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PLOS One logoLink to PLOS One
. 2023 Dec 20;18(12):e0295976. doi: 10.1371/journal.pone.0295976

Association of low blood pressure and falls: An analysis of data from the Leiden 85-plus Study

David Röthlisberger 1,#, Katharina Tabea Jungo 1,#, Lukas Bütikofer 2, Rosalinde K E Poortvliet 3, Jacobijn Gussekloo 3,4, Sven Streit 1,*
Editor: Masaki Mogi5
PMCID: PMC10732458  PMID: 38117755

Abstract

Background

Falls and consequent injuries are prevalent in older adults. In this group, half of injury-related hospitalizations are associated with falls and the rate of falls increases with age. The evidence on the role of blood pressure and the use of antihypertensive treatment on the risk of falls remains unclear in oldest-old adults (≥85 years).

Objectives

To examine the association between systolic blood pressure (SBP) and incident falls with medical consequences in oldest-old adults and to analyse whether this association is modified by the use of antihypertensive treatments or the presence of cardiovascular disease.

Methods

We analysed data from the Leiden 85-plus Study, a prospective, population-based cohort study with adults aged ≥85 years and a 5-year follow-up. Falls with medical consequences were reported by the treating physician of participants. We assessed the association between time-updated systolic blood pressure and the risk of falling over a follow-up period of five years using generalized linear mixed effects models with a binomial distribution and a logit link function. Subgroup analyses were performed to examine the role of antihypertensive treatment and the difference between participant with and without cardiovascular disease.

Results

We analysed data from 544 oldest-old adults, 242 (44.4%) of which used antihypertensives. In 81 individuals (15%) ≥1 fall(s) were reported during the follow-up period. The odds for a fall decreased by a factor of 0.86 (95% CI 0.80 to 0.93) for each increase in blood pressure by 10 mmHg. This effect was specific to blood pressure values above 130mmHg. We did not find any evidence that the effect would be modified by antihypertensive treatment, but that there was a tendency that it would be weaker in participants with cardiovascular disease (OR 0.81, 95% CI 0.72 to 0.90 per 10mmHg) compared to those without cardiovascular disease (OR 0.94, 95% CI 0.84 to 1.05 per 10mmHg).

Conclusion

Our results point towards a possible benefit of higher blood pressure in the oldest-old with respect to falls independent of the use of antihypertensive treatments.

Introduction

Hypertension is a common cardiovascular risk factor among adults aged 75 years and over [1]. For example, in the United States of America up to 75% of adults older than 75 years have been diagnosed with hypertension with numbers being slightly lower in Europe [2, 3]. The Joint National Committee (JNC8) defined hypertension as an elevated systolic blood pressure over 140 mmHg or elevated diastolic blood pressure over 90 mmHg [4]. Different observational studies showed an association between higher blood pressure and cardiovascular disease (CVD) and mortality [5, 6]. Therefore, low blood pressure is considered a protective factor for different diseases, such as CVD, renal insufficiency [7], retinopathy [8] and death, which is why hypertension should be treated [9, 10]. The treatment of hypertension in oldest-old patients is receiving greater attention, as the number of individuals within the oldest old age group within the general population is increasing rapidly as life expectancy increases. In this patient group, however, intensive blood pressure control and antihypertensive treatment can lead to overtreatment and treatment-related complications.

Different observational studies suggest that the positive relationship between high blood pressure and mortality is weakened in oldest-old adults [1113]. For instance, a recent study showed that older frail adults with high systolic blood pressure (SBP) had a lower risk of all-cause mortality, suggesting that high SBP may be protective [14]. Further, the use of antihypertensive treatment increases adverse effects, such as dizziness, vertigo and falls [15]. Different studies showed that blood pressure lowered by antihypertensive treatment is considered a risk factor for first time falls and also recurrent falls in nursing home residents and in older adults living in assisted living in serviced apartments [16, 17]. One of the most commonly observed adverse effects from antihypertensive treatment and low blood pressure are falls and fall-related injuries [18]. Study results from the PARTAGE study showed a higher mortality risk for nursing home residents who took multiple blood pressure medications and achieved systolic blood pressure levels below 130 mmHg [19]. According to a report published by the World Health Organization [20], falls are a major public health problem in particular because they are associated with an increased mortality [21]. Therefore, the prevention of falls is of importance. However, the evidence on the association between falls and blood pressure in the oldest-old adults remains unclear.

