Evaluation of Platelet Count’s Role in the Prediction of Pregnancy-Induced Hypertension
Abstract Pregnancy-induced hypertension (PIH) is the main pregnancy-specific disease that causes maternal and perinatal death. In recent years, active treatment of pre-eclampsia after 34 weeks of gestation has resulted in good maternal and perinatal outcomes, but the treatment of early-onset pre-ecl...
Ausführliche Beschreibung
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| Autor*in: |
Hailu, Molla [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: SN comprehensive clinical medicine - [Cham] : Springer International Publishing, 2019, 5(2023), 1 vom: 05. Juni |
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| Übergeordnetes Werk: |
volume:5 ; year:2023 ; number:1 ; day:05 ; month:06 |
| Links: |
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| DOI / URN: |
10.1007/s42399-023-01481-5 |
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| Katalog-ID: |
SPR051805898 |
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| 520 | |a Abstract Pregnancy-induced hypertension (PIH) is the main pregnancy-specific disease that causes maternal and perinatal death. In recent years, active treatment of pre-eclampsia after 34 weeks of gestation has resulted in good maternal and perinatal outcomes, but the treatment of early-onset pre-eclampsia patients is still unsatisfactory. So the prediction of PIH has become a research hot spot. Therefore, this study attempted to evaluate if a change in platelet count during pregnancy can be used to predict the development of PIH. A comparative cross-sectional study was conducted among 30 healthy normotensive pregnant women and 30 women with PIH. Face-to-face interviews’ using a structured questionnaire and physical examination supplemented with laboratory investigations were used for data collection. Statistical data analysis was done using an independent t-test, linear regression, and one-way ANOVA. The ROC curve was used to determine the optimal cut-off point of platelet count for the prediction of the development of PIH. The mean platelet count in the case was found to be 154.87 (± 42.56) × $ 10^{3} $/µL while in controls the mean platelet count was 273.47 (± 34.08) × $ 10^{3} $/µL. The ROC analysis showed that platelet count < 225 × $ 10^{3} $/µL was a cut-off point to differentiate whether the pregnant women develop PIH or not with a sensitivity of 96.7% and specificity of 90%. In conclusion, a decrease in platelet count was significantly associated with the development and severity of PIH. | ||
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10.1007/s42399-023-01481-5 doi (DE-627)SPR051805898 (SPR)s42399-023-01481-5-e DE-627 ger DE-627 rakwb eng Hailu, Molla verfasserin (orcid)0000-0003-1769-5198 aut Evaluation of Platelet Count’s Role in the Prediction of Pregnancy-Induced Hypertension 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Pregnancy-induced hypertension (PIH) is the main pregnancy-specific disease that causes maternal and perinatal death. In recent years, active treatment of pre-eclampsia after 34 weeks of gestation has resulted in good maternal and perinatal outcomes, but the treatment of early-onset pre-eclampsia patients is still unsatisfactory. So the prediction of PIH has become a research hot spot. Therefore, this study attempted to evaluate if a change in platelet count during pregnancy can be used to predict the development of PIH. A comparative cross-sectional study was conducted among 30 healthy normotensive pregnant women and 30 women with PIH. Face-to-face interviews’ using a structured questionnaire and physical examination supplemented with laboratory investigations were used for data collection. Statistical data analysis was done using an independent t-test, linear regression, and one-way ANOVA. The ROC curve was used to determine the optimal cut-off point of platelet count for the prediction of the development of PIH. The mean platelet count in the case was found to be 154.87 (± 42.56) × $ 10^{3} $/µL while in controls the mean platelet count was 273.47 (± 34.08) × $ 10^{3} $/µL. The ROC analysis showed that platelet count < 225 × $ 10^{3} $/µL was a cut-off point to differentiate whether the pregnant women develop PIH or not with a sensitivity of 96.7% and specificity of 90%. In conclusion, a decrease in platelet count was significantly associated with the development and severity of PIH. Eclampsia (dpeaa)DE-He213 Platelet (dpeaa)DE-He213 Pre-eclampsia (dpeaa)DE-He213 Pregnancy-induced hypertension (dpeaa)DE-He213 Abebe, Yekoye aut Amsalu, Hailemariam aut Enthalten in SN comprehensive clinical medicine [Cham] : Springer International Publishing, 2019 5(2023), 1 vom: 05. Juni (DE-627)1037103696 (DE-600)2947252-0 2523-8973 nnns volume:5 year:2023 number:1 day:05 month:06 https://dx.doi.org/10.1007/s42399-023-01481-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2023 1 05 06 |
