scholarly journals TO STUDY THE ROLE OF PLATELET INDICES (MPV, PDW, PCT, PLCR) AS PROGNOSTIC MARKERS IN COMPARISON WITH APACHE II AND SAPS 3 SCORES IN SEVERE SEPSIS

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Ramesh Kumar ◽  
Laxmi . ◽  
Maniram Kumhar ◽  
Arunarya .
Keyword(s):  
Severe Sepsis ◽  
Prognostic Marker ◽  
Mean Platelet Volume ◽  
Prognostic Markers ◽  
Apache Ii ◽  
Apache Ii Score ◽  
P Value ◽  
Platelet Volume ◽  
Platelet Indices ◽  
Saps 3

Background: Platelet indices including mean platelet volume (MPV), platelet volume distribution width (PDW), plateletcrit (PCT) and platelet large cell ratio (PLCR), these indices can be measured by an inexpensive and readily available routine blood count and may be useful as a prognostic marker in patients with sepsis Methods: This study was planned to establish platelet indices as a prognostic marker in comparison with APACHE II and SAPS 3 score in severe sepsis patients admitted in Medical Intensive Care Unit under Department of Medicine, Jawahar Lal Nehru Medical College & Hospital, Ajmer. Results: In our study, higher Mean Platelet Volume(MPV) on day 7 was associated with higher APACHE II score, and this difference was statistically significant (p value-0.001). Also, higher Mean Platelet Volume (MPV) on day 7 was associated with higher SAPS III score, and this difference was statistically significant (p value-0.01). Conclusion: In developing countries like India platelet indices (specially MPV and PDW) measured on admission and subsequently can be used as prognostic markers in severe sepsis in emergency and critical care setup. Keywords: MPV, Sepsis, APACHE II, SAPS 3

scholarly journals Platelet Indices as Potential Monitoring Biomarkers in COVID-19: A New Hope

2021 ◽  
Vol 25 (1) ◽  
pp. 134-139
Author(s):  
Attika Khalid ◽  
Sami Saeed ◽  
Madeeha Rehan ◽  
Nadia Arif
Keyword(s):  
Serum Ferritin ◽  
Mean Platelet Volume ◽  
Inflammatory Markers ◽  
Significant Positive Correlation ◽  
Pearson Correlation ◽  
P Value ◽  
Platelet Volume ◽  
Platelet Indices ◽  
Positive Correlation ◽  
The Relationship

Objective: To investigate the relationship between established acute inflammatory markers in COVID-19 patients with Mean platelet volume (MPV) and Platelet large cell ratio (P-LCR). Materials and Methods: This was a retrospective longitudinal study conducted at Fauji Foundation Hospital, Rawalpindi from 10th June to 10th August 2020. Biochemical parameters i.e. CRP, serum ferritin, LDH, and pro-BNP as well as hematological parameters (MPV and P-LCR) were noted once every week during admission of all the COVID-19 positive patients.Data were analyzed using IBM-SPSS version 23. Repeated measure ANOVA using a generalized linear model was done to check the trend of values during the duration of their stay. Pearson Correlation analysis and regression models were estimated to check the relationship of MPV and P-LCR with C- reactive protein, serum Ferritin, LDH, and pro-BNP. P-values less than 0.05 were considered statistically significant. Results: The mean age of the studied group was 55.47 (SD=±15.0) years with the female to male ratio being 2:1. Mean platelet volume showed a statistically significant positive correlation with the established set of inflammatory markers other than pro-BNP with a p-value of less than 0.05.P-LCR however showed a positive correlation with CRP (p-value of less than 0.05) only with no significant correlation with other biochemical markers. Conclusion: MPV is reported on routine complete blood count report (CBC). It is readily available at even the most under-resourced health centers; therefore reporting the platelet indices does not require extra testing, sampling, or reagent cost. A statistically significant positive correlation amongst the established acute inflammatory markers and relatively understudied platelet indices (MPV) in COVID-19 provides a cost-effective, readily available, and time-efficient tool for marking disease progression.

scholarly journals Platelet indices evaluation in patients with dengue fever

2018 ◽  
Vol 6 (6) ◽  
pp. 2054 ◽  
Author(s):  
Payal Mukker ◽  
Smitha Kiran
Keyword(s):  
Platelet Count ◽  
Dengue Fever ◽  
Mean Platelet Volume ◽  
Dengue Infection ◽  
P Value ◽  
Platelet Distribution Width ◽  
Platelet Volume ◽  
Distribution Width ◽  
Platelet Indices ◽  
Significant Difference