In addition, the role of antihypertensive treatment on falls in oldest-old adults remains unclear. On the one hand, these medications may lead to changes in electrolyte levels or orthostatic hypotension, which could lead to falls in older adults [22]. On the other hand, there is evidence that antihypertensive treatment may improve cerebral blood flow and carotid distensibility and thus reduce the risk of falling [23, 24]. To contribute to filling the current research gaps, the aim of this study was to study the association between systolic blood pressure (SBP) and incident falls in oldest-old adults and to analyze whether this association is modified by the use of antihypertensive treatments or a history of cardiovascular disease.

Materials and methods

Setting

For this study we used the data from the Leiden 85-plus Study, a prospective population-based cohort study of inhabitants of the city of Leiden in the Netherlands [25, 26]. As reported elsewhere, between September 1997 and September 1999 the study team enrolled 705 inhabitants of the city in the month of their 85th birthday [25, 26]. There were no exclusion criteria applied. From the target population of 705 inhabitants, 14 (2.0%) died before enrolment and a total of 566 participants gave their informed consent (or proxy consent was obtained) and were enrolled into the study [27]. In the present analyses, from the participants who provided informed consent to participate in the Leiden 85-plus Study, the data of 544 participants with any information on incident falls and blood pressure were analysed (96% of the cohort). As part of the Leiden 85-plus Study, participants were visited twice for face-to-face interviews and clinical examinations one month after their 85th birthday at the start of the study [27] and yearly thereafter with a follow-up of five years.

Definitions of key variables and covariates

Blood pressure

Blood pressure was measured yearly for all participants up to the age of 90 years. During these home visits, blood pressure was measured twice in a seated position with a mercury sphygmomanometer. Before measurement the participants were resting for at least five minutes and had not been exercising in the preceding 30 minutes. For the data analysis the mean of both measurements was calculated.

Falls

The participants were followed-up for falls each year during a follow-up period of five years. At baseline and during the annual follow-up visits, the general practitioners or nursing home physicians were questioned about the medical history of the participants including their history of falls with medical consequences. For the present analyses, we used falls as a binary outcome (min. 1 falls vs. no falls).

Antihypertensive treatment

Pharmacists provided a detailed listing of the medications used by participants. Antihypertensive treatment was defined using ATC (Anatomic Therapeutic Chemical) code groups. All medications included in the ATC code Group C02 (antihypertensives) were defined as antihypertensive treatment. Medication use was documented at baseline and during follow-up. For the present analyses, antihypertensive medication use was defined as a binary variable (use vs. no use) in each year of follow-up. We did not use any information on medication dosages.

Other variables

Sociodemographic variables were recorded during the study visits (gender, education, income, living situation). For subgroup analyses the presence of CVD was documented (yes/no). CVD was defined as a diagnosis of either angina pectoris, myocardial infarction, heart failure, intermittent claudication, peripheral arterial surgery, transient ischemic attack (TIA) or stroke.

Statistical analyses

We used descriptive statistics to report baseline characteristics of our sample stratified by antihypertensive treatment. The longitudinal data with one entry per year was modelled using generalized linear mixed effects models with a binomial distribution and a logit link function. We used falls as a binary outcome (yes/no), the time-updated SBP as a fixed covariate, and added a random intercept for the participants to account for the correlation structure in the data. For the main analysis, we assumed a linear effect of SBP on the log odds for falls and the results are presented as multiplicative change in the odds for falls for an increase in SBP by 10 mmHg. As sensitivity analyses, to test whether the direction of the association was stable across the spectrum of mmHg values, we fitted piecewise linear models for SBP using linear splines with one or two knots and adjusted for the year of follow-up. For subgroup analyses, we added further covariates to the models including the time-updated intake of antihypertensives, history of CVD (at baseline) and death within the study, and their interaction with blood pressure. Further we stratified for frailty defined as lower than median hand grip strength or not able to perform a hand grip. Missing data was handled via the mixed effects models. All participants with non-missing information on blood pressure and falls on at least one time point were included in the main analysis. For participants who died or dropped out of the study, all observations up to the time point of death or drop-out were included. For all analyses we used Stata 16.0 (StataCorp, College Station, TX, USA).

