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Open Access Full Text Article Research Article
Estimation of Protein / Creatinine Ration in Pre Eclampsia with Single Voided Urine Sample Compare with 24 Hours Urine Protein
Khatun Tarannum1*, Ghimire Kritanjali1, Alam Shahid2
1 Department of Obstetrics & Gynaecology, National Medical College & Teaching Hospital, Birgunj, Nepal
2 Department of Surgery, National Medical College & Teaching Hospital, Birgunj, Nepal
|
Article Info: _________________________________________ Article History: Received 19 April 2021 Reviewed 21 May 2021 Accepted 27 May 2021 Published 15 June 2021 _________________________________________ Cite this article as: Khatun T, Ghimire K, Alam S, Estimation of Protein / Creatinine Ration in Pre Eclampsia with Single Voided Urine Sample Compare with 24 Hours Urine Protein , Journal of Drug Delivery and Therapeutics. 2021; 11(3-S):35-47 DOI: http://dx.doi.org/10.22270/jddt.v11i3-S.4825 _________________________________________ *Address for Correspondence: Dr. Tarannum Khatun, Department of Obstetrics & Gynaecology, National Medical College Teaching Hospital, Birgunj, Nepal. Email: drtarannumnp@gmail.com |
Abstract ______________________________________________________________________________________________________ Background: Preeclampsia is characterized by hypertension and proteinuria with the onset after 20 weeks of gestation. Globally 14.5% of maternal death is due to preeclampsia with fetal complications. National Record of Family Health Division Nepal shows prevalence rate of preeclampsia as 8.5%. The gold standard 24 hours urine protein evaluation test is time consuming for the diagnosis of preeclampsia and can increase complications to mother and fetus. Instant diagnosis and prompt management is needed. Objective of this study was to determine the accuracy of urinary protein/creatinine (P/C) ratio test and correlate random urinary (P/C) ratio with twenty-four hours urinary protein in detecting preeclampsia. Methods: A cross sectional study was carried out conveniently selecting 130 samples of preeclampsia from Obstetrics and Gynaecology Department of National Medical College Teaching Hospital, Birgunj, Nepal. Out of 130 samples all met the inclusion criteria. Both twenty-four hours urine protein and P/C ratio were performed for each case. Correlation between two tests and accuracy of the test was performed using SPSS V 16. Results: This study showed protein creatinine ratio is as capable as 24 hours protein urine to diagnose pregnant mother with preeclampsia. Spot P/C ratio provides effortless result with high validity and reliability. Conclusion: This study showed protein creatinine ratio is as capable as 24 hours protein urine to diagnose pregnant mother with preeclampsia. Spot P/C ratio provides effortless result with high validity and reliability. Keywords: Preeclampsia, 24 hours urinary protein, Receiver Operator characteristic curve (ROC), Area under the curve (AUC) |
INTRODUCTION
Preeclampsia is the most common medical complication of pregnancy. It is a multisystem disorder among pregnant women of gestational age more than 20 weeks which is associated with reduced organ perfusion resulting from vasospasm and endothelial activation with systolic and diastolic blood pressure more than 140 and 90 mm of Hg respectively measured in two different episodes (four hours apart) in previously normotensive woman, along with proteinuria ≥300mg/day on 24 hours urine protein excretion or P/C ratio ≥ 0.3 or Dipstick +1 persistent in random urine sample .[1]
Evolution in the medical field over many decades has comparatively declined morbidity and mortality but still even after medical advancement preeclampsia is prime cause for the maternal mortality and morbidity. Many epidemiological clinical studies have been conducted worldwide, still the prevalence of clinical preeclampsia remains difficult to determine. Preeclampsia comprise of 2 to 8% of all pregnancies.[2] WHO explains about 14.5% of maternal deaths are encountered due to hypertensive disorders in pregnancy in southeast asia.[3] Preeclampsia/eclampsia (18.2%) is the third leading cause of maternal mortality after obstetric hemorrhage (38.6%) and infection during pregnancy (26.4%) in low and middle-income countries.[4] In rural Nepal preeclampsia is considered as one of the leading cause of maternal mortality.[5] It also affects fetus with poor fetal outcome leading to preterm delivery and intrauterine growth retardation (IUGR) which eventually increases fetal mortality.[6],[7]