Background: Platelet indices (PIs)-Platecrit, mean platelet volume (MPV) and platelet distribution width (PDW)-are a group of platelet parameters obtained as a part of complete blood count using automated hematology analyzers. Evidence suggests that PIs may have diagnostic and prognostic value in febrile thrombocytopenia. This study aims to understand the profile of PIs in dengue fever. Aims and objectives was to study the platelet indices in patients with dengue fever.Methods: The present study is a retrospective observational study conducted in a tertiary hospital in Kerala. Platelet count, mean platelet volume (MPV), platecrit and Platelet distribution width (PDW) along with routine blood parameters hemoglobin(Hb), hematocrit, WBC, Platelet count, serum bilirubin, liver enzymes (AST, ALT) of 123 patients were collected. These 123 patients were grouped into three according to the platelet count (<20000,20000-100000, >100000). All the test results are available in hospital database. This was accessed using inpatient numbers obtained from medical records department of our institution. All analysis was done using free to use software R and values were rounded off to the nearest decimal point. Non normally distributed parameters were expressed as median (IQR). Parameters which did not follow normal distribution were analyzed with Kruskall Wallis test and the values are expressed as mean (SD) and a p value <0.05 was considered statistically significant.Results: Platelet indices PDW (57±13.8 vs. 55.4±6.9, p value 0.001) and MPV (9.2±0.09 vs. 13.8±1.3fL, p value <0.001) values were significantly altered in dengue fever with platelet counts below 20,000 compared to platelet count more than one lakh group. Similarly, the Platelet index (MPVxPDW\PLCxPCT), MPV\PLC, MPV\Platecrit, PDW\PLC and PDW\Platecrit ratio showed statistically significant difference between the different platelet groups.Conclusions: Platelet indices are useful parameters in dengue infection. Other than platelet count, PDW, MPV, platecrit are useful to monitor dengue fever.

The Relationship of the ACCP/SCCM Consensus Conference Classification of Sepsis to Mortality and Multiorgan Dysfunction among Medical ICU Patients

1996 ◽  
Vol 11 (6) ◽  
pp. 326-334 ◽  
Author(s):  
Marin H. Kollef ◽  
Paul R. Eisenberg
Keyword(s):  
Septic Shock ◽  
Severe Sepsis ◽  
Hospital Mortality ◽  
Consensus Conference ◽  
Organ System ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Icu Patients ◽  
Multiorgan Dysfunction

To determine the relation between the proposed ACCP/SCCM Consensus Conference classification of sepsis and hospital outcomes, we conducted a single-center, prospective observational study at Barnes Hospital, St. Louis, MO, an academic tertiary care hospital. A total of 324 consecutive patients admitted to the medical intensive care unit (ICU) were studied for prospective patient surveillance and data collection. The main outcome measures were the number of acquired organ system derangements and hospital mortality. Fifty-seven (17.6%) patients died during the study period. The proposed classifications of sepsis (e.g., systemic inflammatory response syndrome [SIRS], sepsis, severe sepsis, septic shock) correlated with hospital mortality ( r = 0.330; p < 0.001) and development of an Organ System Failure Index (OSFI) of 3 or greater ( r = 0.426; p < 0.001). Independent determinants of hospital mortality for this patient cohort ( p < 0.05) were development of an OSFI of 3 or greater (adjusted odds ratio [AOR], 13.9; 95% confidence interval [CI], 6.4–30.2; p < 0.001); presence of severe sepsis or septic shock (AOR, 2.6; 95% CI, 1.2–5.6; p = 0.002), and an APACHE II score ≥ of 18 or greater (AOR, 2.4; 95% CI, 1.0–5.8; p = 0.045). Intra-abdominal infection (AOR, 19.1; 95% CI, 1.6–230.1; p = 0.011), an APACHE II score ≥ of 18 or greater (AOR, 8.9; 95% CI, 4.2–18.6; p < 0.001), and presence of severe sepsis or septic shock (AOR, 2.9; 95% CI, 1.5–5.4; p = 0.001) were independently associated with development of an OSFI of 3 or greater. These data confirm that acquired multiorgan dysfunction is the most important predictor of mortality among medical ICU patients. In addition, they identify the proposed ACCP/SCCM Consensus Conference classification of sepsis as an additional independent determinant of both hospital mortality and multiorgan dysfunction.

