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A NOVEL INFLAMMATORY MARKER OF DIAGNOSTIC IMPORTANCE IN DIABETIC SENSORY-MOTOR NEUROPATHY: SYSTEMIC IMMUNE INFLAMMATION INDEX

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Diabetic sensory-motor neuropathy (DSMN) is a prevalent complication of diabetes mellitus characterized by nerve damage leading to sensory deficits, motor dysfunction, and neuropathic pain. This abstract examines the clinical and diagnostic significance of the Systemic Immune Inflammation Index (SII) in DSMN. Recent research has highlighted the association between systemic inflammation and the pathogenesis of DSMN. The SII, calculated based on peripheral blood cell counts, serves as a composite marker reflecting the balance between systemic immune responses and inflammatory status. Clinical studies have demonstrated a positive correlation between elevated SII levels of DSMN. Patients with higher SII values exhibit more pronounced neuropathy symptoms and impaired nerve conduction velocities, indicating a potential link between inflammation-mediated processes and neuropathic damage. Furthermore, the SII has emerged as a valuable diagnostic tool for predicting DSMN related inflammatory sequel and monitoring disease progression. Its non-invasive nature and cost-effectiveness make it a promising biomarker for identifying individuals at risk of developing neuropathic complications in diabetes. This abstract underscores the clinical relevance of the SII in enhancing our understanding of the inflammatory mechanisms underlying DSMN and its potential utility in early detection and management strategies. Further investigation into the predictive value and therapeutic implications of the SII in DSMN is warranted to optimize patient care and outcomes. The present study aims to evaluate the potential role of SII in predicting inflammation in patients with Diabetic Sensory-motor Neuropathy.
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Original research article
A NOVEL INFLAMMATORY MARKER OF DIAGNOSTIC
IMPORTANCE IN DIABETIC SENSORY-MOTOR
NEUROPATHY: SYSTEMIC IMMUNE INFLAMMATION
INDEX
1Soumik Chatterjee, 2Papiya Majumdar
1Post Graduate Resident, KPC Medical College and Hospital, Jadavpur, Kolkata, West
Bengal, India
2Assistant Professor, Department of Pathology, KPC Medical College and Hospital,
Jadavpur, Kolkata,
West Bengal, India
Corresponding Author:
Soumik Chatterjee
Abstract
Diabetic sensory-motor neuropathy (DSMN) is a prevalent complication of diabetes
mellitus characterized by nerve damage leading to sensory deficits, motor dysfunction,
and neuropathic pain. This abstract examines the clinical and diagnostic significance
of the Systemic Immune Inflammation Index (SII) in DSMN. Recent research has
highlighted the association between systemic inflammation and the pathogenesis of
DSMN. The SII, calculated based on peripheral blood cell counts, serves as a
composite marker reflecting the balance between systemic immune responses and
inflammatory status. Clinical studies have demonstrated a positive correlation between
elevated SII levels of DSMN. Patients with higher SII values exhibit more pronounced
neuropathy symptoms and impaired nerve conduction velocities, indicating a potential
link between inflammation-mediated processes and neuropathic damage. Furthermore,
the SII has emerged as a valuable diagnostic tool for predicting DSMN related
inflammatory sequel and monitoring disease progression. Its non-invasive nature and
cost-effectiveness make it a promising biomarker for identifying individuals at risk of
developing neuropathic complications in diabetes. This abstract underscores the
clinical relevance of the SII in enhancing our understanding of the inflammatory
mechanisms underlying DSMN and its potential utility in early detection and
management strategies. Further investigation into the predictive value and therapeutic
implications of the SII in DSMN is warranted to optimize patient care and outcomes.
The present study aims to evaluate the potential role of SII in predicting inflammation
in patients with Diabetic Sensory-motor Neuropathy.