In preeclampsia, etiology and pathophysiology remain unknown. According to various hypothesis postulated abnormal and incomplete trophoblastic invasion of the spiral arteries, endogenous hormones, nutrition, immunological factors, familial history are the major etiology identified. Preeclampsia is a result of severe vasospasm and endothelial dysfunction consecutively it leads to reduction in utero placental circulation, reduced renal and cerebral perfusion. In normal pregnancy, reduction of renal afferent and efferent resistance leads to increased glomerular filtration rate (GFR) and increased renal blood flow. Whereas in preeclampsia , increased resistance in renal afferent arterioles leads to decrease in GFR and renal blood flow. Consecutively, spasm of afferent arterioles of glomerulus leads to the increase excretion of urinary protein leading to glomerular endotheliosis. Changes in the endothelium and increased capillary permeability results in more protein leakage.2,[8]
Proteinuria is the urinary excretion of protein measured by various quantification method which has a diagnostic and prognostic importance and is used in assessment of the effectiveness of management strategies. Degree of proteinuria is the indicative marker for the renal involvement. Proteinuria is a criteria to classify the severity of preeclampsia.[9] Proteinuria denotes considerable possibility of both fetal and maternal complications. Therefore, early detection and prompt diagnosis is important for maternal and fetal outcome.
The gold standard technique to quantify total urinary protein is by measurement of urinary protein collected over 24 hours.[10] Excretion of urinary protein more than 300 mg over 24 hours collection is considered proteinuria for preeclampsia. In preeclamptic patients main justifying reason behind 24 hours urinary collection is change in urinary protein concentration which might not quantify actual concentration of protein by random urine collection. Although it is the gold standard test there are some demerits. It is time consuming, patient compliance is less which limits its clinical usefulness. During 24 hours of duration patient sometime deliver before completion of the whole procedure.[11],[12]
Urinary dipstick is another method to detect proteinuria from random voided urinary samples. It is commonly used screening method to quantify urinary protein amount with prompt , effortless and valid result.[13] It is a simple process with sensitivity up to 97% shown in one of the study,[14] whereas other study suggest dipstick as faulty predictor of 24 hours urinary protein.[15] However, there is limited evidence and comparison between these tests in our literature.
Urinary protein/creatinine (P/C) ratio has been well established diagnostic tool for the measurement of proteinuria.[16] Single voided urinary P/C ratio is adopted since it is considered that protein and creatinine are two content that will cancel out the time factor therefore gives result equivalent to 24 hours urinary protein.[17] This test has a merit that it is accurate, removes sampling error since only a single specimen is required and can be done in any trimester. Regarding quantifying the proteinuria some studies has concluded P/C ratio quantified from random urine correlated excellently with 24 hours urinary protein.[18],[19]
Preeclampsia has been life-threatening to the patient with adding extra economic burden. Taking 24 hours in detection can increase morbidities and mortalities. Early detection and prompt diagnosis can save both maternal and child outcome. However, there is limited research on trustworthiness of random urine P/C ratio. This study would provide clear evidence to make evidence-based policy regarding use of single random urine P/C ratio. Therefore, this study was conducted to quantify the P/C ratio in single urine which predicts amount of protein and compare the value with 24 hours urinary protein in patients with preeclampsia and its complications.
Main aim to this studies to determine the relation of random urinary P/C ratio and 24 hours urinary protein in detecting proteinuria among pregnant women with preeclampsia.
And to correlate random urinary P/C ratio with 24 hours urinary protein in detecting proteinuria among pregnant women with preeclampsia.
To find the accuracy of P/C ratio in random urine samples for quantification of proteinuria among the pregnant women with preeclampsia.
MATERIAL AND METHOD
This is Quantitative and Cross-sectional study
Study population/ sampling frame
Study Site
Sample size
n = sample size
Z = level of confidence at 95 % (1.96)
P = Prevalence (8.5%) 5
d = degree of freedom 5%
Inclusion criteria
Exclusion criteria
Pregnant women with;
Study variables
Duration of study
Screening for Proteinuria
Patients admitted to the ward with blood pressure more than 140 mm Hg systolic and 90 mm Hg diastolic and bedside dipstick test was done in which paper strip is impregnated with indicator dye (bromocresol green) which changes colour in presence of protein. Sequential colour change occurs with increasing concentration. Protein by dipstick is graded as follows;
Patient with hypertension and proteinuria ≥+1 met the inclusion criteria were selected for the study. After a detailed explanation, a written informed consent was taken, and the patients were enrolled. Patient were evaluated by recording demographic profile, detailed history, general physical and systemic examination including obstetrics examination was done .