Ethics approval and consent to participate

The Medical Ethical Committee of the Leiden University Medical Center approved the original Leiden 85-plus Study. We confirm that all methods used in this study were carried out in accordance with the relevant guidelines and regulations. All participants provided informed consent before participating in the study, and all data were collected and analyzed according to applicable privacy and confidentiality laws.

Results

In total, there were 3396 patient-years collected from the 544 included participants throughout the follow-up period at different timepoints. A total of 2249 patient-years from 544 participants had information on both falls and blood pressure and were used in our main analysis. Over the follow-up period of five years, we observed 340 patient-years in which at least one fall was reported, and we observed 1909 patient-years in which no falls were reported.

We observed an association between low SBP and a higher risk of falling (Fig 1). Overall, we found that the odds for a fall decreased by a factor of 0.86 (95% confidence interval (CI) 0.80 to 0.93) per 10 mmHg higher SBP. Using piecewise linear models, we found that the effect was only present in the group with SBP above 130 mmHg where the odds for falls decreased by 0.83 (95% CI 0.76 to 0.91) per 10 mmHg increase in SBP (S1 Fig in S1 File). Below 130mmHg there was no such association (OR: 1.64, 95% CI 0.93–2.91). Similar results were obtained after adjustment for the year of follow-up (S2 Fig in S1 File).

Fig 1. Association between blood pressure and the probability of falls (n = 2249).

Fig 1

This figure shows the modelled probability to have at least one fall per year for different blood pressures (solid line) with 95% confidence band (shaded area). The points represent the raw data aggregated for blood pressures of <130, 130–140, 140–150, 150–160, 160–170 and >180 mmHg.

Of the included participants, 242 (44%) were prescribed antihypertensive treatment at baseline. Beside the fact that the subgroup without antihypertensive treatment had a smaller proportion of individuals with CVD (33.3% vs. 62.1%) the two subgroups were similar (Table 1). In 81 individuals (15%) one or more falls occurred in year before baseline. There was no difference in falls before baseline between the subgroup with or without antihypertensive treatment.

Table 1. Baseline characteristics.

Domains Overall (n = 544) Antihypertensive treatment (n = 242) No antihypertensive treatment (n = 302) P-palue
Socio-demographic characteristics
    Women, n (%) 372 (65.7) 170 (68.6) 202 (63.5) 0.21
    Low education1, n (%) 339 (64) 158 (66.7) 181 (61.2) 0.27
    Low income2, n (%) 259 (49.2) 144 (49) 115 (49.4) 0.93
    Institutionalized, n (%) 78 (14.7) 37 (15.6) 41 (14) 0.59
Health characteristics
    SBP in mmHg, mean (SD) 155.4 (18.6) 154.9 (16.7) 155.8 (19.9) 0.56
    CVD3, n (%) 260 (45.9) 154 (62.1) 106 (33.3) <0.001
    At least 1 fall in year before baseline4, n (%) 81 (14.8) 40 (16.5) 41 (13.5) 0.74

1defined as primary school only.

2defined as state pension only (about EUR 750 monthly)

3cardiovascular disease included angina pectoris, myocardial infarction, heart failure, intermittent claudication, peripheral arterial surgery, Transient ischemic attack (TIA) and stroke

4 at least 1 fall in the year before baseline as reported by general practitioners of participants

Acronyms: CVD = cardiovascular disease, SBP = systolic blood pressure

When comparing participants with and without antihypertensive treatment, we found in both groups a decreasing probability of falling with higher blood pressure (odds ratios of 0.81, 95% CI 0.72 to 0.91 without and 0.89, 95% CI 0.80 to 1.00 with antihypertensives, respectively) (Fig 2). We did not find evidence for an interaction between the use of antihypertensives and blood pressure (p for interaction = 0.248, S3 Fig in S1 File). When using spline models, we observed again that the effect was only present in the group with SBP above 130 mmHg. The results remained similar when we adjusted by the year of follow-up (S4 Fig in S1 File).