Keywords: Diabetes Mellitus, Inflammation, Systemic Immune Inflammation Index,
Neuropathy
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Introduction
India's struggle with diabetes is an imperative and inescapable global health crisis. With
one of the highest rates in the world, it's time to take action and address this issue head-
on. Peripheral neuropathy is one of the major microvascular consequences of type 2
diabetes mellitus (T2DM) It is more common than nephropathy or retinopathy
secondary to T2DM, and is the leading cause of lower limb amputation in Western
countries [1-3]. Diabetic sensory-motor neuropathy (DSMN) may have variable
manifestations based on the nervous system involved, resulting in a complicated
spectrum of symptoms. However, peripheral neuropathy is the most frequent feature
and, as clearly outlined by recent guidelines, it might affect almost half of patients with
T2DM during their lifetime [1, 4].
DSMN can present in various forms such as symmetric sensory-motor axonal
neuropathy, proximal asymmetric painful motor neuropathy, mononeuropathy, or
autonomic neuropathy. The latter occurs mainly due to the involvement of small fibers
[1]. The pathogenesis is characterized by inflammatory damage to the peripheral
neurons that transmit motor and sensory impulses [1, 5]. This damage is mostly seen in
the longest nerve fibers, hence known as "length-dependent" neuropathy [1, 6].
The Systemic Immune Inflammation Index (SII) is a measure used to assess the balance
of host inflammatory and immunological status. It was initially designed to predict the
outcome in patients with hepatocellular carcinoma [7]. However, recent studies have
shown that it can also be used as a prognostic factor for various malignancies and
inflammatory conditions [8-11]. Some researchers believe that the increasing rates of
diabetes can be partly attributed to low-grade chronic inflammation and the resulting
insulin resistance [12]. SII is an effective and non-invasive biochemical marker that can
be readily obtained through routine blood work, making it an economical alternative to
other markers.
Various health conditions, including malignancies, cardiovascular diseases, and hepatic
steatosis, have been linked to the Systemic Immune-Inflammation Index (SII). Despite
being a common complication of diabetes, the link between SII and DSMN is still not
well comprehended and has not been methodically studied. We need to be involved in
more research to explore this relationship and gain a better understanding of this
debilitating condition. Studies are insufficient on this topic from the eastern region of
the country at present. The objective of our is to explore the potential of SII as a novel
indicator of inflammation in Diabetes Mellitus. We aim to gain a better understanding
of how this marker can be of assistance in diagnosing and managing the disease more
effectively.
Materials & Methods
A study was conducted for a year on 100 patients with T2DM in a city hospital located
in eastern part of India. The study included individuals aged between 18 to 80 years,
who were diagnosed with Type 2 diabetes as per the 1999 World Health Organization
Diagnostic Standards for Diabetes Patients. Only those individuals who voluntarily
agreed to participate were included in the study. However, patients with acute diabetic
complications or undergoing acute stress states, patients with non-healing diabetic foot
ulcers, patients with severe cardiac, liver, or renal insufficiency, and patients diagnosed
with cancer, recent infections, immune system disorders, or blood system diseases were
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excluded from the study.
All patients underwent a Nerve Conduction Study (NCS) examination. The NCS was
performed in the unilateral upper and lower extremities. Motor NCS was performed in
the nerves of the upper extremities including median and ulnar. They were also done in
the peroneal and tibial nerves of the lower extremities. For each nerve, the F-waves
were recorded. Sensory NCS were attained from the median, ulnar, and sural nerves. H-
reflex studies were also completed. Based on the NCS report, the patients were
subsequently categorized into two groups the diabetic neuropathy group (n=50) and the
diabetic non-neuropathy group (n=50).
A Sysmex XN 100 analyzer was used to conduct a Comprehensive Blood Count
(CBC), which measured the total count of white blood cells, platelets, neutrophils, and
lymphocytes. Subsequently, the Systemic Immune-Inflammation Index (SII) was
calculated by multiplying the total platelet count by the total neutrophil count and
dividing the result by the total lymphocyte count.