Pengaruh Ekstrak Daun Moringa Oleifera terhadap Mean Platelet Volume dan Neutrophil-To-Lymphocyte Ratio pada Pasien Autoimun

2021 ◽  
Vol 6 (1) ◽  
pp. 355
Author(s):  
Nurhasan Agung Prabowo ◽  
Arief Nurudhin
Keyword(s):  
Rheumatoid Arthritis ◽  
Mean Platelet Volume ◽  
Moringa Oleifera ◽  
Neutrophil To Lymphocyte Ratio ◽  
P Value ◽  
Platelet Volume ◽  
Lymphocyte Ratio

Penelitian ini bertujuan untuk mengetahui pengaruh ekstrak MO terhadap MVP dan NLR pada pasien autoimun. Metode penelitian yang digunakan adalah eksperimental yang dilakukan pada 30 pasien autoimun yang terdiri dari 28 pasien lupus dan 2 pasien rheumatoid arthritis di Poliklinik Reumatologi RSUD Moewardi pada Januari-Juli 2020. Pasien dikelompokkan menjadi dua, yaitu kelompok perlakuan dan kontrol. Pasien kelompok perlakuan mendapat 2gram ekstrak MO per hari, sedangkan pada kelompok kontrol mendapat plasebo. Perlakuan dilakukan selama 4 minggu, Pemeriksaan MPV dan NLR menggunakan haemositometer. Analisis statistik dilakukan dengan menggunakan uji-T berpasangan dan uji-T independen. Nilai p dianggap signifikan ketika p <0,05. Hasil penelitian menunjukkan bahwa MO menurunkan MPV (delta MPV = 4.141; r = 0.656; p = 0.02) dan NLR (delta NLR = 4.1391; r 0.489; p-value = 0.04). dapat disimpulkan MO menurunkan MPV dan NLR pada pasien autoimun.

scholarly journals APHACHE Score as a Predictive Indices for Weanability from Mechanical Ventilation

2013 ◽  
Vol 1 (1) ◽  
pp. 18-22 ◽  
Author(s):  
Md Sayedul Islam
Keyword(s):  
Mechanical Ventilation ◽  
Respiratory Failure ◽  
Private Hospital ◽  
Total Duration ◽  
Apache Ii ◽  
Apache Ii Score ◽  
P Value ◽  
Apache Score ◽  
Number Of Patients ◽  
Weaning Outcome

Objective: To determine the significance of acute physiology and chronic health evaluation (APACHE) score as an important parameter of weaning outcome for mechanical ventilation. Design: prospective, observational. Setting: The medical ICU of a modernized private hospital, Dhaka. Method: The study was carried out during the period of 2008 to 2009 in a specialized private hospital Dhaka. Critical care physicians were asked to filled up the data sheets having detail problem of the patients including the APACHE II score. The APACHE II score is divided into three steps High score>25, Medium score 20-24 and Low score < 20. The clinicians were suggested to predict whether it would take < 3 days or 4to 7days or >8days to wean each patients from mechanical ventilation. The cause of respiratory failure and total duration of weaning were recorded. The significance was set at p<.05. Result: Total number of patients included in this study were 40. Male were 22 (55%) and female were 18 (45%), the mean age of the patients were 51.1±13.9. The most common cause of respiratory failure were COPD 11(24.5%) and next common were pneumonia and ARDS due to sepsis 8 (20%) each. Among the studied population 20 (50%) having low APACHE score (<20), 12 (30%) were medium score (20-24) and 8 (20%) patients were high score (>25). Total 25 (62.5%) of the patients were successfully weaned from mechanical ventilation, 10 (25%) of the patient died and 5 (12.5%) of the patent were shifted to other low cost hospital. The successfully weaned groups 17 (68%) had lower APACHE II score than the unsuccessfully (failure) group which were statistically significant ÷2 =.8546, df =2, p-value >.005. Conclusions: The overall severity of illness as assessed by APACHE II score correlates better with weaning outcome. DOI: http://dx.doi.org/10.3329/bccj.v1i1.14360 Bangladesh Crit Care J March 2013; 1: 18-22

scholarly journals The Characteristics of Mortality Predictor Scoring for Sepsis Patients in Haji Adam Malik Hospital