Fig 2. Association between blood pressure and the probability of falls in participants with and without antihypertensives (without antihypertensives: n = 890 no antihypertensives; with antihypertensives: n = 1022).

Fig 2

The figures show the modelled probability to have at least one fall per year for different blood pressures (solid line) with 95% confidence band (shaded area). The points represent the raw data aggregated for blood pressures of <130, 130–140, 140–150, 150–160, 160–170 and >180 mmHg.

Fig 3 shows the association between blood pressure and the probability of falls in participants with and without CVD. In the subgroup of participants without a diagnosis of CVD the association between blood pressure and the probability to fall was more pronounced (odds ratio 0.81, 95% CI 0.72 to 0.90 per 10mmHg) than in participants with a diagnosis of CVD (odds ratio 0.94, 95% CI 0.84 to 1.05) (S8 Table in S1 File) (p for interaction 0.053, S9 Table in S1 File). The results remained similar when adjusting the models for the year of follow-up (S5 Fig in S1 File) and for frailty (S7 Fig in S1 File).

Fig 3. Association between blood pressure and the probability of falls in participants with and without cardiovascular disease (CVD) (without CVD: n = 1300; with CVD: n = 938).

Fig 3

The figures show the modelled probability to have at least one fall per year for different blood pressures (solid line) with 95% confidence band (shaded area). The points represent the raw data aggregated for blood pressures of <130, 130–140, 140–150, 150–160, 160–170 and >180 mmHg.

We did not find any evidence that the association of blood pressure and falls would depend on whether participants died during the study (S6 Fig in S1 File, p for interaction = 0.52). The odds for falls decreased by 0.86 (95% CI 0.77 to 0.94) and 0.90 (95% CI 0.79 to 1.01) per 10 mmHg for patients who did not and did die during the study, respectively.

Discussion

This study aimed at investigating the association between systolic blood pressure and incident falls and to analyze whether this association is modified by the use of antihypertensive treatments or the presence of cardiovascular disease in older adults aged ≥85 years. We found that above the threshold of 130mmHg lower systolic blood pressure (SBP) values were associated with a higher risk of falling with the odds for falls decreasing by 0.83 (95% CI 0.76 to 0.91) per 10 mmHg. Below 130mmHg there was no such association (odds ratio: 1.35, 95% CI 0.81 to 2.26). In participants with and without antihypertensive treatment, the probability of falling decreased with higher blood pressure, particularly above SBP values of 130 mmHg. In the subgroup of participants without a history of CVD, the association between blood pressure and the probability to fall was more pronounced than in participants with a history of CVD. Overall, the results tend to point toward a possible benefit of higher systolic blood pressure in the age group of the oldest-old adults on the risk of falling.

In our study, we observed a lower risk of falling compared to other studies [28, 29]. One potential explanation for this discrepancy lies in the limitations of our study, which included only falls with medical consequences. This selective inclusion of falls with medical outcomes may have led to the observed lower risk, as it excludes less severe or non-medically relevant falls.

Our results are in line with previous studies on the association between systolic blood pressure and falls. For example, Klein [30] found, in a study with participants aged ≥60 years, an association with a decreased risk of falls in women with high blood pressure. At the same time, other observational studies point in the direction of low blood pressure being disadvantageous for older-old adults with regards to other patient outcomes. For instance, different studies showed that lower systolic blood pressure is associated with greater mortality in older adults aged 85 and over [12, 13].

