with Parkinson's disease in a Medicare sample aged 65+ met this definition.

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The remaining 80% of the sample was classified as having mild/moderate disease.

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The advanced group had higher odds of having clinical markers of advanced disease.

Comparison of routine hematological indicators of liver and kidney function, blood count and lipid profile in healthy people and stroke patients

Background and methods

Stroke has become a major public health problem worldwide. In this article, we carried out statistical analysis, correlation analysis and principal component analysis (PCA) to evaluate the clinical value of routine hematological indicators in early diagnosis of ischemic stroke using R language.

Results

For the full blood count comparisons, stroke patients had obvious differences in the distribution width of red blood cells (RDW-CV), average distribution width of red blood cells (RDW-SD), mean hemoglobin concentrations, platelet large cell ratio, mean platelet volume and lymphocytes. Patients with ischemic stroke also exhibited different degrees of abnormalities in liver function test. With respect to renal function, stroke patients had obvious changes in uric acid and urea levels. Finally, when comparing the lipid profile, triglyceride concentrations were increased and high-density lipoprotein cholesterol concentrations were reduced in stroke patients. In addition, correlation analysis among these clinical indicators indicated that there were both common characteristics and differences between patients and health controls. Furthermore, the results of PCA indicated that these clinical indicators could distinguish patients from the healthy controls.

Conclusion

Conventional hematological clinical indicators, such as liver function, renal function, full blood count and lipid concentration profiles highly correlated with the occurrence of ischemic stroke. Therefore, the detection and analyzation of these clinical indicators are of great significance for the prediction of ischemic stroke.

Implementation of the CLiP database

PURPOSE

The purpose of this paper is to review the findings from an audit of the implementation of a consultation-liaison psychiatry (CLiP) database in all inpatients referred to a CLiP service at the largest hospital in Malaysia with the aim of improving the quality CLiP services.

DESIGN/METHODOLOGY/APPROACH

All inpatient referrals to the CLiP team were recorded over a three-month period and compared to previous audit data from 2017. Four audit standards were assessed: the reporting of referrals, timeliness of response indication of reason for referral and presence of a management plan.

FINDINGS

The compliance of reporting using the CLiP form was 70.1 per cent compared to 28 per cent in the audit data from 2017 after interventions were conducted. Analysis of the completed CLiP form reveals that 89 per cent of referrals were seen within the same working day. All referrals included the reason for referral. The most common reason for referral was for depressive disorders, but post-assessment, delirium was the most common diagnosis. In total, 87.8 per cent satisfied the audit criteria for a completed written care plan.

ORIGINALITY/VALUE

Specialised CLiP services are relatively new in Malaysia and this is the first paper to examine the quality of such services in the country. Interventions were effective in improving the compliance of reporting using the CLiP database. The findings suggest that the CLiP services are on par with international audit standards. Furthermore, data from this clinical audit can serve as a benchmark for the development of national operating policies in similar settings.

A study on the clinical indicators in the diagnosis of orofacial nonodontogenic tumors

Objective

This study aims to determine the clinical features which are helpful as significant indicators in the diagnosis of malignant and nonmalignant nonodontogenic orofacial tumors.

Materials and Methods

This was a prospective study performed on patients with swellings in the oral and maxillofacial region clinically suspicious of being tumors of nonodontogenic origin in a Nigerian Tertiary Health Institution. The statistical variables that were analyzed included patients' resume, clinical and radiological features as well as the histopathological diagnosis of the lesions. The level of significance was set at P < 0.05. Inferential analysis was done using Student's t-test, Chi-square, binary logistic regression, and adjusted odds ratio as appropriate.

Results

There were forty patients histopathologically diagnosed as nonodontogenic tumors of the orofacial region. Twenty-five (62.5%) were females and 15 (37.5%) were males with mean age of 36 ± 21.9 years. Histopathological features showed three different categories of the lesions: Reactive and benign (nonmalignant) and the malignant lesions. Lymphadenopathy (P = 0.035) and nonmobility of the swellings (P = 0.029) were significant clinical indicators that were strongly associated with histological diagnosis of the malignant nonodontogenic tumors.

Conclusion

This study showed that the nonodontogenic tumors occurred mostly in younger patients with a female preponderance. The mandible and the preauricular region were the most common sites. Lymphadenopathy and nonmobility of the swellings were strong clinical indicators for the diagnosis of the malignant nonodontogenic tumors.

Clinicians' perception of the preventability of inpatient mortality

Purpose The purpose of this paper is to assess whether clinicians have an accurate perception of the preventability of their patients' mortality. Case note review estimates that approximately 5 percent of inpatient deaths are preventable. Design/methodology/approach The design involved in the study is a prospective audit of inpatient mortality in a single NHS hospital trust. The case study includes 979 inpatient mortalities. A number of outcome measures were recorded, including a Likert scale of the preventability of death- and NCEPOD-based grading of care quality. Findings Clinicians assessed only 1.4 percent of deaths as likely to be preventable. This is significantly lower than previously published values ( p<0.0001). Clinicians were also more likely to rate the quality of care as "good," and less likely to identify areas of substandard clinical or organizational management. Research limitations/implications The implications of objective assessment of the preventability of mortality are essential to drive quality improvement in this area. Practical implications There is a wide disparity between independent case note review and clinicians assessing the care of their own patients. This may be due to a "knowledge gap" between reviewers and treating clinicians, or an "objectivity gap" meaning clinicians may not recognize preventability of death of patients under their care. Social implications This study gives some insight into deficiencies in clinical governance processes. Originality/value No similar study has been performed. This has significant implications for the idea of the preventability of mortality.