Method of Blood Pressure Measurement
Blood pressure of the patient was taken at Obstetrics and Gynaecology OPD and was repeated after admission after duration of 4 hours, measured on both arms, on sitting as well as after lying down in lateral position.
Urine Sample Collection Technique
Table 4: Normal values of protein excretion
|
|
24 hours urinary protein (mg/24 hours) |
Protein/Creatinine ratio |
|
Negative |
<300 |
<0.3 |
|
Clinically significant proteinuria |
>300 |
>0.3 |
Statistical analysis
Data analysis: Data was entered in microsoft excel and transferred to SPSS 16. Frequency distribution tables and necessary graphs were used for data interpretation. Pearson’s correlation coefficient was used to calculate the relation between P/C Ratio and 24 hour urine protein. Scattered diagram was used to show relation between P/C Ratio and 24 hours urinary protein. ROC curve was used to identify the best cutoff of P/C Ratio to test accuracy of P/C ratio with 24 hours proteinuria. Sensitivity (true positive) and specificity (true negative), PPV, NPV and accuracy were calculated at the determined cutoff value of P/C ratio. Difference was considered statically significant when the p value was less than 0.05.
Ethical Consideration
Ethical approval was obtained from Institutional Review Committee (IRC), National Medical College prior to my study on 16th July 2018. After taking permission from the Department, study was began from 17th July 2018. Patients were explained about the purpose, risk and benefits, and protocol of the study in understandable language to the patients before enrolling. It was clearly informed that their data would be confidential, and they had the right to refuse the question or refuse participation at any time during the study. Fortunately, no one refused any question and participation. After explaining about the study and prior collecting the relevant information, informed written consent (in Nepali) was taken from the nearest relative with agreement of patient.
RESULT
This study used Urinary dipstick test ≥+1 for initial diagnosis of proteinuria in preeclampsia. The total sample size was 130 patients meeting the inclusion criteria (Hypertension and Proteinuria ≥+1 on urinary dipstick) were enrolled in the study . Then after enrollment patients were subjected to measure urine P/C ratio and 24 hours urinary protein.
Sociodemographic
Table 5: Illustrating Descriptive statistics
|
Minimum |
Maximum |
Mean |
Std. Deviation |
|
|
Age |
18 YEARS |
37 YEARS |
25.2 |
3.9 |
|
BMI |
18.5 KG/M2 |
30.3KG/M2 |
23.4 |
2.8 |
|
Urinary P/C ratio |
0.07 |
2.1 |
0.6 |
0.4 |
|
24HRS URINE PROTEIN |
136MG/24HRS |
2876MG/24HRS |
690.5 |
531.8 |
Age: The minimum age of the patient was 18 years and maximum age was 37 years with mean age of 25.2 years (SD±3.9)
BMI: The minimum BMI of a patient was 18.5 and maximum was 30.3 Kg/m2. Mean BMI was 23.4 (SD±2.84)
24 Hours Urine Protein: Minimum was 136 mg/24 hours and maximum was 2876 mg/24hours. Mean was 690.5 (SD ±531.8). Out of which 105 patient had proteinuria >300mg/24hours and 25 patient had proteinuria <300mg/24 hours. Though 25 patient had 24 hour urinary protein <300mg but these patient met the inclusion criteria of hypertension and urinary dipstick proteinuria of ≥+1.
Urinary P/C ratio: The minimum urinary P/C ratio was 0.07 and maximum was 2.1. Mean was 0.6 (SD±2.8). 130 patient who were selected for the study all fullfilled and met the inclusion criteria (Hypertension and proteinuria ≥+1) and then were subjected to check urinary P/C ratio which showed variable range of ratio.
The minimum age of the patient was 18 years and maximum age was 37 years with mean age of 25.2 years (SD±3.9). Figure 5 shows distribution of patients by age group majority 65(50%) were between 25-29years, 46 (35.4%) were between 20 -24 years age group, 7(5.4%) were <20 years, remaining 6(4.6%) were of age group 30-34years and >35years.