Statistical scrutiny of the compiled data was accomplished by using SPSS 24.0
software. The measurement data that trailed a normal distribution were represented in
terms of measures of central tendency. Group contrasts were achieved using two
independent samples t-tests. When analyzing non-normally distributed measurement
data and expressing it as the median and quantile spacing, it becomes a reliable
approach. To perform group comparisons, the Mann-Whitney U-test is a proven and
effective method. Trusting these methods one can ensure accurate and meaningful
insights from the data analysis.
The Mantel-Haenszel analysis was used for the chi-square trend test, for observing the
drift of the study. We used restrictive cubic spline analysis to investigate the non-linear
relationships between the risk of DSMN in patients with type 2 diabetes (T2DM) and
systemic immune-inflammation index (SII). Additionally, we evaluated the diagnostic
value of SII for DSMN in T2DM patients by analyzing the Receiver Operating
Characteristic (ROC) curve, including the calculation of the area under the curve
(AUC). We considered statistical significance at P < 0.05 for all analyses.
Results
Among all T2DM patients, patients with DSMN exhibited significantly higher SII
levels, when compared to non-DSMN patients (P<0.001). The incidence of DSMN was
higher among male patients compared to the non-DSMN group (P=0.025). DSMN
patients had a significantly longer duration of diabetes compared to non-DSMN
patients (p=0.025).
We categorized patients into four groups based on quartile intervals of the SII quartile
spacing level (I, II, III & IV) to convert SII into ordered multi-classification variables
and each group comprised 25 patients. The SII intervals were Group I (SII<311), group
II (311<SII<428), group III (428<SII<555), and Group IV (SII>555).
We performed a Mantel-Haenszel chi-square trend test on the four patient groups.
Upon grouping, a linear trend was evident between SII and the occurrence of DSMN
(P<0.001). A moderate positive correlation was found between SII and DSMN, with a
correlation coefficient of 0.3 and a P-value of less than 0.001. The incidence of DSMN
demonstrated an escalating pattern with increasing SII quartile levels with rates of
27.8%, 44.8%, 61.2%, and 74.2% in Groups I, II, III, and IV, respectively (Table 1).
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Table 1: Mantel-Haenszel Chi-Square Trend
Mantel-Haenszel Chi-Square Trend
Groups
I
II
III
IV
DSMN %
27.8
44.8
61.2
74.2
For SII, a significant linear relationship with the incidence of DSMN was observed (P
total trend <0.001, P nonlinear = 0.06). DSMN incidence significantly increased when
SII > 428, and it increased linearly with higher SII values. The ROC curve analysis
revealed that SII exhibited the highest accuracy in evaluating DSMN, with an AUC of
0.80, a sensitivity of 76.1%, and a specificity of 71.6%.
Discussion
This study represents the first assessment of the association between SII and Diabetic
sensory-motor neuropathy in a cohort of Indian adults. When examining the cohort as a
whole, we found a positive relationship between SII and DSMN.
In recent times, SII and system inflammation response index (SIRI) have emerged as
novel markers of inflammation. Studies have indicated that SII and SIRI encompass
platelets and various inflammatory cells present within white blood cells, including
diverse immune regulatory pathways in the body. In comparison to individual white
blood cells and platelets, these indices are less affected by the physiological and
pathological states of the body, thereby offering a more consistent reflection of the
overall inflammatory condition [13, 14]. It is noteworthy that the calculation methods for
SII and SIRI are simple and affordable, requiring only common blood routine
parameters. It's important to note that the Systemic Immune-Inflammation Index (SII)
can be used to evaluate diabetic patients who have limited mobility or cognitive
disorders because it doesn't require their active involvement.
Research shows that there is a strong connection between SII, SIRI, and diabetes. SII
can also be used to predict and assess conditions like diabetic nephropathy and
depression [14, 15]. Our findings are consistent with previous studies that have identified
a positive correlation between SII and diabetes or its complications. For example, a
study by Nie Y et al. found that SII was positively associated with diabetes [16]. Another
study by Ozer Balin S et al. found a moderately positive relationship between the SII
index and Diabetic Foot Infection [17].