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10.1007/s42399-023-01481-5 doi (DE-627)SPR051805898 (SPR)s42399-023-01481-5-e DE-627 ger DE-627 rakwb eng Hailu, Molla verfasserin (orcid)0000-0003-1769-5198 aut Evaluation of Platelet Count’s Role in the Prediction of Pregnancy-Induced Hypertension 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Pregnancy-induced hypertension (PIH) is the main pregnancy-specific disease that causes maternal and perinatal death. In recent years, active treatment of pre-eclampsia after 34 weeks of gestation has resulted in good maternal and perinatal outcomes, but the treatment of early-onset pre-eclampsia patients is still unsatisfactory. So the prediction of PIH has become a research hot spot. Therefore, this study attempted to evaluate if a change in platelet count during pregnancy can be used to predict the development of PIH. A comparative cross-sectional study was conducted among 30 healthy normotensive pregnant women and 30 women with PIH. Face-to-face interviews’ using a structured questionnaire and physical examination supplemented with laboratory investigations were used for data collection. Statistical data analysis was done using an independent t-test, linear regression, and one-way ANOVA. The ROC curve was used to determine the optimal cut-off point of platelet count for the prediction of the development of PIH. The mean platelet count in the case was found to be 154.87 (± 42.56) × $ 10^{3} $/µL while in controls the mean platelet count was 273.47 (± 34.08) × $ 10^{3} $/µL. The ROC analysis showed that platelet count < 225 × $ 10^{3} $/µL was a cut-off point to differentiate whether the pregnant women develop PIH or not with a sensitivity of 96.7% and specificity of 90%. In conclusion, a decrease in platelet count was significantly associated with the development and severity of PIH. Eclampsia (dpeaa)DE-He213 Platelet (dpeaa)DE-He213 Pre-eclampsia (dpeaa)DE-He213 Pregnancy-induced hypertension (dpeaa)DE-He213 Abebe, Yekoye aut Amsalu, Hailemariam aut Enthalten in SN comprehensive clinical medicine [Cham] : Springer International Publishing, 2019 5(2023), 1 vom: 05. Juni (DE-627)1037103696 (DE-600)2947252-0 2523-8973 nnns volume:5 year:2023 number:1 day:05 month:06 https://dx.doi.org/10.1007/s42399-023-01481-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2023 1 05 06 |
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10.1007/s42399-023-01481-5 doi (DE-627)SPR051805898 (SPR)s42399-023-01481-5-e DE-627 ger DE-627 rakwb eng Hailu, Molla verfasserin (orcid)0000-0003-1769-5198 aut Evaluation of Platelet Count’s Role in the Prediction of Pregnancy-Induced Hypertension 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Pregnancy-induced hypertension (PIH) is the main pregnancy-specific disease that causes maternal and perinatal death. In recent years, active treatment of pre-eclampsia after 34 weeks of gestation has resulted in good maternal and perinatal outcomes, but the treatment of early-onset pre-eclampsia patients is still unsatisfactory. So the prediction of PIH has become a research hot spot. Therefore, this study attempted to evaluate if a change in platelet count during pregnancy can be used to predict the development of PIH. A comparative cross-sectional study was conducted among 30 healthy normotensive pregnant women and 30 women with PIH. Face-to-face interviews’ using a structured questionnaire and physical examination supplemented with laboratory investigations were used for data collection. Statistical data analysis was done using an independent t-test, linear regression, and one-way ANOVA. The ROC curve was used to determine