Around two third (88, 67.7%) of total sample were primigravida whereas remaining (42, 32.3%) were multigravida.
Range of BMI is 18.5 to 30.3 Kg/m2. Mean BMI was 23.4 (SD±2.84). Majority (92, 70.8%) lies between 18.5-24.9 Kg/m2 followed by 25 to 29.9 Kg/m2 (34, 26.2%) and above 30 Kg/m2 were (4,3.1%).
Among 130 participants, range was 0.07 to 2.1 with the average of 0.6 (SD±0.4). Spot P/C ratios were categorized into five groups, where majority 40 (30.8%) lies in between 0.1-0.3 , followed by >0.51 to 1 (36 27.7%), followed by 33(25.4%) between 0.31 to 0.5 and remaining 19 (14.6%) were >1. Among five groups, lowest was between 0.01-0.1 2(1.5%). All 130 patients met the inclusion criteria of hypertension and urinary dipstick proteinuria of ≥+1 therefore were included in studies.
From our study, range of proteinuria among participants was 136 to 2876 mg per 24 hours with average of 690.5 mg per 24 hours with . From our study, majority of 105 (80.8%) had proteinuria more than or equal to 300 mg per 24 hours and remaining 25 (19.2%) were <300mg per 24 hours. Though 25 patient had 24 hour urinary protein <300mg but these patient met the inclusion criteria of hypertension and urinary dipstick proteinuria of ≥+1.
Out of 130 participants, 90 (69%) had IUGR and 40(31%) no IUGR.
Table 6: Pearson correlation coefficient between protein creatinine ratio and 24 hours urine protein with P value
|
Pearson Correlation (r ) |
0.943 |
|
P value |
<0.001 |
It shows that there is significant positive relationship between 24 hours urine protein and urine protein creatinine ratio. As Pearson Correlation (r) = 0.943 which represents that there is a strong positive correlation between two variables since the result is closer to +1. P value being <0.001 represent that the variables are statically significant.
Table 7: Two by two table between spot protein creatinine ratio and 24 hours urine protein
|
24 hours protein urine |
|||||
|
Spot Protein Creatinine Ratio |
|
>=300 |
<300 |
Total |
|
|
>=0.31 |
87(True Positive) |
1(False Positive) |
88 |
|
|
|
<0.31 |
18(False Negative) |
24 (True Negative) |
42 |
|
|
|
Total |
105 |
25 |
130 |
|
|
Here, spot P/C ratio was analyzed considering 24 hours protein urine as gold standard test. From the table,
sensitivity = = 82.85%,
specificity = = = 96%,
positive predictive value = =98.86%
negative predictive value = = = 57.14%.
Accuracy= =85.38%
ROC analysis
Table 8: Test variable result of Protein creatinine ratio with area under the curve , prevalence, cutoff of PCR along with sensitivity, specificity ,PPV,NPV and accuracy
|
Area |
Std. Error |
p |
95% Confidence Interval |
cutoff |
Sensitivity |
Specificity |
PPV |
NPV |
Accuracy |
|
|
Lower |
Upper |
|||||||||
|
0.938 |
0.021 |
<0.001 |
0.897 |
0.979 |
0.31 |
82.9 |
96 |
98.9 |
57.1 |
85.4 |
Test was also triangulated from ROC curve and result of Area Under Curve (AUC) . In the ROC curve as shown in graph, Y axis represents sensitivity which represents the true positive result and also called true positive rate whereas, X axis represents 1 – specificity which represents the false positive result and also called false positive rate. SPSS gave curve against the axis. Curve nearer to upper left corner shows sensitivity and specificity. From the graph, curve pointed to upper left corner gave same findings given in two by two table above. From the graph and table AUC was 0.938 which is closer to maximum (1) with the level of significance <0.001. Our cut off value was 0.31
From the two by two table proportion correctly classified (accuracy) was found to be 85.4%.