Healthcare quality indicators--a systematic review

PURPOSE

The purpose of this paper is to review the literature on quality model development, validation and limitations.

DESIGN/METHODOLOGY/APPROACH

The systematic literature review used online journal indexes between January 1995 and April 2010. International studies focusing on multiple functional domains and those in which development methods were selected. Two reviewers assessed all studies and 18 were shortlisted.

FINDINGS

Literature reviews, peer reviews, questionnaires and expert panels are the most frequently used model development methods. Expert judges were widely used to validate the models. The most important limitation was that key indicators were missing.

ORIGINALITY/VALUE

Existing healthcare quality models are not comprehensive and there is no consensus on targets, clinical areas or diseases.

Clinical indicators associated with successful tracheostomy cuff deflation

BACKGROUND

Tracheostomy cuff deflation is a necessary stage of the decannulation pathway, yet the optimal clinical indicators to guide successful cuff deflation are unknown.

OBJECTIVES

The study aims were to identify (1) the proportion of patients tolerating continuous cuff deflation at first attempt; (2) the clinical observations associated with cuff deflation success or failure, including volume of above cuff secretions and (3) the predictive capacity of these observations within a heterogeneous cohort.

METHODS

A retrospective review of 113 acutely tracheostomised patients with a subglottic suction tube in situ was conducted.

RESULTS

Ninety-five percent of patients (n=107) achieved continuous cuff deflation on the first attempt. The clinical observations recorded as present in the 24h preceding cuff deflation included: (1) medical stability, (2) respiratory stability, (3) fraction of inspired oxygen ≤0.4, (4) tracheal suction ≤1-2 hourly, (5) sputum thin and easy to suction, (6) sputum clear or white, (7) ≥moderate cough strength, (8) above cuff secretions ≤1ml per hour and (9) alertness≥eyes open to voice. Using the presence of all 9 indicators as predictors of successful cuff deflation tolerance, specificity and positive predictive value were 100%, although sensitivity was only 77% and negative predictive value 19%. Refinement to a set of 3 clinically driven criteria (medical and respiratory stability, above cuff secretions ≤1ml/h) provided high specificity (100%), sensitivity (95%), positive predictive value (100%) and an improved negative predictive value (55%).

CONCLUSIONS

Key criteria can help guide clinical decision-making on patient readiness for cuff deflation.

Procalcitonin concentrations as a predictor of unexpected readmission and mortality after intensive care unit discharge: A retrospective cohort study

Procalcitonin (PCT) has been used to guide treatment in critically ill patients with sepsis, but whether PCT at intensive care unit (ICU) discharge can stratify risks of post-ICU readmission or mortality is unknown. This cohort study compared the ability of PCT with C-reactive protein (CRP) in predicting unexpected adverse post-ICU events. Of the 1877 patients admitted to the multidisciplinary ICU between 1 April 2012 and 31 March 2014, 1653 (88.1%) were discharged without treatment limitations. A total of 71 (4.3%) were readmitted and 18 patients (1%) died unexpectedly after ICU discharge during the same hospitalization. Both PCT (0.6 vs 0.4 μg/L, P = .002) and a high CRP concentration >100 mg/L (58% vs 41%, P = .004) at ICU discharge were associated with an increased risk of adverse post-ICU events in the univariate analyses; however, the ability of PCT to discriminate between patients with and without adverse post-ICU outcomes was limited (area under the receiver operating characteristic curve = 0.61; 95% confidence interval, 0.55-0.66). In the multivariable analysis, only a high CRP concentration (odds ratio, 1.92; 95% confidence interval, 1.12-3.11; P = .008) was associated with an increased adverse post-ICU events. Elevated PCT concentration at ICU discharge was inadequate in its predictive ability to guide ICU discharge.

Bayesian methods in reporting and managing Australian clinical indicators

Sustained clinical improvement is unlikely without appropriate measuring and reporting techniques. Clinical indicators are tools to help assess whether a standard of care is being met. They are used to evaluate the potential to improve the care provided by healthcare organisations (HCOs). The analysis and reporting of these indicators for the Australian Council on Healthcare Standards have used a methodology which estimates, for each of the 338 clinical indicators, the gains in the system that would result from shifting the mean proportion to the 20^th centile. The results are used to provide a relative measure to help prioritise quality improvement activity within clinical areas, rather than simply focus on “poorer performing” HCOs. The method draws attention to clinical areas exhibiting larger between-HCO variation and affecting larger numbers of patients. HCOs report data in six-month periods, resulting in estimated clinical indicator proportions which may be affected by small samples and sampling variation. Failing to address such issues would result in HCOs exhibiting extremely small and large estimated proportions and inflated estimates of the potential gains in the system. This paper describes the 20^th centile method of calculating potential gains for the healthcare system by using Bayesian hierarchical models and shrinkage estimators to correct for the effects of sampling variation, and provides an example case in Emergency Medicine as well as example expert commentary from colleges based upon the reports. The application of these Bayesian methods enables all collated data to be used, irrespective of an HCO’s size, and facilitates more realistic estimates of potential system gains.