the optimal cut-off point of platelet count for the prediction of the development of PIH. The mean platelet count in the case was found to be 154.87 (± 42.56) × $ 10^{3} $/µL while in controls the mean platelet count was 273.47 (± 34.08) × $ 10^{3} $/µL. The ROC analysis showed that platelet count < 225 × $ 10^{3} $/µL was a cut-off point to differentiate whether the pregnant women develop PIH or not with a sensitivity of 96.7% and specificity of 90%. In conclusion, a decrease in platelet count was significantly associated with the development and severity of PIH. Eclampsia (dpeaa)DE-He213 Platelet (dpeaa)DE-He213 Pre-eclampsia (dpeaa)DE-He213 Pregnancy-induced hypertension (dpeaa)DE-He213 Abebe, Yekoye aut Amsalu, Hailemariam aut Enthalten in SN comprehensive clinical medicine [Cham] : Springer International Publishing, 2019 5(2023), 1 vom: 05. Juni (DE-627)1037103696 (DE-600)2947252-0 2523-8973 nnns volume:5 year:2023 number:1 day:05 month:06 https://dx.doi.org/10.1007/s42399-023-01481-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2023 1 05 06 |
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10.1007/s42399-023-01481-5 doi (DE-627)SPR051805898 (SPR)s42399-023-01481-5-e DE-627 ger DE-627 rakwb eng Hailu, Molla verfasserin (orcid)0000-0003-1769-5198 aut Evaluation of Platelet Count’s Role in the Prediction of Pregnancy-Induced Hypertension 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Pregnancy-induced hypertension (PIH) is the main pregnancy-specific disease that causes maternal and perinatal death. In recent years, active treatment of pre-eclampsia after 34 weeks of gestation has resulted in good maternal and perinatal outcomes, but the treatment of early-onset pre-eclampsia patients is still unsatisfactory. So the prediction of PIH has become a research hot spot. Therefore, this study attempted to evaluate if a change in platelet count during pregnancy can be used to predict the development of PIH. A comparative cross-sectional study was conducted among 30 healthy normotensive pregnant women and 30 women with PIH. Face-to-face interviews’ using a structured questionnaire and physical examination supplemented with laboratory investigations were used for data collection. Statistical data analysis was done using an independent t-test, linear regression, and one-way ANOVA. The ROC curve was used to determine the optimal cut-off point of platelet count for the prediction of the development of PIH. The mean platelet count in the case was found to be 154.87 (± 42.56) × $ 10^{3} $/µL while in controls the mean platelet count was 273.47 (± 34.08) × $ 10^{3} $/µL. The ROC analysis showed that platelet count < 225 × $ 10^{3} $/µL was a cut-off point to differentiate whether the pregnant women develop PIH or not with a sensitivity of 96.7% and specificity of 90%. In conclusion, a decrease in platelet count was significantly associated with the development and severity of PIH. Eclampsia (dpeaa)DE-He213 Platelet (dpeaa)DE-He213 Pre-eclampsia (dpeaa)DE-He213 Pregnancy-induced hypertension (dpeaa)DE-He213 Abebe, Yekoye aut Amsalu, Hailemariam aut Enthalten in SN comprehensive clinical medicine [Cham] : Springer International Publishing, 2019 5(2023), 1 vom: 05. Juni (DE-627)1037103696 (DE-600)2947252-0 2523-8973 nnns volume:5 year:2023 number:1 day:05 month:06 https://dx.doi.org/10.1007/s42399-023-01481-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2023 1 05 06 |
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10.1007/s42399-023-01481-5 doi (DE-627)SPR051805898 (SPR)s42399-023-01481-5-e DE-627 ger DE-627 rakwb eng Hailu, Molla verfasserin (orcid)0000-0003-1769-5198 aut Evaluation of Platelet Count’s Role in the Prediction of Pregnancy-Induced Hypertension 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Pregnancy-induced hypertension (PIH) is the main pregnancy-specific disease that causes maternal and perinatal death. In recent years, active treatment of pre-eclampsia after 34 weeks of gestation has resulted in good maternal and perinatal outcomes, but the treatment of early-onset pre-eclampsia patients is still unsatisfactory. So the prediction of PIH has become a research hot spot. Therefore, this study attempted to evaluate if a change in platelet count during pregnancy can be used to predict the