One of the most common problems faced by pregnant women. Preeclampsia is the major cause of maternal mortality and morbidity. Measurement of blood pressure and significant amount of proteinuria are the important criteria for preeclampsia. Measuring 24 hours urinary protein is considered as the gold standard and definitive method to quantify the proteinuria. However it is considered time consuming and troublesome, waiting for result of 24 hours urinary protein collection leads to delay diagnosis of pre eclampsia. Quantifying the proteinuria via simple and reliable test is required. Though urinary Dipstick for protein is simple bedside method, it has been criticized because it is a poor predictor for significant proteinuria for diagnosis of pre eclampsia. For quantitative analysis of proteinuria protein creatinine ratio is considered good and correlates well with 24 hours urinary protein.
This study was done to find the correlation between protein creatinine ratio and 24 hours proteinuria and find the accuracy of the test among the pregnant mother with pre-eclampsia.
Age
This study shows that the age group of the patients ranged from 18 to 37 years. The majority 50% come under the age group of 25-29 years. The mean age is 25.2 years with (SD±3.9). Finding were similar to that of Durnwald30 with mean age of 26.1 years, Kumari et al with mean age 24.3 years . Contrast to this study none of the cases were more than 40, who could have both higher risk of preeclampsia and complication to maternal and fetus.5,20
Parity/Gravida
This study found that preeclampsia was more common among primigravida. It was more than two third of the total sample. Other studies also identified same results. A systematic review illustrates same findings done by Duckitt and Harrington, which mentioned that primigravida is more at risk of preeclampsia than multigravida by 2.91 folds (Range 1.28 to 6.61).22 This may be explained by hypothesis by immunogenicity to maternal first exposure to chorionic villi of fetal origin. Bdolah Y el al also stated that nulliparous women have an increased risk of developing preeclampsia with hypothesis of relatively higher circulating anti angiogenic levels with higher levels of circulating sFlt1 in nullipara.23
But in contrast to that, a systemic review and meta-analysis done in Ethiopia by Berhe et al. pointed out a fact that there is no association between gravida and hypertension in pregnancy with odds ratio of 1.37.22.
BMI
In present study, mean BMI was 23.4 (SD±2.84), majority (70.8%) of patient lies between 18.5-24.9 kg/m2 which is categorized as normal , overweight lies between 25-29.9 were 26.2% and remaining 3.1% were class I obese according to WHO classification. Contrast to present study findings Systemic analysis and meta-analysis done by Duckitt et al. showed that with BMI 25 Kg/m2 before pregnancy can results in preeclampsia with the odds ratio 2.47.22 Similarly Ramos et al also showed BMI ≥ 25.8 has relative risk of 2.3-2.7.21 However, this study has collected BMI at pregnancy and limits the clear evidence.
IUGR
Out of 130 patients, 90 (69%) had IUGR and 40 (31%) has no IUGR. Similar to this study , study conducted by Weiler et al shows preeclamptic women who delivered growth restricted child were 79% diagnosed IUGR antenatally and remaining 11% were not growth restricted.(p,0.0001).26 Studies have showed that higher the proteinuria higher the chances of high maternal and fetal complication.
In contrast to that, Melese et al. differentiated outcomes as favorable (53.5%) and non-favorable (45.5%), then enlisted out the unfavorable outcomes out of which stillbirth accounted 22%, low birth weight 13%, low apgar score 10.8%, low birth weight 10.8%, birth asphyxia 10.1 %, abortions 8.9%, IUGR 4.4%.25
There are high chances of IUGR with pre-eclampsia, in which obstetrics clinician must be watchful regarding growth retardation when patient with pre-eclampsia comes.27More delay in collecting urinary protein would take mother and child at risk zone.
Correlation and accuracy of diagnostic test with 24 hours urine protein
This study showed linear positive relationship between protein creatinine ratio and 24 hours urine protein with the Pearson’s correlation coefficient r (130) was 0.943. This shows there is strong positive correlation between protein creatinine ratio and 24 hours urine protein since the result is closer to 1.
ROC curve analysis was done mainly to evaluate the accuracy of the test and this study revealed P/C ratio had sensitivity of 82.86%, specificity 96%, positive predictive value 98.9% and negative predictive value 57.1% with the accuracy of 85.4%. It also gave the cutoff point of P/C ratio as 0.31 along with AUC 0.938 which is closer to 1 represents excellent data analysis.