However, it's important to acknowledge the limitations of this study. Our investigation
was limited to a specific community and included a relatively small number of
participants. Therefore, it's not possible to generalize these findings to a wider
population of patients. Further correlation studies, including extensive clinical trials,
are necessary to validate the associations between SII, SIRI, and individuals with
DSMN.
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Conclusion
Our study concluded that there is a positive correlation between the Systemic Immune
Inflammation Index and diabetic sensory-motor neuropathy. To our knowledge, this
study is the first to utilize prospective cohort data in examining the correlation between
sensory-motor neuropathy in T2DM patients and SII levels. The study was conducted
among adults in a city-based hospital in Eastern India, and the findings suggest that SII
may act as an independent and early marker of inflammation factor for sensory-motor
neuropathy. Higher levels of SII may hold promise as useful indicators of this condition
in T2DM patients.
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Introduction. Stage IIB cervical cancer (CC) is an advanced stage CC with poor prognosis. Inflammatory response plays a crucial role in the development of CC, and systemic inflammatory indexes were related to the prognosis in several cancers. The objective of the study was to determine the prognostic value of platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), basophil-to-lymphocyte ratio (BLR), and systemic inflammation response index (SIRI) as inflammatory indexes in patients with stage IIB CC. Materials and Methods. A retrospective study was performed in 260 patients with stage IIB CC. PLR, NLR, MLR, BLR, and SIRI were obtained from routine blood tests. Prognosis information of the patients was acquired from regular clinical follow-up. Recurrence and response to therapy were determined through electronic medical records (EMRs). Correlations of the inflammatory indexes with overall survival (OS), progression-free survival (PFS), recurrence, and response to therapy were analyzed using SPSS version 26.0 software. Results. Receiver operating characteristic (ROC) curve analyses suggested that NLR, MLR, and SIRI had better predictive value than PLR as well as BLR in the prognosis and recurrence risk. Both univariate and multivariate survival analyses showed that higher NLR and MLR were significantly associated with shorter OS as well as PFS, whereas SIRI was not an independent predictive factor of PFS. Chi-square test results revealed that increased NLR was significantly correlated with higher recurrence rate (), and increased MLR showed significant correlation with elevated recurrence risk (). Univariate and binary logistic regression analyses for response to therapy indicated that elevated NLR was associated with decreased complete remission (CR) rate (), and the value lost statistical significance while being adjusted by tumor size (). Conclusions. For patients with stage IIB CC, both NLR and MLR are independent prognostic factors as well as risk factors for recurrence; NLR serves as a potential marker for therapeutic response. 1. Introduction Cervical cancer (CC) is one of the most common female cancers, with the high mortality among women suffering from cancers, especially in developing countries [1]. Factually, CC was reported to be the fourth most frequently diagnosed cancer with approximately 527,600 newly diagnosed cases annually, and the fourth leading cause of cancer death with about 265,700 deaths each year [1]. Most of CC deaths occur in developing countries. In India, the CC deaths account for 25% of the worldwide CC deaths [2]. In China, there are about 98,900 newly diagnosed CC patients and 30,500 deaths from the cancer annually, and the incidence and mortality of CC are at the peak among female cancers [3]. A large number of CC patients still have poor prognosis despite the fact that many advances have occurred in the therapy of CC [4, 5]. Several prognosis factors are used to predict the survival of CC patients, and the patients with poor prognosis will receive more intensive chemotherapy or adjustment in the chemotherapy regimens; nevertheless, the prediction of CC prognosis is still mainly dependent on the clinical examination and imaging [6, 7]. Hence, it is meaningful to exploit more helpful and practical prognostic factors to provide a guidance in the therapy of CC, and a free or convenient access to the data of prognostic factors is necessary in the clinical practice. Immune cells mediate inflammation response by the release of inflammatory factors to block pathological processes, probably leading to tissue injury [8, 9]. Inflammatory factors