There remains a lot of uncertainty around the ideal SBP targets in oldest-old adults. Mühlbauer studied the literature relating to pharmacotherapy of hypertension in frail older patients and found conflicting results of randomized controlled trials and non-randomized studies, resulting in an absence of evidence-based recommendations. Nevertheless, the authors recommend that in patients over 80 years of age with a gait speed of less than 0.8 m/s target blood pressure values of 150 mmHg should be aimed for while in patients who are not more than mildly frail blood pressure values of 130-139mmHg should be aimed for [31].

Based on various studies, there is inconclusive evidence about the relationship between blood pressure and falls in different subgroups. For instance, a study from Sweden found that blood pressure and fall risk varied by functional status in patients over 60 years old [32]. In participants without functional impairment, high blood pressure was associated with a higher risk of falls. Low blood pressure was associated with an increased probability of falls in older adults with functional impairment. Similarly, in a Chinese community of older adults with an SBP over 140 mmHg, Song found frailty to be a risk factor for falls [33]. Furthermore, the before mentioned study by Klein was able to show a gender-specific difference [30]. In persons 60 years and older the effects of hypertension on reducing falls risk were only observed in women. In contrast, low blood pressure levels (BP<120/80 mmHg) were associated with increased fall risk in men.

Different studies investigated the association between antihypertensive treatment and falls. However, most previous research was done in ‘younger’ populations of older adults compared to the study population in our analyses (≥85 years). Similar to our findings, Zachary did not find an overall association between the use of antihypertensive treatment and recurrent falls in participants aged 70–79 years [34]. A meta-analysis from 2013 did not find an association between the use of any antihypertensive treatment and an increased risk of fall injuries in the oldest old either [35]. However, a case-crossover study with over 90’000 participants, found a short-term, but no long-term increased risk of fall injuries after antihypertensive treatment initiation in participants ≥65 years old [22]. Similarly, Tinetti et al. [36] found a significant association between the use of antihypertensive treatment and an increased risk of serious fall injuries. These findings seem to differ from ours. While we investigated the risk of falls with medical consequences that were reported by participants and their general practitioners, they defined serious fall injuries based on emergency department visits recorded in claims data. This difference, together with the possibility that participants in our study may have used antihypertensive treatment for a longer period and those with falls may have already stopped it, may be one reason for the different results.

Strengths and limitations

With a high inclusion rate and almost complete follow-up, this study benefits from being based on a population-based sample of oldest old adults. The generalisability of this study is further enhanced by including data from participants living in nursing homes and not only community-dwelling older adults. Further, it is strengthened by the fact that the study design allowed to establish a temporal relationship between time-updated SBP values measured and outcome assessments over the follow-up of five years.

We would like to highlight some limitations. First, this is an observational study with data collected from 1997 onwards and therefore has limitations due to its study design. For example, the relationship between exposure and outcome may be biased or confounded by unmeasurable or uncontrollable factors (such as orthostatic hypotension or psychotropic medication for example). However, our sensitivity analyses show similar results. Secondly, we assumed data missing at random in the mixed-effects models. That might not be the case, especially for missingness due to death. Survivorship bias therefore cannot be excluded. However, we did not find any evidence that death during the follow-up period would modify the effect of blood pressure on falls. The third limitation was the focus on falls with medical consequences that were reported by general practitioners, which may have led to an underestimation of the overall number of falls. Since falls were assessed yearly, there was a maximum time delay of one year for recording a fall. Finally, a lack of continuous drug monitoring and absence of dosing information are other limitations of this study.

Conclusion

The findings of this study demonstrate that above the threshold of 130 mmHg lower systolic blood pressure values are associated with a higher risk of falls with medical consequences in adults aged 85 years and older independent of the use of antihypertensive treatment. Again, the effect was present in the group with SBP above 130 mmHg but not below. Our results thus point towards a possible benefit of higher blood pressure in the oldest-old with respect to falls.

Supporting information

S1 File

(DOCX)

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

The Leiden 85-plus Study was funded in part by an unrestricted grant from the Dutch Ministry of Health, Welfare and Sports. Prof. Streit’s research is supported by grants (P2BEP3_165353) from the Swiss National Science Foundation (SNF) and the Gottfried and Julia Bangerter-Rhyner Foundation, Switzerland. These analyses did not receive any additional funding. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Masaki Mogi

2 Nov 2023

PONE-D-23-23975Association of low blood pressure and falls: An analysis of data from the Leiden 85-plus StudyPLOS ONE

Dear Dr. Streit,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

==============================

The manuscript is necessary to be major-revisioned according to the Reviewer's comments.