2021 ◽  
Vol 8 (10) ◽  
pp. 339-344
Author(s):  
Abdul Halim Harahap ◽  
Franciscus Ginting ◽  
Lenni Evalena Sihotang
Keyword(s):  
Sofa Score ◽  
Scoring System ◽  
Scoring Systems ◽  
Developed Countries ◽  
Apache Ii ◽  
Apache Ii Score ◽  
P Value ◽  
Cross Sectional ◽  
Cross Sectional Design ◽  
Score Apache

Introduction: Sepsis is a leading cause of death in the Intensive Care Unit (ICU) in developed countries and its incidence is increasing. Many scoring systems are used to assess the severity of disease in patients admitted to the ICU. SOFA score to assess the degree of organ dysfunction in septic patients. The Acute Physiology and Chronic Health Evaluation II (APACHE II) scoring system is most often used for patients admitted to the ICU. CCI scoring system to assess the effect of comorbid disease in critically ill patients on mortality. The study aimed to describe the characteristics of the use of scoring to predict patients’ mortality admitted to Haji Adam Malik Hospital. Methods: This is an observational study with a cross-sectional design. A total of 299 study subjects met the inclusion criteria and exclusion criteria, three types of scoring, namely SOFA score, APACHE II score, and CCI score were used to assess the prognosis of septic patients. Data analysis was performed using SPSS. P-value <0.05 was considered statistically significant. Results: A total of 252 people (84.3%) of sepsis patients died. The mean age of the septic patients who died was 54.25 years. The SOFA score ranged from 0-24, the median SOFA score in deceased sepsis patients was 5.0. The APACHE II score ranged from 0-71, the median APACHE II score in deceased sepsis patients was 23.0. The CCI score ranged from 0-37, the median CCI score in deceased sepsis patients was 5.0. Conclusion: Higher scores are associated with an increased probability of death in septic patients. Keywords: Sepsis; mortality predictor; SOFA score; APACHE II score, CCI score.

scholarly journals A pattern of platelet indices as a potential marker for prediction of pre-eclampsia among pregnant women attending a Tertiary Hospital, Ethiopia: A case-control study

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259543
Author(s):  
Solomon Gebre Bawore ◽  
Wondimagegn Adissu ◽  
Berhanu Niguse ◽  
Yilma Markos Larebo ◽  
Nigussie Abebe Ermolo ◽  
...  
Keyword(s):  
Platelet Count ◽  
Pregnant Women ◽  
Mean Platelet Volume ◽  
Case Control Study ◽  
Case Control ◽  
Platelet Distribution Width ◽  
Platelet Volume ◽  
Distribution Width ◽  
Platelet Indices ◽  
Control Study

Introduction Preeclampsia is the most serious health risk during pregnancy for both the mother and the fetus. Even though platelet parameters are among the proposed biomarkers for the prediction of preeclampsia, the use of its indices in the diagnosis of preeclampsia is not increasing in Ethiopia. There is little information on platelet patterns in preeclampsia and normal pregnancy. The purpose of this study was to determine the pattern of platelet indices in women with preeclampsia in our study setting. Methods A case-control study was conducted among 180 pregnant women who attended anti-natal follow-ups from January 1 to April 3, 2019. An Ethylene Diamine Tetra Acetic Acid anti-coagulated venous blood was collected and analyzed using a hematology analyzer (MINDRAY®-BC-300Plus, Shenzhen China). The SPSS software version 26 was used to run the Mann Whitney U test, Kruskal-Wallis H test, and Kolmogorov-Smirnov normality test, Post-hock test augmented with Benforeni, receiver operating characteristics curve, and Spear Man rank-order correlation. A P-value of <0.05 was considered statistically significant. Results A total of 180 pregnant women were included in the study. Platelet count and platelet crit levels tend to decrease as pre-eclampsia becomes more severe. In contrast, the mean platelet volume and platelet distribution widths were significantly increased with the severity of preeclampsia (P<0.001). Platelet distribution width (rho = 0.731, p<0.001) and mean platelet volume (rho = 0.674, p<0.001) had statistically significant positive relationships with mean arterial pressure. The best metric for predicting preeclampsia was platelet distribution width (AUC = 0.986; 95%CI; 0.970, 1). Conclusions Platelet indices, including platelet count, mean platelet volume, platelet distribution width, and Platelet crit, have been identified as promising candidate markers for predicting preeclampsia in pregnant women. In the future, a serial examination of these indicators during several trimesters of pregnancy should be conducted.

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