can activate immune system to promote the viability and proliferation of some malignant tumor cells, such as colorectal cancer cells. Cytokines, as inflammatory factors, are involved in the migration and motility of tumor cells and contribute to enhance the invasive ability of the tumor cells. In breast cancer, colony-stimulating factor 1 (CSF-1) was identified to promote metastatic potential leading to progression of the tumor to malignancy, and overexpression of CSF-1 is associated with poor prognosis [10, 11]. Moreover, inflammatory factors have the potential to be prognostic factors in colorectal cancer, and the risk of the mortality may be roughly evaluated by determining the plasma levels of inflammatory factors [12]. Therefore, systemic inflammatory factors, such as platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and basophil-to-lymphocyte ratio (BLR), have been increasingly studied on the connection with cancer prognosis [13–17]. The platelet, lymphocyte, and neutrophil are important components in the tumor cell-containing microenvironment, of which the platelet promotes tumor growth and metastasis [18, 19]; the lymphocyte plays a crucial role in immunological response contributing to tumor defense [20]; the neutrophil, as the first responder to inflammation, has been increasingly recognized for involving in tumor progression and cancer development [21]. In recent years, PLR and NLR have been reported to be associated with poor prognosis in several cancers, such as hepatocellular carcinoma [22], colorectal cancer [23], and gastric cancer [24], esophageal squamous cell carcinoma [25], breast cancer [26], etc. Additionally, MLR served as a prognostic factor in patients with cancers involving colorectal cancer [27], pancreatic neuroendocrine tumors [28], gallbladder cancer [29], gastrointestinal stromal tumors [30], etc. Moreover, Prabawa IPY et al. [17] found that BLR was a risk factor for invasive cervical cancer. With respect to systemic inflammation response index (SIRI), its prognostic value was certified in several types of cancers [31–34]. Unlike genetic screening, the values of PLR, NLR, MLR, BLR, and SIRI are extremely easy to be obtained from blood routine examinations, without extra charge. Stage IIB CC defined that the CC had invaded the parametrium, but not into the pelvic sidewall [7]. Compared to early-stage CC defined through stages IA to IIA1 with tumor size <4 cm [35], stage IIB CC had lower five-year survival rate. Moreover, the recurrence rate of stage IIB CC was high, and lymph node metastasis occurred with a high frequency in the stage IIB CC [36]. However, the data on the prognosis of stage IIB CC have been limited so far. Although there were numerous published studies that had demonstrated the prognostic value of inflammatory indexes (PLR, NLR, MLR, BLR, and SIRI) for CC patients [17, 37–43], whether the inflammatory indexes serve as predictive factors for prognosis, recurrence, and therapeutic response in patients with stage IIB cervical cancer remains unknown. The aim of the study is to investigate the inflammatory indexes including PLR, BLR, NLR, MLR, and SIRI as the biomarkers in predicting clinical outcome in patients with stage IIB CC. 2. Materials and Methods 2.1. Patients The retrospective study involved 260 patients diagnosed with stage IIb cervical cancer from March 2011 to October 2016 in the Guizhou Cancer Hospital, Guiyang, Guizhou Province, China. The demographic, hematological, and pathological data of the patients were obtained from electronic medical records (EMRs), and the prognosis data were acquired from regular clinical follow-up. The staging of CC was determined by International Federation of Gynecology and Obstetrics (FIGO) stage classification (2009) involving stages I, II, III, and IV, and only stage IIb CC patients were admitted in the study. The inclusion criteria were that patients with stage IIb CC received complete therapy (neoadjuvant chemotherapy plus radiotherapy, or complete neoadjuvant chemotherapy) and underwent routine blood tests before the therapy. The exclusion criteria were as follows: (1) Use of drugs influencing routine blood tests, such as glucocorticoid, sex hormone, G-CSF (granulocyte colony-stimulating factor), interleukin, heparin, etc. (2) Accompaniment with diseases affecting peripheral blood parameters, including liver and kidney disease, myocardial infarction, connective tissue disease, and hematological disease. (3) Blood transfusion within one week prior to the therapy. 353 candidate patients with stage IIb CC were selected from EMRs in the hospital; finally, 260 patients with stage IIb CC were included in accordance with the inclusion and exclusion criteria (Figure 1).
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