==============================

Please submit your revised manuscript by Dec 17 2023 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

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Masaki Mogi

Academic Editor

PLOS ONE

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1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

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2. Thank you for stating the following financial disclosure:

“The Leiden 85-plus Study was funded in part by an unrestricted grant from the Dutch Ministry of Health, Welfare and Sports. Prof. Streit’s research is supported by grants (P2BEP3_165353) from the Swiss National Science Foundation (SNF) and the Gottfried and Julia Bangerter-Rhyner Foundation, Switzerland. These analyses did not receive any additional funding.”

Please state what role the funders took in the study.  If the funders had no role, please state: "The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."

If this statement is not correct you must amend it as needed.

Please include this amended Role of Funder statement in your cover letter; we will change the online submission form on your behalf.

3. Your ethics statement should only appear in the Methods section of your manuscript. If your ethics statement is written in any section besides the Methods, please delete it from any other section.

4. Please include your tables as part of your main manuscript and remove the individual files. Please note that supplementary tables (should remain/ be uploaded) as separate "supporting information" files

5. Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly. Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting-information.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: No

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: With interest I have read the manuscript.

In my opinion, the manuscript may benefit from an elaboration of the authors regarding the limitations of their study design by comparing their findings with other published data. For example, only 15% of the study sample experienced at least one fall. Data show that 30-40% of adults older than 65 years fall yearly (https://www.acpjournals.org/doi/full/10.7326/0003-4819-157-3-201208070-00462). In their study in the oldest-old, only 15% had reported to have fallen in the previous year. This is a large difference that should be emphasized more. See also: https://www.tandfonline.com/doi/full/10.2147/CIA.S57580.

In addition, the authors have only corrected for a small list of confounders without justification of the selection. Where is this based on? Falls are multifactorial in nature, and it seems like some major fall-risk factors such as orthostatic hypotension, frailty/dependence, and non-antihypertensive concomitant medications (e.g., psychotropic medications: https://link.springer.com/article/10.1007/s40266-014-0225-x) are not considered?

Also, reading the manuscript, reflection on potential differences between antihypertensive (sub)classes in associations with fall risk (e.g., https://www.sciencedirect.com/science/article/pii/S1525861017306989) are missing. Was it possible to do subgroup analyses based on antihypertensive (sub)class?

Is it possible to calculate time to first fall and/or number of falls instead of any fall during follow-up? This may be more informative.

Lastly, I would like to advice the authors to thoroughly review the main text of the manuscript for typo's (e.g., person instead of persons in lines 270-271), odd phrasing (example lines 163-164 "in older patients with functional status greater than 60 years old"), omissions (line 80: "values" missing before blood pressure?) and duplications (example: "however" in lines 76-77).

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

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Reviewer #1: No

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PLoS One. 2023 Dec 20;18(12):e0295976. doi: 10.1371/journal.pone.0295976.r002

Author response to Decision Letter 0


24 Nov 2023

Point-by-point Response

Journal requirements:

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming.

Response: We have reviewed the relevant guidelines and adjusted the documents as per your requirements.

2. Thank you for stating the following financial disclosure:

“The Leiden 85-plus Study was funded in part by an unrestricted grant from the Dutch Ministry of Health, Welfare and Sports. Prof. Streit’s research is supported by grants (P2BEP3_165353) from the Swiss National Science Foundation (SNF) and the Gottfried and Julia Bangerter-Rhyner Foundation, Switzerland. These analyses did not receive any additional funding.” Please state what role the funders took in the study. If the funders had no role, please state: "The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript." If this statement is not correct you must amend it as needed. Please include this amended Role of Funder statement in your cover letter; we will change the online submission form on your behalf.