Similar to this study, Kucukgoz et al studied patient in 3 groups for gestational hypertension, preeclampsia and severe preeclampsia for P/C ratio and 24 hours urine protein. In patients with pre eclampsia gave the correlation coefficients (r) = 0.814 with p value <0.001 which concludes the good correlation between P/C ratio and 24 hours urine protein.34
Another study, Valdes et al. , conducted, a study in preeclampsia which shows significant correlation with r=0.6 (p<0.001) between two variables (24 hours urine protein and protein creatinine ratio). In the same study, best P/C ratio was 0.36 for the diagnosis of pre-eclampsia with PPV 96.4% and AUC 0.8802.28
Similar to this study , a study conducted by Shahbazian and Hosseini conducted a study in 81 patients with preeclampsia to determine proteinuria in comparison with spot P/C ratio and 24 hours urinary protein. Study shows a strong correlation between spot P/C ratio and 24 hours urinary protein with Pearson coefficient ( r)=0.84 (P<0.001). The cutoff point for spot P/C ratio at 0.20. The sensitivity , specificity , PPV, NPV were 91.2%, 87.8%, 94.4% and 96.8% respectively.31
Similarly, for same tests, Robert et al., showed strong correlation (r=0.94) with sensitivity, specificity, PPV and NPV of 93%, 90%, 87 and 95% respectively at >300 mg proteinuria. But for >5000 mg proteinuria, it showed 100%, 99%, 75% and 99% respectively (Robert et al). It showed with high proteinuria, P/C ratio test would be more accurate. These findings were similar to our study.29
Study done by Demirci et al.33, found good 0.758 correlation coefficient (r) between the two variables and find 0.97 AUC with 91% sensitivity, 95.4% specificity, 95.2% PPV and 91.2% NPV whereas, Hossain et al., showed r= 0.81 with P <0.000 and 82% sensitivity and 79% specificity with cut-off value at 0.14 for 300mg per 24 hours.32
In contrast to these studies, studies done by Durnwal and Mercer, Soni et al., Kayatas et al., and Montero et al., concluded that P/C ratio is not a perfect diagnostic test for pre-eclampsia. All of them showed poor correlation between two tests. They showed poor PPV, NPV, sensitivity and specificity with different protein levels. Durnwal and Mercer showed r2 = 0.41 with positive predictive value of 85.5% and negative predictive value of only 47.5% with sensitivity 81%.35 Aggarwal et al., showed NPV of only 29.2% with sensitivity 72% and specificity 75%.26 Similarly, Kayatas et al. showed 60% sensitivity 60%, 78% specificity, 78% PPV and 61% NPV.27 Moreover, Montero et al., found poor correlation with <300 mg (r = 0.498).28
Table 9: Comparison between this studies with other studies
Studies |
Correlation coefficient ( r) |
P-value |
Kucukgoz et al (2017) |
0.814 |
<0.001 |
Valdes et al (2016) |
0.6 |
<0.001 |
Demirci et al (2015) |
0.758 |
<0.001 |
Shahbazian and Hosseini (2008) |
0.84 |
<0.001 |
Robert et al(1997) |
0.94 |
<0.001 |
This study |
0.943 |
<0.001 |
Multiple studies on same topic done around the globe have shown chances of both high and low accuracy of the tests. Majority of the studies have stressed on spot urine P/C ratio’s capacity of predicting correctly as done by 24 hours urinary protein test.
This study showed positive correlation (r = 0.943) between spot protein creatinine ratio and 24 hours urine protein, with 82.9% sensitivity and 96% specificity. Hence, this test can be used during emergency condition to save life of mother and child with instant test and prompt decision. Pregnant women with suspected preeclampsia can be assessed by taking spot protein creatinine ratio to save life. For the true positive, test would show nearly correct result. But for negative cases, there are chances of incorrect diagnosis by the test.
This study showed protein creatinine ratio is as capable as 24 hours protein urine to diagnose pregnant mother with preeclampsia. Spot P/C ratio provides effortless result with high validity and reliability.
Apart from this study, various studies have recommended to use protein creatinine ratio as an alternative for 24 hours urine protein in an emergency. This test may not be considered gold standard as sample size may not be representative and study design was cross-sectional. So, present study further recommends conducting randomized control trial (RCT) in the settings like rural Nepal, so that it can get strong results and implement it efficiently.