development of PIH. A comparative cross-sectional study was conducted among 30 healthy normotensive pregnant women and 30 women with PIH. Face-to-face interviews’ using a structured questionnaire and physical examination supplemented with laboratory investigations were used for data collection. Statistical data analysis was done using an independent t-test, linear regression, and one-way ANOVA. The ROC curve was used to determine the optimal cut-off point of platelet count for the prediction of the development of PIH. The mean platelet count in the case was found to be 154.87 (± 42.56) × $ 10^{3} $/µL while in controls the mean platelet count was 273.47 (± 34.08) × $ 10^{3} $/µL. The ROC analysis showed that platelet count < 225 × $ 10^{3} $/µL was a cut-off point to differentiate whether the pregnant women develop PIH or not with a sensitivity of 96.7% and specificity of 90%. In conclusion, a decrease in platelet count was significantly associated with the development and severity of PIH. Eclampsia (dpeaa)DE-He213 Platelet (dpeaa)DE-He213 Pre-eclampsia (dpeaa)DE-He213 Pregnancy-induced hypertension (dpeaa)DE-He213 Abebe, Yekoye aut Amsalu, Hailemariam aut Enthalten in SN comprehensive clinical medicine [Cham] : Springer International Publishing, 2019 5(2023), 1 vom: 05. Juni (DE-627)1037103696 (DE-600)2947252-0 2523-8973 nnns volume:5 year:2023 number:1 day:05 month:06 https://dx.doi.org/10.1007/s42399-023-01481-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2023 1 05 06 |
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Hailu, Molla @@aut@@ Abebe, Yekoye @@aut@@ Amsalu, Hailemariam @@aut@@ |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Pregnancy-induced hypertension (PIH) is the main pregnancy-specific disease that causes maternal and perinatal death. In recent years, active treatment of pre-eclampsia after 34 weeks of gestation has resulted in good maternal and perinatal outcomes, but the treatment of early-onset pre-eclampsia patients is still unsatisfactory. So the prediction of PIH has become a research hot spot. Therefore, this study attempted to evaluate if a change in platelet count during pregnancy can be used to predict the development of PIH. A comparative cross-sectional study was conducted among 30 healthy normotensive pregnant women and 30 women with PIH. Face-to-face interviews’ using a structured questionnaire and physical examination supplemented with laboratory investigations were used for data collection. Statistical data analysis was done using an independent t-test, linear regression, and one-way ANOVA. The ROC curve was used to determine the optimal cut-off point of platelet count for the prediction of the development of PIH. The mean platelet count in the case was found to be 154.87 (± 42.56) × $ 10^{3} $/µL while in controls the mean platelet count was 273.47 (± 34.08) × $ 10^{3} $/µL. The ROC analysis showed that platelet count < 225 × $ 10^{3} $/µL was a cut-off point to differentiate whether the pregnant women develop PIH or not with a sensitivity of 96.7% and specificity of 90%. 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Evaluation of Platelet Count’s Role in the Prediction of Pregnancy-Induced Hypertension Eclampsia (dpeaa)DE-He213 Platelet (dpeaa)DE-He213 Pre-eclampsia (dpeaa)DE-He213 Pregnancy-induced hypertension (dpeaa)DE-He213 |
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evaluation of platelet count’s role in the prediction of pregnancy-induced hypertension |
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Evaluation of Platelet Count’s Role in the Prediction of Pregnancy-Induced Hypertension |
| abstract |
Abstract Pregnancy-induced hypertension (PIH) is the main pregnancy-specific disease that causes maternal and perinatal death. In recent years, active treatment of pre-eclampsia after 34 weeks of gestation has resulted in good maternal and perinatal outcomes, but the treatment of early-onset pre-eclampsia patients is still unsatisfactory. So the prediction of PIH has become a research hot spot. Therefore, this study attempted to evaluate if a change in platelet count during pregnancy can be used to predict the development of PIH. A comparative cross-sectional study was conducted among 30 healthy normotensive pregnant women and 30 women with PIH. Face-to-face