Response: We have adjusted the "financial disclosure" section in accordance with your instructions. Thank you for your guidance. It now reads:

The Leiden 85-plus Study was funded in part by an unrestricted grant from the Dutch Ministry of Health, Welfare and Sports. Prof. Streit’s research is supported by grants (P2BEP3_165353) from the Swiss National Science Foundation (SNF) and the Gottfried and Julia Bangerter-Rhyner Foundation, Switzerland. These analyses did not receive any additional funding. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

3. Your ethics statement should only appear in the Methods section of your manuscript. If your ethics statement is written in any section besides the Methods, please delete it from any other section.

Response: Thank you for your feedback. We have revised the manuscript as per your request, ensuring that the ethics statement now appears exclusively in the Methods section (p. 8).

4. Please include your tables as part of your main manuscript and remove the individual files. Please note that supplementary tables (should remain/ be uploaded) as separate "supporting information" files.

Response: We've included the tables in the main manuscript and removed the individual files, as requested. Supplementary tables are now in separate "supporting information" files.

5. Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly. Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting-information.

Response: We have included captions for the Supporting Information files at the end of our manuscript and updated in-text citations to match accordingly.

Reviewers' comments:

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Response: Thank you for your review and assessment of our manuscript. We appreciate your feedback and are pleased to hear that you found our research technically sound and concluded appropriately based on the presented data.

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: No

Response: We have taken note of the reviewer's comment, and we reviewed and made the necessary adjustments to ensure that the statistical analysis is performed appropriately and rigorously. The detailed description of these modifications can be found in the second part of the cover letter.

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Response: Thank you for your evaluation.

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Response: Thank you for your assessment.

5. Review Comments to the Author

Comment 1:

In my opinion, the manuscript may benefit from an elaboration of the authors regarding the limitations of their study design by comparing their findings with other published data. For example, only 15% of the study sample experienced at least one fall. Data show that 30-40% of adults older than 65 years fall yearly (https://www.acpjournals.org/doi/full/10.7326/0003-4819-157-3-201208070-00462). In their study in the oldest-old, only 15% had reported to have fallen in the previous year. This is a large difference that should be emphasized more. See also: https://www.tandfonline.com/doi/full/10.2147/CIA.S57580.

Response: Thank you for this comment. We appreciate your suggestion to elaborate on the limitations of our study design and to compare our findings with other published data. We have taken your feedback into account, and in our revised manuscript, we have included a discussion of the observed differences in fall rates between our study and existing literature. In our conclusion and key points, we specifically tailored the text to highlight falls with medical consequences (as measured in our study), acknowledging and addressing this distinction to provide a more nuanced interpretation of our findings, which may contribute to the observed lower risk of falling compared to other studies.

Manuscript Change: The text on p. 13, Line 290-294 now reads:

In our study, we observed a lower risk of falling compared to other studies. One potential explanation for this discrepancy lies in the limitations of our study, which included only falls with medical consequences. This selective inclusion of falls with medical outcomes may have led to the observed lower risk, as it excludes less severe or non-medically relevant falls.

The text on p. 2 Line 64-66 now reads:

We found that above the threshold of 130mmHg higher systolic blood pressure values were associated with a lower risk of falls with medical consequences in oldest-old adults, independent of the use of antihypertensive medications.

The text on p. 16 Line 381-383 now reads:

The findings of this study demonstrate that above the threshold of 130 mmHg lower systolic blood pressure values are associated with a higher risk of falls with medical consequences in adults aged 85 years and older independent of the use of antihypertensive treatment.

Comment 2:

In addition, the authors have only corrected for a small list of confounders without justification of the selection. Where is this based on? Falls are multifactorial in nature, and it seems like some major fall-risk factors such as orthostatic hypotension, frailty/dependence, and non-antihypertensive concomitant medications (e.g., psychotropic medications: https://link.springer.com/article/10.1007/s40266-014-0225-x) are not considered?

Response:

We agree with the reviewer’s comment that several factors can lead to a fall. However it is not possible to correct for each and every one. We therefore needed to select confounders that are a) relevant and b) available in the dataset. As described on page 7, we chose beside socio-economic characteristics factors like the presence of a cardiovascular disease (CVD) and allowed our models to analyse time-updated information of antihypertensive medication. Because we do not have time-updated data on orthostatic hypotension or psychotropic medication we updated our limitations section. However, we can include a stratification for frailty where the results did not differ for patients with or without frailty (frailty defined as lower than median hand grip strength or not able to perform a hand grip).

This leads to the following changes:

Manuscript Change: The Text on p.7 Line 183-184 now reads:

Further we stratified for frailty defined as lower than median hand grip strength or not able to perform a hand grip.

The Text on p.11 Line 255-257 now reads:

The results remained similar when adjusting the models for the year of follow-up (S5 Fig) and for frailty (S7 Fig).

The Text on p. 15 Line 353-356 now reads:

For example, the relationship between exposure and outcome may be biased or confounded by unmeasurable or uncontrollable factors (such as orthostatic hypotension or psychotropic medication for example).

Comment 3:

Also, reading the manuscript, reflection on potential differences between antihypertensive (sub)classes in associations with fall risk (e.g., https://www.sciencedirect.com/science/article/pii/S1525861017306989) are missing. Was it possible to do subgroup analyses based on antihypertensive (sub)class?

Response: We appreciate your comment and the suggestion for subgroup analyses based on antihypertensive subclasses.

It's important to note that our study was not specifically designed to delve into the nuances of different types of blood pressure-lowering medications. One contributing factor to this decision is the common practice of prescribing these medications in combination, making it challenging to attribute effects to individual subclasses accurately. Also, one would need to incorporate dosage, dosage over time and other factors such as kidney function. Our primary focus was on understanding the broader relationship between blood pressure levels and falls within the limitations of the available dataset however in a highly representative cohort with time-updated information on blood pressure and a long follow-up.

Furthermore, it's worth noting that creating subgroups based on antihypertensive subclasses would likely result in small sample sizes, limiting the statistical power and reliability of any conclusions drawn in this context.

Thank you for your understanding and consideration.

Comment 4:

Is it possible to calculate time to first fall and/or number of falls instead of any fall during follow-up? This may be more informative.

Response: The information on falls was collected annually without dates. Therefore we chose to annually analyze data on falls.

Comment 5

Lastly, We would like to advice the authors to thoroughly review the main text of the manuscript for typo's (e.g., person instead of persons in lines 270-271), odd phrasing (example lines 163-164 "in older patients with functional status greater than 60 years old"), omissions (line 80: "values" missing before blood pressure?) and duplications (example: "however" in lines 76-77).

Response: Thank you for your valuable feedback. We have carefully reviewed the manuscript and addressed the issues you pointed out, including typos, odd phrasing, omissions, and duplications. We have made the necessary revisions to enhance the clarity and quality of the text.

Manuscript Change:

The text on p.14 , Line 466-468 now reads:

In persons 60 years and older the effects of hypertension on reducing falls risk were only observed in women.

The text on p.14 , Line 320-322 now reads:

For instance, a study from Sweden found that blood pressure and fall risk varied by functional status in patients over 60 years old.

The text on p.4 , Line 88-89 now reads:

Different observational studies suggest that the positive relationship between high blood pressure and mortality is weakened in oldest-old adults.

The text on p.4 , Line 85-87 now reads:

In this patient group, however, intensive blood pressure control and antihypertensive treatment can lead to overtreatment and treatment-related complications.

Decision Letter 1

Masaki Mogi

4 Dec 2023

Association of low blood pressure and falls: An analysis of data from the Leiden 85-plus Study

PONE-D-23-23975R1

Dear Dr. Streit,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Masaki Mogi

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: (No Response)

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Eveline van Poelgeest

**********

Acceptance letter

Masaki Mogi

11 Dec 2023

PONE-D-23-23975R1

Association of low blood pressure and falls: An analysis of data from the Leiden 85-plus Study

Dear Dr. Streit:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at customercare@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Masaki Mogi

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 File

    (DOCX)

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


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