interviews’ using a structured questionnaire and physical examination supplemented with laboratory investigations were used for data collection. Statistical data analysis was done using an independent t-test, linear regression, and one-way ANOVA. The ROC curve was used to determine the optimal cut-off point of platelet count for the prediction of the development of PIH. The mean platelet count in the case was found to be 154.87 (± 42.56) × $ 10^{3} $/µL while in controls the mean platelet count was 273.47 (± 34.08) × $ 10^{3} $/µL. The ROC analysis showed that platelet count < 225 × $ 10^{3} $/µL was a cut-off point to differentiate whether the pregnant women develop PIH or not with a sensitivity of 96.7% and specificity of 90%. In conclusion, a decrease in platelet count was significantly associated with the development and severity of PIH. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Abstract Pregnancy-induced hypertension (PIH) is the main pregnancy-specific disease that causes maternal and perinatal death. In recent years, active treatment of pre-eclampsia after 34 weeks of gestation has resulted in good maternal and perinatal outcomes, but the treatment of early-onset pre-eclampsia patients is still unsatisfactory. So the prediction of PIH has become a research hot spot. Therefore, this study attempted to evaluate if a change in platelet count during pregnancy can be used to predict the development of PIH. A comparative cross-sectional study was conducted among 30 healthy normotensive pregnant women and 30 women with PIH. Face-to-face interviews’ using a structured questionnaire and physical examination supplemented with laboratory investigations were used for data collection. Statistical data analysis was done using an independent t-test, linear regression, and one-way ANOVA. The ROC curve was used to determine the optimal cut-off point of platelet count for the prediction of the development of PIH. The mean platelet count in the case was found to be 154.87 (± 42.56) × $ 10^{3} $/µL while in controls the mean platelet count was 273.47 (± 34.08) × $ 10^{3} $/µL. The ROC analysis showed that platelet count < 225 × $ 10^{3} $/µL was a cut-off point to differentiate whether the pregnant women develop PIH or not with a sensitivity of 96.7% and specificity of 90%. In conclusion, a decrease in platelet count was significantly associated with the development and severity of PIH. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract Pregnancy-induced hypertension (PIH) is the main pregnancy-specific disease that causes maternal and perinatal death. In recent years, active treatment of pre-eclampsia after 34 weeks of gestation has resulted in good maternal and perinatal outcomes, but the treatment of early-onset pre-eclampsia patients is still unsatisfactory. So the prediction of PIH has become a research hot spot. Therefore, this study attempted to evaluate if a change in platelet count during pregnancy can be used to predict the development of PIH. A comparative cross-sectional study was conducted among 30 healthy normotensive pregnant women and 30 women with PIH. Face-to-face interviews’ using a structured questionnaire and physical examination supplemented with laboratory investigations were used for data collection. Statistical data analysis was done using an independent t-test, linear regression, and one-way ANOVA. The ROC curve was used to determine the optimal cut-off point of platelet count for the prediction of the development of PIH. The mean platelet count in the case was found to be 154.87 (± 42.56) × $ 10^{3} $/µL while in controls the mean platelet count was 273.47 (± 34.08) × $ 10^{3} $/µL. The ROC analysis showed that platelet count < 225 × $ 10^{3} $/µL was a cut-off point to differentiate whether the pregnant women develop PIH or not with a sensitivity of 96.7% and specificity of 90%. In conclusion, a decrease in platelet count was significantly associated with the development and severity of PIH. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Evaluation of Platelet Count’s Role in the Prediction of Pregnancy-Induced Hypertension |
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Abebe, Yekoye Amsalu, Hailemariam |
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| score |
7.4014006 |